All posts by USM

How AI Advances Patient Recruitment in Clinical Trails

Patient recruitment plays a major role in the timelines and success of a clinical trial. But the traditional recruiting process has been nothing less than a mammoth task. Besides being time-consuming and costly, a lot of effort is needed to find the right candidates and of course, chances of dropouts will also be high.

Artificial Intelligence (AI) for patient recruitment in clinical trials has proven to be a game-changing solution. AI uses pattern recognition and medical record analysis to find eligible participants for clinical trials.

Want to know more about how AI technology advances patient recruitment in clinical trials? This article explores the role of AI in streamlining recruitment, real-time use cases, and challenges in AI implementation for clinical trials.

Challenges of Patient Recruitment in Clinical Trials

Patients who participate in medical research are the most important assets for a clinical trial. If this process gets extended or delayed, it can impact the timeline of the trial, and sometimes even the trial can be terminated prematurely.

During the process of recruitment, finding patients who meet the strict eligibility criteria is one of the primary challenges. The task gets even more complicated with a huge amount of data to analyze. During this labor-intensive process, there is a high risk of human error as well.

Even if suitable candidates are enrolled for the clinical trial, managing them throughout the trial process is another challenge. Due to several factors like lack of engagement, insufficient support, and inconvenient study protocols, patients might drop out in the middle of research work.

Apart from these challenges, the traditional recruitment process also suffers from limited reach and inefficiency. Depending on referrals, local advertising, and outreach programs may not be helpful in gathering a large pool of participants.

These challenges highlight the need for more effective recruitment solutions to ensure the success of clinical trials. 

Role of AI in Streamlining Patient Recruitment

Artificial intelligence has helped to transform and redefine several aspects of healthcare, including patient recruitment for clinical trials. Using NLP, data analysis, and machine learning, AI addresses the challenges often faced with the traditional recruitment process. Let us explore how AI manages to address them efficiently.

Patient Identification and Matching

This is the most significant advantage of using AI in clinical trials. Traditional methods heavily rely on manual processes and broad criteria, often leading to mismatches or missed opportunities. But AI uses machine learning algorithms to easily analyze large datasets to identify eligible candidates.

AI algorithms can identify subtle patterns and correlations that human recruiters can miss. For example, AI can examine electronic health records (EHRs), medical histories, and other relevant data to find out who is eligible for the clinical trial. Since this is an automated process, eligible participants can be identified with less effort and time. This high level of accuracy not only speeds up the recruitment process but also ensures the overall quality of the participant pool.

Furthermore, the ability to analyze data in real-time helps AI monitor and stay up-to-date with patient information. For example, if the initial recruitment process has not resulted in the expected yield of candidates, then AI can either identify alternative options or adjust the criteria to broaden the search without compromising the trial’s integrity.

Avoiding human error is another crucial benefit of using AI in patient recruitment. The manual process of patient identification and matching is prone to mistakes, leading to inefficiency. But with AI’s automated system, there is less chance of errors. So, the recruitment process stays efficient and reliable.

Patient Engagement and Retention

Another crucial factor in ensuring the success of a clinical trial is patient retention. Previously, in traditional methods, the changes in dropouts and patients’ lack of motivation were high. These factors often contribute to trial extension and determine the validity of a study.

AI’s innovative solutions track patient engagement through personalized communication and support strategies. AI platforms can create customized communication plans for every participant to ensure they receive timely information throughout the trail. They use machine learning algorithms.

AI chatbots and virtual assistants are quite helpful in these situations, as these tools provide 24/7 support to patients. They are available 24/7 to answer questions, guide participants, and address concerns throughout the trial. This process builds trust and motivation among the participants to feel valued and connected to the trial.

Using predictive analysis, AI can analyze patterns in patient behavior and identify any potential dropouts beforehand. This early detection allows trail coordinators to provide encouragement and support to ensure the continuity of the study.

Furthermore, AI can also optimize study protocols to improve participant convenience and satisfaction. For example, AI algorithms can suggest adjustments to data collection and visit schedules based on preferences and lifestyles. This flexibility ensures the participants adhere to trail requirements without disrupting their daily lives.

Integrating AI with Electronic Health Records (EHRs)

Electronic health records contain medical histories, treatment records, and demographic information. One of the key benefits of integrating AI with EHRs is the ability to conduct real-time analysis. AI algorithms can monitor EHRs for any updates in patient information, ensuring that recruitment efforts remain current and respond to changes in patient status.

Furthermore, AI’s integration with EHRs ensures data privacy and compliance with regulations. Advanced AI systems are designed to operate within the confines of data protection laws. These systems use encryption and secure protocols to handle sensitive patient information.

AI Application for Patient Recruitment in Clinical Trials- Real-time Examples

Several research institutions and pharmacy companies have already started using AI for their clinical trials to ensure smooth processes and remarkable results. Below, we have mentioned a couple of successful stories about using AI for patient recruitment.

Case Study 1: IBM Watson Health and Mayo Clinic

IBM Watson and Mayo Clinic have collaborated to streamline patient recruitment for their clinical trials. Using AI and machine learning algorithms, Watson Health was able to analyze EHRs and other patient data to identify eligible candidates quickly. This collaboration has significantly reduced the time required to recruit participants. And since AI was able to process vast amounts of data accurately and quickly, researchers were able to focus more on patient care and trial management than administrative tasks. 

Case Study 2: Pfizer’s BLUE-SKY Initiative

Pfizer started BLUE SKY initiative to explore artificial intelligence and other innovative technologies. By integrating AI tools with their recruitment process, Pfizer was able to improve patient identification and engagement. Through an AI-driven approach, Pfizer was able to communicate with candidates more efficiently, which led to successful studies. This initiative has demonstrated how AI could be integrated into large-scale pharmaceutical operations.

Challenges and Limitations of AI in Patient Recruitment

Although AI greatly improves patient recruitment for clinical studies, it does come with a few challenges. The main issues are data privacy and ethical issues, since AI systems need access to sensitive health data. To keep patients’ trust, compliance with data security laws is essential. There are other technical difficulties as well, like training the AI algorithms, which require huge sets of data and on-going maintenance to keep the systems stable.

Balancing human touch and AI automation is essential in clinical trials. Relying just on AI can lead to impersonal interactions, which would undermine trust. If the data that is fed to AI is unreliable or biased, then it can negatively impact the recruitment process.

Conclusion

Artificial intelligence is making a huge impact on the recruitment process for clinical trials. As AI continues to evolve, its role in clinical trials is expected to grow, paving the way for more effective and timely medical advancements. Using data analysis, pattern recognition, and personalized communication, AI provides accurate and efficient results in patient recruitment. AI-driven tools streamline identification and matching of eligible patients and improve participant retention through tailored support.

Despite these advancements, it is crucial to address the ethical, technical, and practical challenges associated with AI implementation. Furthermore, fostering a better understanding and acceptance of AI technologies will be key to their successful integration into clinical trials.

USM, the best AI development company, will help drug development companies seamlessly find patients for clinical trails, and streamline end-to-end processes.

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AI in Transportation and Logistics

AI in Logistics Industry: Key Benefits and Use Cases (AI use cases in transportation)

Just imagine the world without a transport facility! If you want to travel long distances, how would you go?

And, if a leading manufacturing company has to transport goods to its customer locations, then how it will do that without transport and logistics facilities?

I think you understood the significance of the transportation industry. It’s a mandatory need for both individuals as well as businesses.

Do you believe or not the history of the initiatives across the transportation industry has exploded in 1787 when the steamboat has invented. Later in the 19th century with the invention of the bicycle, the industry moved to its next level. After that motor car era had come in the 1890s, trains in the 19th century, and finally aircraft in 1903. Manufacturing of more vehicles that meet all human transportation needs based on market demand.

This was the major reason behind the advancements in this sector using innovative technologies. Automobile or vehicle manufacturers are focusing on spreading the wings of artificial intelligence across the sector to gain from the increasing demand.

Artificial Intelligence (AI) is one of the best technology supporting the transportation industry in many ways. AI-enabled applications in transportation have transformed the transportation sector tremendously. AI Applications in Transportation are making our lives easier, safer, and more efficient.

Artificial intelligence in public transport, private transport, and personal transport has progressed in such a level that vehicles are moving without any assistance from humans. Thanks to Artificial Intelligence (AI) technology. Artificial intelligence technology in transportation is helping the industry to enhance safety, reduce unexpected accidents, reduce traffic, carbon emission, and also lower complete financial expenses.

On the businesses front, Applications of Artificial Intelligence in Transport increases productivity, automation level, and overall excels sales indicators.

USM, the best mobile app development company, has immense experience in using artificial intelligence technology to develop futuristic travel apps that make trips more effortless. In addition, being one of the best AI app development companies, we also build enterprise-level AI solutions for helping logistics firms track their fleet in real-time.
Would you like to know what we delivered to the transportation sector? Please go through one of our significant AI in transportation case study.

 

Recommend: How Automotive Industry Is Evolving With Artificial Intelligence?

 

AI technology in transport will bring huge revolutions, not only to the vehicles but also to the complete ecosystem. Let’s take some examples of AI use cases in transportation.

The Role of AI in Logistics and Supply Chain Management

Top 6 AI use cases in the transportation sector

Artificial intelligence use cases or applications in transportation let you know why the transportation business players are looking to invest in artificial intelligence technology. Here, we briefed out a few top use cases of artificial intelligence in the transportation industry. Let’s have a look at the below AI in transportation examples.

#1 AI for autonomous or self-driving vehicles

Will transportation become autonomous?

Japan has already launched its first version of autonomous vehicles in the country. Accordingly, the United States transportation & logistic industries are also holding the power of AI to spread self-driving trucks for reducing operational costs. Likewise, the global developed and developing markets are adopting AI in their transportation rapidly.
AI is playing a major role in the manufacture of self-driving vehicles. We all know that the biggest automobile manufacturers like Nissan, Toyota, Hyundai, and so many vehicle manufacturers will introduce their model of driverless vehicles.
It is just the beginning, but we can’t imagine the market with the complete expansion of AI in the development of driverless cars.

Be ready to see a drastic change in transportation using artificial intelligence!

#2 AI Applications In Transportation

Artificial Intelligence applications in transportation for managing traffic is one of the popular use case of the technology. AI for traffic management is one of the best AI applications for the traffic management system. Artificial intelligence systems predict and reduce traffic congestion and improve road safety.

The AI-powered traffic management system provides greater flexibility to driverless cars in the future. However, the integration of the IoT-enabled high-resolution cameras would also bring a big revolution in the sector.
Hence, AI, together with cloud and IoT, will completely reduce wait times at traffic signals and reduce the traffic over the roads.

#3 Reduce passenger wait times

AI mobile apps for Android and iOS are allowing users to book taxis online and ensure safe trips. Using computer vision and Data Lake techniques, transport apps are making the best data-driven decisions for reducing the waiting time of passengers who booked their service.

#4 Drone Taxis

It is one of the advantages of AI in the transportation industry. Drone taxis are one of the best innovative AI applications in transportation. Drone systems have already been expanded in delivery systems. The technology developments would also help to design and manufacture intelligent drone taxies soon. No wonder in it.

#5 Remote controlled cargo ships

It is also one of the best answers for How Will AI Impact the Transportation Industry. Along with the benefits of Artificial intelligence in public transport systems, for the past few years, cargo ships will also be controlled remotely using artificial intelligence.

Logistics departments can monitor their cargos and stay in connection all the time to track their safe arrival to destinations. It is one of the best use cases of AI in transportation. Hence, it is expected that AI will drive autonomous cargo ships to fullest in the future.

#6 AI in Trucking

The truck transport business is one of the fields where the implementation of AI is growing rapidly. Artificial intelligence and machine learning technologies are improving freight efficiencies. As the market trends are predicting that AI technology and automation are the future of the transportation industry, self-driving trucks are more crazy innovations among others. Hence, AI in transportation and logistics offers more fruitful business results to the service providers.

Future of AI In Transportation

The growth and advantages of AI in the transportation industry cannot be explainable. The practical use of A.I. in transportation will 100% ensure profitable business for organizations across the transportation sector.

AI has already had its grip on changing industrial processes and the transportation sector is also greatly impacted by AI. As we discussed, the examples of AI implementation in transport will give unbelievable results to service providers than expected. With the craze towards autonomous vehicles, increasing concern towards safety and security, and focus on reducing operational costs, the demand and adoption of AI technology in transportation are growing increasingly.

According to the market reports, it is estimated that the AI transportation market will be valued at $3.5 billion by 2023. In particular, North America (US, Mexico, and Canada) region is anticipated to contribute more to the AI in the transportation market value.

Here are a few more business advantages of AI in transportation.

Advantages Of AI In Transportation

Let’s discuss a few artificial intelligence opportunities that are delivered to the transportation sector.

How has technology changed transportation?

#1 Smart Logistics Functions

Leveraging real-time sensor data and previous data regarding traffic, weather, waiting time, stop maintenance, etc., the transportation system can navigate the routes smartly.

#2 Forecasting Vehicle Maintenance

The future of AI in transportation for forecasting vehicle maintenance would be promising. The AI systems can forecasts vehicle maintenance with the help of data collected from smart sensors. You can use telematics solutions to monitor the vehicles in real-time. AI solutions will send alerts and conditions of the vehicles so that you can save yourself from probable hazards.

#3 Track planner with traffic expectation and real-time updates

While traffic congestions are inescapable, AI can predict the traffic jams and accordingly adjust your path.

#4 Intelligent Staff Management

To advance the productivity and safety of drivers, intelligent driver behavior monitoring apps will be useful. Using data captured by the IoT sensors, you can manage your fleet through data-controlled dashboards for smart trucks, ships, and trains connectivity.

Hence, AI in the transportation industry is quite impressive. The impact of AI-enabled applications in transportation are resourceful. USM, the best #AI development company, is a leader in offering quality AI-based solutions and artificial intelligence services to customers across various industries.

Are searching for a reliable AI solutions provider or artificial intelligence Service Company, then you’re in a perfect place. Get in touch with USM!

 

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The Future of AI in Mobile App Development

AI in Mobile App Development: Explanation, Examples and Benefits

Yes, driven by the increasing usage of smartphones, there exist several mobile apps in the market. Artificial Intelligence In Mobile App Development are playing a vital part in human life. They are gaining more attention from customers with its flexible features. The users are looking at flexible advanced mobile apps that meet their requirements quickly and easily.

The mobile AI applications meet the needs of both individuals and service providers. Without mobile apps, no sector will gain profits. Innovative and intelligent mobile apps help retain customers for the long run in this current digital era.

Particularly, banks and finance companies are highly investing in mobile applications. This sector needs innovative mobile apps to engage their users confidentially. Mobiles apps also taps the needs of users in seconds. By just log-in to the app with banking credentials, the users can continue their search from any corner of the world.

Credit card/debit card details, transactions, and loan information, what else everything is possible using mobile apps. Every data is available on the fingertips. Every client request is processed and solved by banks through apps only. Thus, AI in the banking and finance industry is witnessing tremendous growth.

Accordingly, AI in e-commerce are also attracting customers with high-speed android apps. For instance, the online grocery stores through apps offering easy-to-choose products, notifying customers about special offers, discounts & new launches, and encrypted payment gateways.

Thus, mobile app development companies bringing their experience and skills together to introduce an advanced mobile app that includes the capabilities of next-generation cognitive technologies like artificial intelligence.

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Is AI Offer Opportunities to Mobile App Developers?

The apps with something new features and benefits compared to the existing ones will quickly expand in the market. Integration of mobile Artificial Intelligence (AI) into your apps might help you stand out from the crowd.

According to market estimates, the mobile app industry is gradually shifting to Artificial intelligence. To achieve marketing gains, AI is one of the best investment areas for all businesses now. In particular, driven by the increasing expansion of smartphones, mobile app development companies are investing heavily in designing apps that infused AI capabilities.

As consumers are preferring and installing mobile apps with intelligence features, the mobile app developers and service and solution providers are focusing on developing apps that improve user experience, engage them efficiently, and provide useful data for which they search.

Mobile applications of AI can analyze data and produce valuable insights to identify the behavioral patterns of every app user. AI mobile apps intellectual abilities that deliver significant domino effects without the need for human assistance.

Learn more: How USM’s AI Solutions Benefit Your Business?

AI apps can adopt a new set of data and deliver continuous and valid results. This led AI to revolutionize in the industry and offering intensified market opportunities to the app developers. Thus, most of the mobile app developers investing in AI to engage with their customers confidentially.

Are Artificial Intelligence-Driven Mobile Apps Getting Smarter?

Increased usage of smartphones has led to the expansion of AI in the industry. Smartphone users are spending much of their time on Apps. Thus, the companies are adopting artificial intelligence with the belief that it can ultimately manage their customers efficiently.

AI-infused mobile apps or smart mobile apps are currently gaining momentum in the industry and also from the customer perspective. AI technology is improving the experience of mobile app users since the recent past few years. The AI apps easily navigate and assist the users in completing the activities that they need.

On the other hand, as app technology is advancing, the expectations of users are also increasing. The users are expecting predictive mobile apps that meet every need of them.

According to Gartner, to meet the changing user’s preferences, by 2020, maximum technology giants to introduce the most advanced AI-based mobile apps. Starbucks and Taco Bell have already released their intuitive and interactive mobile apps using AI. These apps can analyze user’s purchase trends and thus improves sales. Hence, Starbucks and Taco Bell achieved customer retention, profits, and huge ROI too.

Now, we can image the competition level in the industry. If your mobile app is not updated with AI, then your customers may choose your competitor’s app. Before they opt for your competitor’s app, you attract them with next-generation, high-speed, intelligently build AI mobile applications.

The Future of Artificial Intelligence in Mobile App Development

Mobile apps are re-shaping the way businesses operate. Statistics reflect that mobile app downloads to reach 258 billion by 2022. No wonder, if this number exceeds!

So, businesses need to move forward with more innovations and developments to fulfill the increased customer demand for intelligent mobile apps. In particular, customers are showing more interest in downloading mobile apps that provide more personalization services to them.

We found five significant mobile app trends that you should know in 2020 to remain competitive in the market. These trends would help to boost their business operations by knowing the opportunities as well as challenges that the businesses and developers face in the future of the mobile app industry.

1. Artificial Intelligence and Machine Learning (ML) enabled mobile apps increase personalization

Nowadays, smartphone users are looking to get more personalized mobile apps that meet their needs faster. So, the old app technologies need to be upgraded to deliver personalized mobile apps. This will be done by using AI and ML technologies in mobile app development.

AI and ML allow mobile applications to understand and analyze the user’s interest and perform necessary actions without being told to do so. This kind of artificial intelligence apps for iPhone and android helps to improve user personalization experience. Hence, the importance of AI in app development is extremely high.

2. Voice-enabled mobile apps will attract more user

Voice-based intelligent mobile apps are more in demand in the market. As technology is developing day-by-day, the development and launch of more advanced mobile apps are also growing in the market.

Though a full conversational virtual mobile assistants are not yet designed, few of the best AI-based mobile apps are grabbing user attention. They can understand the user-written content and spoken language and responding accordingly.

3. Rapid Developments of 5G Technology

The introduction and complete roll-out of 5G technology will not only offer high-speed internet services but will also give opportunities to mobile app developers as it creates a complete data-driven environment.

5G network technology ensures high-speed connectivity as well as the best smartphone experience. It takes very little time to respond to the user search request. Data collection, processing, and sharing every task will be completed 10 times faster than existing networks. Hence, mobile app developers should deliver apps that support the upcoming 5G network.

4. Cloud technology- based mobile apps will be in attention

Cloud technology was a proven record of its significance in the mobile app development industry. To store a vast amount of user data, developers are focusing on integrating cloud technology into mobile apps. It means that data stored in physical devices will be mounted on the cloud and can be retrieved as per the user requirement.

By mounting mobile apps data in the cloud, users can access the app features and use them without bothering about device storage space. Yeah, cloud-based mobile apps along with increasing productivity, they also make the development process faster and simple.

5. M-commerce Will Drive The Mobile App Development Industry

Intelligent mobile apps are allowing users to buy or sell things over the internet through their mobile devices. For instance, google wallet is one of the best apps that allows users to pay using mobile instead of using payment cards such as credit or debit cards. To develop this kind of app, mobile app developers need to integrate a secured payment gateway to the apps that can process every transaction.

USM has similar kind AI-based mobile app solution. Explore Now!

Well, Now, What About Your Mobile App?

Now, it’s time to engage your customers with AI and ML-based mobile apps. USM’s AI experts with forward-thinking abilities deliver next-level mobile apps by embedding AI capabilities with ML and deep learning techniques.

Who knows, the integration of your thoughts and our expertise may introduce one of the intelligent apps that keep you forefront in the competition. You’re only a click away from success! Connect USM to know how our Mobile apps help your business.

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How Much Does It Cost to Develop an App Like KFC?

Restaurant apps continue to drive the food industry and experience amplified demand from users.  Convenient food ordering facilities and hassle-free ways to find nearby restaurants are helping users order on the go as well as experience excipient dining options. Yes, restaurant apps are now offering seamless ways to users in browsing menus, choosing food items, find nearby restaurants, book dining tables, and opt for convenient door delivery or flexible takeaway.

Moreover, real-time order tracking, personalized recommendations on their favourite items, exclusive discounts, and other loyalty programs are further increasing the demand for usage of restaurant apps.

On the other hand, restaurants too are reaping the benefits from mobile app investments. Improved customer experiences, extended brand reach and visibility, order efficiency, streamlined operations, more sales, and customer retention are a few of the significant benefits to restaurants offered by restaurant app development (Android/iOS).

The KFC app or KFS online ordering app is one such mobile application developed by multinational restaurant conglomerate KFC. Since its launch to the market, this app has generated over 10 million downloads and offers the fastest way to order delicious KFC food online conveniently. KFC was also been popularized as it allows users to find nearest KFC outlet and order food, ensuring quick door deliveries. 

If you running a restaurant and executing only offline, then the time has arrived to create a mobile app for kickstarting your online presence. In this digital age, without a mobile app, it will be tough to extend brand awareness and generate cashflows.

In this article, we have discussed the must-have features and functionalities of the Indian biggest restaurant apps like KFC. You can also get cost information to create a KFC India online ordering app like a popular restaurant platform.

Here we go!

Features and Functionalities To Consider For KFC App Like Similar Platform

The features of the KFC app have significantly contributed to its business growth and app success in India. This largest food delivery app in India is now the first choice of techies to meet their KFC chicken cravings without reaching KFC outlets.

Top Features for User Panel Development

• User Registration and Login
• Social Media login and sharing facility
• User profile management
• Attractive UI
• Search option with custom filters
• Menu Section
• Orders tracking real-time
• Nearby nearest Outlet finding facility
• Orders history
• Multiple payment options
• Payments history
• Discounts and coupons apply
• Quick & speedy delivery
• Pre-order feature
• Re-order to save users’ time
• Push notifications
• Reviews and Ratings
• Voice-enabled search functionality
• In-app customer support chatbot
• In-app messaging feature 

Must-have features for Delivery Agent Panel Development

Delivery agent panel development needs to integrate features that streamline the process of order deliveries and ensure a superior level of communication between customers and delivery agents. Here are a few top features for making the delivery agent functionalities smooth and collaborative.

• Delivery agent signup and login
• Rider profile management
• Updates on orders in real-time
• Orders Management (Accept or Delete)
• GPS navigators for route optimization
• In-app communication, such as calling or chatting facility
• Delivery status updates
• Payment Status updates
• Agent support services
• Ratings and Feedback

Integration of these friendly features into your KFC-like food delivery application ensures efficient delivery services, thereby benefiting the restaurant in terms of customer loyalty and end-customers in terms of reliable and quick deliveries.

Are you looking to know the cost of building an app like KFC? Here is the information you looking for:

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How Much Does it Cost to Create an App Like KFC?

The average cost of KFC food delivery app development will range from $20,000 to $40,000. However, the cost of KFC-like restaurant mobile app development will depend on many factors. Restaurant app development companies consider factors such as app size, features, design complexity, technology stack, app development platform, and many more to decide the cost of building an app like KFC.

Moreover, testing and QA, maintenance & support, and app promotional and post-launch maintenance all impact the estimated budget of mobile app development like KFC. From research, design, and development to update, maintenance, and promotion, every phase is significant and needs a budget. All factors will impact the estimated cost of building an app like KFC.

Let’s delve deep into the factors that impact the cost of building an app like KFC.

1. Development Platform and Type

The choice of application development platform significantly affects the final app development costs. Your choice between native app development, hybrid app development, or cross-platform development that supports Android, iOS, and/or web OS impacts the code complexity, resource utilization, and investment of time.

If you choose native app development on either Android or iOS involves huge development costs as compared to hybrid and cross-platform application development. This is all because native apps are specific to the operating system and mobile app developers need to write separate codebases for ensuring efficient performance and nativity. It will increase the development costs.

Whereas code written for cross-platform applications using Flutter and React-native-like frameworks is portable and platform-independent. Hence, the mobile app development team can write code once and deploy it on multiple platforms, thereby reducing development costs. So, be smart in selecting a mobile app development platform and type.   

2. Features and Functionalities 

The features and functionalities of either Android app iOS app or Web app play a significant role in deciding their development costs. The complexity of features will increase the development time and expertise required for mobile application development.

Adding advanced features and functionalities, such as real-time location tracking, restaurant finding, in-app AI customer support chatbot, voice-enabled search functionality, etc., need more time and incur higher development costs. Hence, the features and functionalities will contribute to variations in mobile application development costs. A set of complex features and advanced functionalities will increase the app’s size and price, but they improve the app’s uniqueness.

Top mobile app development companies like USM are experts in balancing the app’s requirements and your budget. Get a free quote for KFC-like food delivery app development.       

3. Design Complexity 

The User Interface (UI) and User Experiences (UX) designs play a crucial role in determining apps’ appearance to the end-users and success rate. It directly deals with the user experiences. Market research of users’ preferences, proper planning, requirements analysis, and end-to-end collaboration between the development team and UI designers are mandatory to come up with an intuitive mobile app design. It will increase the front-end development costs of KFC-like software development.

The best mobile application development agency like USM with seasoned UI designers designs appealing UI/UX designs and ensures seamless user experiences, contributing to better user engagement. We balance the time, budget, and resource availability and provide cost-effective mobile app development services to clients across various industries. 

4. Technology Stack 

The technology stack you select will also significantly impact the development cost of KFC a famous online food ordering and delivery application. The set of programming languages, UI frameworks, libraries you import, plugins, and databases you choose for storage, will all directly impact the development costs.

Moreover, to include AI-chatbot-like features, mobile app development companies will use Artificial Intelligence (AI) like cutting-edge technologies. Using such leading-edge technologies to create an app like KFC, needs expert AI developers. It will potentially increase the overall development cost of a KFC-like food app.

Moreover, when the application needs to be compatible with various other platforms, application scalability, and performance issues will also incur hidden costs. But, hiring USM-like a top mobile app development company in the USA will balance technologies and budget constraints. Understanding your application requirements, our top app developers choose the right technology stack to ensure flawless performance and reduce scalability issues. 

5. Mobile app developers’ location 

The region of mobile app developers you hire will determine the cost of building an app like the KFC food delivery app. The hourly rate of mobile app development services will be different from region to region. For instance, if you hire top app developers from North America with higher cost-of-living regions, then the app development expenses will go beyond the estimated price.

In contrast, top mobile app development companies in India and other Asian markets will offer budget-friendly software development services to their clients. So, while hiring Android or iOS app developers, it is essential to balance their hourly rates of development teams with your budget limit to experience cost benefits. 

6. Team Size

The team size of mobile app developers impacts the final costs of KFC clone app development. To create a mobile application (Android or iOS), you should hire a company with a team of resources specialized in development, designing, testing, code debugging, and quality assurance experts. Hiring such an experienced team increases development costs, however, their expertise ensures faster development within fewer sprints.

USM, the best mobile application development company, determines your project complexity, timeframe, and your budget. Our expert software development team leverage their proven best practices in food delivery app development and ensure to deliver cost-effective and high-performance application within deadlines.

7. External API Integrations 

Integration of third-party Application Programming Interfaces (APIs) into your KFC clone app will impact on overall development costs of software. Significant licensing charges required for deployment and usage of external APIs contribute to extra costs. However, integration of APIs, such as secure payments APIs, will improve the application functionalities and enhance user experiences. 

8. Maintenance and Support 

Mobile app developers should emphasize the significance of MVP development with key features for reducing the burden of extra development expenditures. Because ongoing maintenance and support to incorporate changes in features and external APIs will further impact long-term development costs. Regular updates to the software, bug-fixing. performance optimization, user feedback analysis, and support services will all incur extra costs.

Being a popular #software development firm USA and India, USM helps in the design and development of budget-friendly Android and iOS apps. We deploy highly functional, secure, and highly advanced mobile apps using leading-edge technologies.

 

Wrapping Up!

We hope that this article has given information to companies across the food industry who have plans to create a mobile app. Starting from market research and user-friendly app design to integration of delivery agent features and functionalities, every module influences the development costs.   

Do you have a restaurant app development idea? 

Get in touch with USM to avail cost-effective application development services!

 

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Transforming Credit Card Management: The Impact of AI and ML

The role of AI and ML in transforming credit risk management in banking

Credit-card fraud has been a prime challenge for customers and financial organizations in this digital age. Globally, more than $28 billion was lost last year from credit card fraud. It is going to rise in the future, and hence there is a need for robust risk management mechanisms.

Previously, risk in credit card portfolios was managed through a variety of manually developed procedures for fraud detection and prevention. However, traditional methods have become ineffective against today’s intelligent hacking methods.

Fortunately, the advent of AI and ML has transformed credit card risk management processes. These technologies process huge volumes of data and can effectively detect anomalies, mitigating threats. This technological shift shall create a better transaction security experience for customers through reduced false positives and smoother and safer transactions.

The article will discuss how AI and ML can solve traditional credit card risk management problems. We are also going to look into the different techniques used, the benefits of using AI and ML for credit card risk management, and some case studies with real-world examples.

An Overview of Credit Card Risk Management

It is the process of identifying, assessing, and mitigating the risks associated with credit card transactions. Therefore, this whole process can be regarded as paramount to protecting consumers and even financial institutions against fraudulent activities.

Traditionally, credit card risk management depended on rule-based systems and manual reviews. In the rule-based system, as the name implies, predefined criteria are used in the identification of risky transactions. For example, transactions exceeding a certain amount or originating from unusual locations raise red flags. While providing some form of security, these measures were typically inadequate to handle increasing volumes and sophistication in credit-card transactions.

This can often result in the generation of a lot of false positives by rule-based systems misinterpreting a legal transaction as fraud. This might anger customers and put additional workload on customer service. Further, fraudsters are continuously inventing new techniques that make it pretty hard for the static rule-based system to detect new threats.

The Role of AI and ML in Credit Card Risk Management

1. Transforming Risk Management

AI and ML have transformed credit card risk management with much more accurate, efficient, and dynamic approaches toward fraud detection and mitigation. These technologies use large datasets and complex algorithms that enable identifying trends and outliers in real time. This approach opens up avenues for proactive threat detection and response.

2. Real-Time Fraud Detection

AI and ML systems are very good at real-time fraud detection, for they continuously monitor transactions and user behavior. While traditional, rule-based approaches could not detect these newer styles of distributed fraud schemes, AI and ML adapt rapidly to new patterns of fraud once they appear. This will ensure that financial institutions are always one step ahead of fraudsters in the identification of suspicious activities before they can cause great damage.

3. Pattern Recognition and Anomaly Detection

The major strengths of AI and ML in risk management are their ability to identify complex patterns and detect anomalies indicative of fraudulent behavior. Such systems create baseline behaviors through the analysis of historical transaction data, user profiles, and contextual information. Deviations from these norms trigger alerts for further investigation. This level of precision helps in distinguishing genuine transactions from fraudulent ones, thus reducing the incidence of false positives.

4. Continuous Learning and Improvement

These AI and ML models learn from new data continuously, which can only improve their fraud detection capabilities over time. As more transactions are processed and different fraud scenarios unfold, these models will fine-tune their algorithms to be more accurate and efficient. This is an ongoing spiral of improvement, ensuring the risk management system will change as the landscape of fraud evolves.

5. Automation and Efficiency

AI and ML can substantially reduce the need for reviews subject to risk management by automating a number of aspects involved in this particular area. Automated systems can process volumes of data at lengths and speeds inconceivable to any human analyst, allowing for effective fraud detection in a timely manner. This not only improves operational efficiency but also frees human resources to deal with more complex and risky cases that require nuanced decision-making.

6. Integration with Existing Systems

AI and ML technologies can be combined with pre-existing frameworks of risk management, thereby delivering greater potential and effectiveness without requiring an overhaul in their entirety. Equally, this will give a financial institution a chance to utilize the current running infrastructure and receive all the benefits coming from advanced AI and ML-driven insights. The result is going to be an ultimately more solid, responsive system of risk management that is able to adapt itself to polished threats and challenges.

Key Challenges and Considerations To Overcome

While AI and ML have huge potential in credit card transaction risk management, there are also a number of pitfalls and issues that arise with their implementation. Bringing solutions to these problems will be key to maximizing the effectiveness of the technologies and their ethical working.

1. Data Privacy

Since AI and ML systems are data-driven, the door is also wide open to a number of potential data privacy and security issues. However, the financial institutions should be in a position to protect sensitive customer information and establish mechanisms of data collection, storage, and processing that consider applicable privacy regulations under GDPR and CCPA; this argues further that appropriate encryption methods, access controls for customers, and good anonymization techniques will be implemented accordingly.

2. Regulatory Compliance

One of the major challenges institutions face in implementing AI and ML is managing the complex landscape of financial regulations relevant to the use and processing of data. This requires stringent controls and the associated transparency expected by regulators. Hence, institutions will have to ensure compliance with these regulations, which may involve regular audits, documentation, and reporting of AI and ML models to regulatory authorities.

3. Implementation Barriers

AI and ML technologies can be resource-intensive to adopt. Some of the common challenges faced while implementing AI and ML include:

• High Costs: Setting up AI and ML infrastructures, software, and personnel with exceptionally high skills can be really resource-intensive.
• Technical Complexity: The development and maintenance of AI and ML systems require special knowledge and expertise that are often absent in some organizations.
• Integration problems: The overall incorporation of AI and ML into underpinning systems and workflows has proved to be quite problematic. Careful thought in planning and execution will be needed if the technology is to work seamlessly.

Real-time Case Studies and Real-World Examples

Real-world examples will attest to how AI and ML find practical applications in credit card risk management. Case studies will illustrate how financial institutions have tapped into such technologies to frustrate fraud, enhance security, and improve customer satisfaction.

Many of the leading financial institutions have included AI and ML within the risk management framework with quite excellent results:

• JPMorgan Chase: AI-driven systems for tracking and analyzing millions of transactions every day have been put in place. Its AI models detect fraudulent activities with high accuracy, reducing false positives drastically and increasing the security of overall transactions.
• HSBC: ML algorithms at HSBC enhance their capability for fraud detection. Analysis of the historical transaction data will help in discovering the spend pattern; therefore, these companies can ensure prevention and prediction accordingly. This proactive policy has caused a notable decrease in fraud-related losses.

USM Business systems is also a pioneer in AI-powered mobile app development fraud detection. We help you keep your and yours esteemed customers data privacy and financial safety through developing high-quality advanced credit risks management apps.

Conclusion

AI/ML-powered mobile app development for fraud detection is the best option in this digital age. These technologies provide better accuracy, real-time processing, cost efficiency, and an improved customer experience.

At the same time, all the challenges and considerations involved do not overshadow the bright future awaiting AI and ML in risk management. Only those financial institutions that embrace these technologies will adapt to the ever-changing landscape of credit card fraud and ensure safe and satisfied customers.

 

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AI in Digital Marketing — The Complete Guide

How AI Is Reshaping Marketing Operations?

In this digital environment, Artificial Intelligence (AI) means a lot to digital marketing teams. AI marketing solutions are offering the best ways to derive valuable insights from the marketing data and helping organizations to build strong brand awareness in this competitive digital space.

Artificial Intelligence in marketing help marketing teams to build an efficient interactive platform between customers and businesses and reach maximum targeted audience base over online. Most of the digital marketers have already recognized the importance of AI in marketing for brand promotional activities.

Herein, we will give a brief on AI in Marketing: Benefits, Use Cases, and Examples. In this article, we give you a guide on-

• What is Artificial Intelligence (AI) Marketing?
• Why AI is so powerful for marketers?
• What are the major gears of AI marketing?
• How AI will Impact Your Digital Marketing?
• Top 10 benefits of using AI in digital Marketing?
• Top 8 AI Stats/trends that you must know as a digital markets
• Will AI be the future of digital marketing?

What Is AI In Marketing?

AI marketing is defined as one of the best approaches to predicting the customer’s next step for providing a better experience. Further, the use of AI in digital marketing will also assist marketing executives in analyzing the preferences of the targeted audience and offering personalized offerings to them. Such AI prediction would help organizations increase customer retention rate and boost sales.

Using significant AI concepts like Machine Learning (ML), Deep Learning, Predictive Analytics, and Big Data are helping marketers to boost digital marketing activities and derive the best results from automation, intelligent, and forecasting capabilities of AI.

Moreover, using the power of big data insights, digital marketing teams can efficiently analyze customers search patterns, their interests, and build a perfect image of their marketing strategy.

Hence, the use of AI and ML in marketing helps businesses of all sizes to aggressively run digital campaigns, find the targeted group of audience, know their preferences, and execute the best brand promotional campaigns. Hence, AI in marketing operations plays a key role in generating sustained leads for the company, thus ensure strong business line in this competitive era.

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Why AI Is So Powerful for Digital Marketers?

The role of artificial intelligence in marketing is showing great impact on digital marketing activities. The use of AI and ML in marketing operations is very much needed in this 21st century. According to market research, over 45% of completely matured enterprises have already deployed artificial intelligence marketing solutions for analyzing vast amounts of customer data, forecast their needs, and improve experiences. Hence, digital marketers are being implementing AI strategies to reaching their marketing targets.

Global digital marketers believe that applications of AI in digital marketing empowers online marketing approaches and take the brand value to new heights in this digital space.

Overall, AI will be a powerful asset for conducting aggressive and thoughtful digital promotional activities. Artificial intelligence in digital marketing continues to advance its existing marketing approaches and make every business smarter.

Get Smarter With Artificial Intelligence (AI) Digital Marketing Tools

AI Marketing Trends to Watch Out In 2024

Let’s take a look at the top trends of AI in Digital Marketing.

#1 Big Data

The primary role of big data in digital marketing is to help marketers in making decisions faster based on the insights derived from customer data.

Yes, Big data is a vast concept of data collection from various sources. It is an effective component for doing digital marketing campaigns. It helps digital marketers’ in segmenting complex customer data sets, deriving insights, knowing personalized preferences, and providing the best services to customers at the right time through a selected communication channel.

#2 Machine Learning

Artificial intelligence marketing solutions developed using machine learning will help digital marketers to derive valuable insights from this massive quantity of data. The use of ML in digital marketing help to identify market trends, predict demand, and provide customer-oriented services. Hence, adoption of ML algorithms in AI marketing allow marketers to perform revenue-worthy operations.

#3 Emotional AI

Technology is advancing more than ever like before. AI-based solutions for digital marketing can interpret customer emotions and communicate accordingly. It’s a wonderful thing that happens using emotional AI technology.

Learn more about how USM AI Solutions can help you expand your marketing operations.

 

How AI Will Impact Your Digital Marketing?

We have explained in many of our blogs that Artificial Intelligence is revolutionizing many industries, including marketing. Ranging from baking and finance, and healthcare to retail, manufacturing, and travel, AI is changing the way of doing business.

Various AI concepts such as text-to-speech recognition, Natural Language Processing (NLP), and voice recognition technologies are all enabling machines to perform human-like tasks with more intelligence. AI-based conversational chatbots are one of the best examples of intelligent customer support solutions or NLP apps in digital marketing.

So, how is AI used in marketing?

• AI in digital marketing sends personalized content to users based on their search
• Artificial intelligence in marketing helps marketers to segment their targeted audience based on their interests
• Streamlines communication channel with a Live chat customer service
• AI can transform the way of business and customer interaction
• Increase operational excellence and optimize the user experience
• AI offers continuous customer services with the use of AI chatbots
• The use of AI in marketing helps brands in cutting costs and increasing revenues

 

Benefits Of Using AI In Digital Marketing

Now, in this section, we’ll have a brief discussion on how can AI help marketing teams.

AI marketing is becoming popular day by day with the visions it provides to digital marketers. Let’s look at a few core benefits of using AI for your digital marketing purpose.

#1 Advanced and intelligent search

Are you a digital marketer?
If yes, you should remember that not only emerging technology solutions becoming smarter but also the customers too. Nowadays, customers are smarter. They prefer fast and quick response platforms and search engines.

Artificial intelligence and big data solutions can analyze user search patterns and help digital marketers for identifying key areas where they need to put their efforts. It is one of the best benefits of using for digital marketers. The digital marketing team can track their audience preferences and improve lead conversions by offering personalized services/product recommendations.

#2 Smart Advertising Strategies

Smart advertising is the best application of AI in marketing. AI reduces the efforts of digital marketers by automating advertising campaigns. It is one of the applications of AI in digital marketing. AI tools, digital marketers can publish service or product-specific ads across various mediums and reach a broader audience base.

What Is Artificial Intelligence In Advertising?

Artificial intelligence in advertising helps marketing teams to better use their keywords to target their customers quickly. The AI strategy and solutions for marketing allow digital marketers to efficiently engage customers and boost revenues.

#3 Automates Every Marketing Process

It is one of the best applications of AI in digital marketing. Marketing automation using AI is like fueling traditional marketing businesses with more and more emerging technologies. Every manual digital marketing task will be automated using artificial intelligence technology.

#4 Personalized and Superior Content Delivery

It is one of the top benefits of using AI in digital marketing. Personalized content delivery systems are the best innovation of AI technology. The importance of artificial intelligence in marketing for delivering adapted content to a targeted audience is gaining momentum in the industry.

Using AI tools, digital marketers can make use of data and target the right audience at the right time. Artificial intelligence tools and solutions in digital marketing allows marketing teams to find potential buyers and send more personalized content that meets their needs.

#5 Evolving AI Chatbot Services

It is one of the best applications of AI in marketing. Customer retention was a challenging task for digital marketers. With the use of AI-powered customer service Chatbots, marketers can retain their customers efficiently. However, over 50% of online marketing companies are depending on customer service bots to increase lead conversion rates.

#6 Lead Management and Nurture

It is one of the top benefits of AI for digital marketers. AI tools and applications in marketing identify possible potential customers and develop a healthy sales pipeline.

Artificial intelligence greatly helps digital marketing teams with Lead Management and Lead Nurture smartly.

USM Business Systems, the best custom AI development company, has a strong knowledge of using artificial intelligence technology and delivering AI solutions that improve your digital marketing operations.

#7 Find Opportunities and Trends

Digital marketers can use AI technology to find the most attractive business growth opportunities for brand expansion. Competitive Intelligence capabilities of innovative AI tools can scan a vast quantity of data to derive and analyze current market trends.

This will help marketers to forecast to build strategies that help to find new ideas for running innovative marketing campaigns.

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#8 Integration of technology and marketing teams

A combination of AI technology and your customer service team gives unbelievable marketing benefits to your business. Market analysis, customer demands, and quick response everything possible by integrating AI into your customer service teams.

#9 Conversational AI

The advantages of implementing conversational AI in marketing are wonderful. They can provide personalized experiences to your customers, and add value to your brand beyond sales. Hence, conversational AI is one of the best approaches that help you build strong relationships with your customers.

#10. Generate More Revenues

One of the best use of Artificial intelligence in marketing is analyzing the competitors’ move to witness strong sales and thus huge revenues. In addition, AI helps marketers to find patterns that are likely to impact the future of marketing business.

These are the top 10 ways to use artificial intelligence in marketing activities. On top of all, personalized content deliveries, lead management, streamlined activities, automatic email marketing campaigns, and virtual customer support services by AI assistance are all the top benefits of AI for digital marketers.

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Top 8 AI Stats That Digital Marketers Must Know

We captured a few significant statistics about the market estimation of AI in digital marketing. They include-

• Organizations that implemented AI strategies in marketing and sales were reduced by 70% of reductions in call-time
• According to McKinsey, AI will double the leads count
• The combination of AI and ML technologies reduces the percentage of shopping cart removal to 30%
• As of Venture Harbour, approximately 60% of digital marketers believe that AI is the best technology to build data strategies
• AI-enabled voice assistants would drive the growth of digital marketing
• According to Forbes, over 86% of companies are using AI to predict sales growth and improve their email marketing campaigns.
• AI trends say that AI increased online shopping frequency by 50%
• In the next three years, every digital company will make use of AI in their sales processes

Start with a plan and change your digital marketing ways with AI tools and apps.

Will AI Be The Future Of Digital Marketing?

How is AI transforming the future of digital marketing?

By reading the above information, how many of you believe that artificial intelligence is not only the technology that empowers the marketing channels today but also allows businesses tomorrow?

AI solutions for digital marketing assist marketers in automating SEO, SMM, SEM, keyword research, lead management, and email campaigns like operations and improve conversion rates.

USM’s custom AI developers in the USA and India have already predicted the market demand for AI and ML in marketing (artificial intelligence in digital marketing). Our creative technology experts are already ready with the AI-powered marketing solutions that you require.

Our artificial intelligence services and solutions take over tedious, complicated, and time-taking digital marketing operations that marketers face trouble dealing with.

As a leading AI app development company, USM delivers AI solutions for the most engaging smart digital marketing strategies.

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Top Benefits & Use Cases of AI in Insurance Industry

Impact of Artificial Intelligence on The Insurance Industry

The Impact of Artificial Intelligence AI in Insurance

Artificial intelligence is changing the world in the best way possible. It began to take over several sectors, including insurance. The insurance and finance industry has brought radical transformation since the evolution and use of AI in insurance underwriting.

AI is altering conventional insurance operations and methods significantly. Due to the high volume nature of insurance firm activities, AI technology can indeed have a digital transformation effect.

Some of the insurance companies use Artificial Intelligence (AI) and machine learning (ML) technologies to automate certain stages of the claims management process and improve customer service. Furthermore, blockchain technology is being used for fraud detection.

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How Does AI Impacts Insurance Industry?

If you are an insurance and finance service provider, you must have to know about Artificial intelligence in insurance use cases and the impact of AI on the future of insurance services.

Here, we have compiled a list of top AI applications in insurance and the adoption of this Artificial intelligence in insurance use cases will bring automation to processes, optimize productivity, and aid insurers in delivering top-notch digital experiences to their clients.

1. AI for Digital Insurance Claiming

Claim processing is a core function of insurers. It consumes lot of time of resources in manually verifying the documents.

AI for digital insurance claiming is one of the best applications of the technology. Unlike messy paperwork’s, AI insurance services digitally captures required information from smart copies and makes insurance claiming faster and efficient. Intelligent AI algorithms will take over and automate all the early claiming processes with more accuracy.

2. Risk Management Use Case in Insurance

Artificial intelligence insurance aids insurance, investment, and finance companies identify fraudulent claims and financial risks faster. AI apps or AI solutions build a secure platform between customers and insurance executives to make the process seamless.

AI and ML algorithms will verify customer documents and find risk profiles in minutes. By validating the information regarding credit, financial stability, and personal behaviour, AI-powered insurance apps help service providers’ possible insights into risks.

3. AI In Insurance Underwriting

The use of AI in insurance for automating the manual process of underwriting will save a lot of time of resources and improves productivity. Leveraging the capabilities of AI, ML, and deep learning, intelligent AI insurance app gathers massive data from various resources like external applications, insurers, and customers. Later, this information will be automatically categorized by in-built segregation tools and stored in respective records.

So, such an automated process will aid insurers in analysing claim type, customer risk profile, deciding the insurance eligibility, etc. Hence, AI in insurance underwriting is the best digital solution to save time, automate the underwriting process, and prevent manual errors in data.

4. Artificial intelligence Insurance for Budget Panning

Price is central to customer decision-making for creating new budget-friendly insurance plans. Artificial intelligence in insurance use cases for determining competitor plans and creating customer-friendly plans is gaining popularity.

AI and ML applications in insurance analyse data and insurance offers of rivals and offer new term plans for existing customers. Such friendly insurance offers also help brands to grab the attention of new customers seamlessly.

This is the future of AI in insurance. Not only these, but the impact of AI on the future of insurance will also be far-fetched and move to new heights that you cannot imagine. AI insurance companies will become a leader in the industry, deliver top-notch automated performance over traditional companies, and be a quick responders to people who are interested to claim long-lasting life insurance coverages and many more profitable schemes.

So, ready to become a leading AI insurance company and stand out from the list of companies that follows traditional insurance processes.

Also Read: How Corona virus epidemic effect AI innovation in the insurance industry?

How Can Insurers Prepare For AI-driven Future?

Insurance sector is fueled by the widespread adoption and integration of deep learning, automation, and external data ecosystems. While none of us forecast what insurance industry will look like in the coming decade i.e. 2030, carriers can now take importance like below to prepare for AI-driven future.

Distribution:
The insurance purchasing experience is faster with less involvement of the customers and insurance executives. AI algorithms create risk profiles that provide sufficient information about personal behavior, thus reducing the cycle time to minutes or seconds to complete an auto, life policy or commercial insurance purchase.

Underwriting and Pricing:  
By 2030, manual warranty/ underwriting for personal and small-business products will cease to exist throughout accident, life and property insurance. With a combination of deep learning and machine learning models built into the technical stock a large percentage of the underwriting is automated and supported so the underwriting process is reduced to a few seconds.

Pricing:
Price is central to customer decision making, while carriers innovate to reduce competition entirely on price. Advanced ownership platforms connect insurance companies and customers and provide customers with different aspects of the industry like value, features and experiences.

Price competition Exacerbates and razor-thin margins are the norm in some segments. In other segments, specialized insurance offers allow differentiation and margin expansion. Within the jurisdiction that embraces change, the pace of price innovation will be faster.

Pricing is based on data-rich risk, consumption, dynamic, and empowers people to make decisions about how their actions affect insurance, coverage, and most importantly, pricing.

Claims: 
Claims processing will remain the primary task of carriers in 2030, but the head count partnered with claims will be minimized by 70% to 90% compared to 2018 levels. Advanced AI and ML algorithms increase the efficiency, accuracy, and routing of initial claims.

Claims for small-business insurance and personal lines are increasingly automated, allowing carriers to gain direct processing rates of over 90% and dramatically reducing claim processing time from days to minutes or hours depending on the task.

Also Read: How the Corona virus epidemic effect AI innovation in the insurance industry?

How Can Insurers Prepare For AI-driven Future?

Insurance sector is fuelled by the widespread adoption and integration of deep learning, automation, and external data ecosystems. While none of us forecast what insurance industry will look like in the coming decade i.e. 2030, carriers can now take importance like below to prepare for AI-driven future.

#1 Get Smart On AI-related Trends and Technologies

Although tectonic changes in the industry are tech-focused, addressing them is not at all the job of the IT team. Instead, board members and customer experience teams should invest resources and time to gain an in-depth understanding of technologies like AI and ML.

Also, insurers should understand market dynamics and discover smart solutions to address changing insurance needs. You should create plans that elevate your brand and your services on a global scale.

#2 Develop & Implement A Coherent Strategic Plan

Insurers need to develop a perspective on the areas in which they want to invest in AI to meet the business requirements and beat the competition. For example, AI is best suitable for automating processes, creating new connected infrastructure, or augmenting and modifying internal strategic capabilities.

#3 Create & Implement A Comprehensive Data Strategy

AI technologies work best in processing data and deriving results-driven insights. These insights will assist companies in creating data strategies that optimize the operational flow.

 #4 Create A Good Talent & Technical Infrastructure

The insurance company of the future needs talent with the right mind and skills. The front-line insurance workers of the next decade will be in high demand and must be willing to work in a dynamic mix of creativity, technology, and constantly evolving machine-supported and semi-automated tasks.

AI insurance company needs to integrate the skills, technologies, and insights to provide unique customer interactions, and experiences and generate value from the AI use cases of the future.

Final Thoughts

Well, the future of AI in the insurance industry will be expected to leave tremendous growth opportunities to the service providers. And, future of AI in insurance is expected to draw unbelievable automation across the value chain of insurance processes as we discussed in this article.

AI Insurance Services is ready to disrupt the insurance field like never before for both customers and insurers. Artificial intelligence insurance provides seamless user experiences at affordable rates and erases the complex paperwork insurance processes in the coming years. Yes, we cannot imagine the impact of AI on the future of insurance.

Insurance firms need to save money and time by making their processes more effective and efficient. With AI-based solutions, the possibilities are endless, and only a matter of time before we can see and experience these improvements.

If you are looking for the best AI service provider in India, USM Business Systems in the USA and Europe countries to automate your insurance business.

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How Much Does It Cost To Develop A Car Rental App?

 Car Rental App Development Cost and Features:

In this digital age, on-demand mobile apps (Android/iOS) are gaining momentum across the global nations. Convenience in booking services and reliability in service delivery, service delivery apps such as food delivery apps, car rental apps cab booking apps, and package delivery apps are in traction.

Yes. Service delivery apps are becoming popular across diverse industries and car rental is one of them. Today, through this article, we would like to share a guide on how much it costs to create a car rental app like Ekar. Herein, will walk you through the must-have features of on-demand car rental app development and the factors that impact the mobile application development costs.

Firstly, let’s take a look at the benefits of car rental apps to end-users.

What Is The Purpose Of The Car Rental App?

Renting a car has never been easier, but online car rental booking apps made this possible in minutes. Car rental apps are mobile apps or responsive web apps that help end-users avail of self-drive car services or driver-assisted care rental services on-demand. Offering a range of Cars and allowing users to toggle between fuel options, hassle-free payment options, and door delivery of booked cars, Car rental applications provide quick and affordable rentals to users.

Moreover, pay-per-hour, pay-per-day, and pay-per-month like plans, and car rental apps are offering users convenience in choosing from multiple rental options to meet their desired travel needs. Transparent pricing, free-parking slots finding facility, 24/7 customer support, GPS navigators, location-tracking facility, and flexibility to hire a car with or without fuel are all a few cool features that are creating waves for Car Rental Apps demand worldwide.

Must-Have Features To Add In A Car Rental App Development 

Features of a mobile application are core pillars that decide its success rate. Before commencing the development process, make sure to list the best features that deliver seamless experiences to users and derive great business value over time. Top mobile app development companies conduct thorough research on competitor apps, market opportunities, user preferences, and trends to create the best car rental app with the most useful features and functionalities.

Here are a few must-have features that you must integrate into a car rental app like Ekar development.

Must-have features of a Car Rental App development for users

• Quick registration
• Signup/login in simple steps
• Social media login feature
• User profile
• Multi-language feature
• Tracking available vehicles
• Location pinning
• In-app map integration
• Customized ride options
• Schedule pickups
• Two-way authentication
• Online payments
• Ride history
• Rebook vehicle
• Push notifications
• GPS navigators to track location in real-time and finding nearly parking slots

Features for driver module development of Car Rental Apps like Ekar Clone Development: 

• Signup and registration
• Driver profile management
• Bookings management (Pickup/Cancel/Door delivery of rented vehicle)
• In-app map integrations for tracking destinations
• Route optimization algorithms
• Rides history
• Payment history
• Push notifications

Must-Have Features To Develop Car Rental App Admin Module 

• User Profile Management
• Driver profile management
• Vehicles management
• Orders or bookings management
• Payments management
• Push notifications management
• Rental or ride pricing management
• Reviews and ratings management

The features and functionalities you selected will impact the final cost of a car rental apps. Ekar-like clone pap development needs certain features developed using Artificial Intelligence and IoT like cutting-edge technologies for ensuring remote monitoring, traffic monitoring, and driver behavior analytics, and vehicle performance monitoring etc. Adding such features will increase the development costs of car rental apps but take it to new heights.

Which Technology Stack Is Best for Car Rental App Development? 

The technology stack you select for car rental app development plays a significant role that impacts performance, application scalability, responsiveness, user experiences, security, and overall decides its success rate.   

• Best programming languages for Car Rental App development on Android OS- Kotlin, Java
• Most preferred programming languages for Car Rental App Development for iOS- Swift and Objective C
• Programming languages for Cross-platform Car Rental App development- Flutter, Xamarin, and React Native
• Frameworks used for Mobile App Development– Android for Android app development and iOS SDKs for iPhone app development
• Database: MongoDB
• Push Notifications: Twilio
• Storage: AWS and Google Cloud
• Payments: Third-party Payment Integrations

How Much Does It Cost For Car Rental App Development?

The cost to develop an Ekar-like car rental app development will range between $30,000 to $75,000. However, the development costs of a mobile app will depend on many factors such as features and functionalities, app development platform, and application type (native app development, cross-platform development, or hybrid application development.

Further, the cost of a car rental platform like Ekar will also depend on the tools and technologies used in the development process. Integrating car rental apps with advanced technologies, such as Artificial Intelligence will offer several benefits, such as dynamic pricing, AI chatbots, license recognition, etc. It will increase the development costs of the car rental platform beyond $100,000, but automate the processes, and improve the operational excellence and experiences.

Moreover, mobile app developers’ location and their team size are also significant cost-impacting factors that determine the cost of car rental app development like Ekar. For instance, top mobile app developers in the USA and European nations will charge approximately $100-$150/hr, which is very high compared to the best mobile app development companies in India like budget-friendly markets.

The car rental app development cost will also depend on the post-launch services, including app maintenance and support. If you introduce your MVP into the market, you can save money to an extent, however, you must incur certain costs for updating features as per the user needs.

Are you planning to invest in car rental app development and have an idea?

Let’s discuss and get a free app quote!

 

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A Guide To Custom AI Solutions: How To Use ChatGPT For Sales?

What is ChatGPT?

ChaGPT Chat Generative Pre-trained Transformer) a boom in the technology industry introduced by OpenAI in 2022. It’s a profound innovation of cutting-edge Artificial Intelligence (AI) technology. OpenAI’s Large Language Model (LLM) powered ChatGPT has created waves in the modern tech industry.

ChatGPT is trained with a diverse set of databases which allows the application to generate creative, detailed, structured, and tweaked content responses. Delivering human-like text responses to user prompts, this modern generative AI application is gaining momentum across the industry. Moreover, with its Natural Language Processing capabilities, ChatGPT can better understand and engage customers users through a qualitative conversation.

Generating content as a core application, ChatGPT is also witnessing breakneck growth in various aspects. Using ChatGPT a software development team can write code and test code and a marketing and sales team can create compelling email content and sales campaign content faster. Further, integration of ChatGPT’s APIs into your CRM-like applications could help you instantly respond to customer queries and ensure personalized experience through reliable communication all the time. Hence, companies can achieve customer satisfaction and improve retention rates.

Like these, the applications of ChatGPT or the uses of ChatGPT are incredible. The HR department, development team, operational team, marketing, and sales department can avail the benefits of ChatGPT. Especially, the use of ChatGPT for sales and marketing increasing nowadays to streamline various aspects of the sales processes.

Today, in this article, we would like to give you a little information on how can ChatGPT be useful for sales and what are the benefits of customizing ChatGPT for your sales operations.

 

Top Applications of ChatGPT For Sales

• ChatGPT For Customer Support

The generative AI powered ChatGPT using Natural Language Processing potentialities would help sales and marketing teams to automate responses to customer queries. Hence, integrating a well-trained GPT model into CRM applications will help can automate the process of receiving customer queries and sending accurate responses faster than a human workforce does. IT will improve the customer loyalty and at the same time boost productivity.

• Lead Campaign Content Ideas

Leveraging the innovative advanced ChatGPT platform, sales and marketing professionals can generate content required for digital campaigns. ChatGPT is been trained with vast versatile databases related to market trends that help sales professionals get content ideas and relevant snippets and other marketing materials for boosting their campaign activities.

• ChatGPT Makes Language Translations Easier   

ChatGPT is the most useful asset for translating languages. Using ChatGPT like large language learning model, it will be easy to sales professionals to give prompts in one language and getting responses in required language. Hence it can be used as a language translator and supports multilingual interactions.

• Customer Segregation Content 

Giving necessary customer data input as a prompt to this advanced and AI-powered GenAI-based ChatGPT, sales professionals can segregate customers’ data based on their requirements, order types, order quantity, payment status, etc. It will reduce manual efforts and help in maintaining clear and structured sales data with zero errors.

• For Email Generation

In this digital world, getting noticed by prospects is a key step for ensuring a strong lead pipeline and improving conversions. Giving introductions to the brand’s services and products and doing continuous follow-ups are two mandatory tasks of a sales professional. ChatGPT will play a significant role in email generation in just a matter of seconds.

Providing your requirements such as targeted audience group, email intention, and email type (a service introductory draft or a follow-up), sales professionals can get creative email content. Later, it can be customized as per business requirements. Hence, time-consuming email writeups would be automated and help resources focus more on lead generation and nurturing.

• Data Summarizations     

It is one of the top benefits of ChatGPT in sales. ChatGPT helps the sales team or operations team to better manage sales processes and derive insights from historic sales data. These insights or summarized data would help the sales team to predict the market growth opportunities and create results-driven sales strategies.

• Generate and Nurture Leads

Integrating ChatGPT into your existing sales applications and processes, identification of quality leads, gathering associated customer data, and creating lead generation striation would become seamless. By defining your prospects, ChatGPT assists in picking the best quality leads seamlessly and contributes to optimized ROI.

• Guidance on communication strategies

ChatGPT guides communication strategies to sales representatives. You can also train ChatGPT to automate onboarding processes, pushing automated recommendations to leads based on their previous search history feedback collection and analysis, and many more can be done by customizing ChatGPT APIs and integrating them into your sales applications.

These are a few significant applications of ChatGPT in sales. This powerful Generative AI application helps the sales team generate content that meets their needs. Like these, ChatGPT offers multiple benefits to sales teams.

 

Wrapping Up

Whether conversational AI or generative AI apps will have a bright scope in the years ahead with their smart, intelligent, and automation capabilities. Marketing, sales, development, and almost every department can gain from ChatGPT content generation potentialities and improve their focus on core activities.

USM is the best AI app development company in the USA. Specializing in the design, development, and deployment of trending AI, and ML. NLP, RPA, and other leading-edge technology-based mobile apps, USM is the best partner for all types of software development projects. Based on your AI project requirements and scope, our expert AI consultants provide you with top-notch AI consulting services and AI development services that enable intelligent automation across your business processes.

Are you looking to hire AI developers in the USA?

Let’s connect and discuss your AI project!

 

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Artificial Intelligence in Human Resource Management

The success of a company always depends on two things including a skilled workforce and efficient business strategies. Without a proper vision, you can’t achieve business targets, and of course without a dedicated workforce also a business can’t progress well in the market. Am I right?

 

 

This was the reason why most of the companies both SMEs and organizations, or MNCs are always looking to hire the right talent to meet their objectives or project goals.

In this ever-changing world, human resources (HR) have been facing various challenges in hiring the right candidate to fulfill the skill gap. Now, it is the Artificial intelligence (AI) world. Organizations are implementing AI strategies to manage their HR-related tasks more efficiently than before.

AI experts believe that proper employee engagement is the best way to retain the workforce and thus increase productivity and the revenue of the company by nearly 26%. From the number, we can understand how AI solutions for HR management are important to strengthen the whole team and able to get long-term advantages.

AI technologies in the HR industry have reached a new level and giving unbelievable benefits to the business. Artificial intelligence provides unlimited opportunities to advance HR functions like selecting, recruiting, hiring, reporting, payroll, etc.

The executives of human resources believe that the integration of Artificial Intelligence and HR administration will provide improved candidate experience.

In this blog, we have explained top 5 ways to utilize Artificial Intelligence in HR management.
Let’s Start!

Recommend: How Artificial Intelligence (AI) Will Renovate Traditional Hiring Process?

Role Of AI In Human Resource Management

The role of AI In HR Management is incredible. AI apps are assisting the HR team to handle their tasks more efficiently and improving their performance level ever like before. Here are a few significant applications of AI in Human Resources.

Significant Applications Of Artificial Intelligence (AI) In HR

AI in Human Resources has the tremendous potential to make all your HR functions automate and seamless. The use of AI in Human Resources (AI in the recruitment process) automates the recruitment workflow and saves a lot of time. Here are the possible applications of AI in HR. Let’s see how AI in HR offers miracles for HR management.

How AI Is Transforming HR Management?

How is AI Used in Human Resources?

You might have this question in your mind if you are ahead to hire the best mobile app development company USA, India, UAE for AI-powered HR management solution development.

#1. Talent Acquisition

The impact of Artificial Intelligence on HR practices will be flourishing and it is the best business case for AI in the HR industry. The role of AI in HR management for finding and shortlisting candidate profiles is one of the best possible applications of AI in HR.

HR managers can reduce or eliminate time spent on performing repetitive tasks with the help of AI technology. AI-enabled talent acquisition apps or software can read, scan, select candidate profiles, and eradicate 75% of the burden in the process of manual searching for recruitment.

Furthermore, the role of AI in HR in 2022 also allows recruiters to analyze and evaluate the performance of the candidates deeply. In such situations, HR teams can enhance the quality of the hiring decision tremendously. Hence, the organizations can save a lot of time as well as costs spent on acquiring talent.

Recommend: Top Recruiting and Hiring Trends To Know

#2 Onboarding At The Right Time

If you ask me how is Artificial Intelligence used in Human Resources, then quick onboarding at the right time is my answer.

Onboarding employees that you hired at the right time as scheduled is one of the difficult challenges for the HR people. Because there are N number of situations where the employees you hired and released offer letter will reject to join as you scheduled.

But, the implementation of AI in Human Resources makes systems more efficient and intelligent to streamline the onboard process. AI in HR is widely used for being in connection with the resources digitally and optimizes the onboarding process.

#3 Flexible Personalized Training

The impact of AI in Human Resources is far away from what we are expecting. Driven by the advancements in mobile app development technologies, organizations are beneficial to get more interactive and intelligent applications.

AI technology helps the HR team to analyze the technical capabilities of employees and helps them to update with the current skill gap in the team. AI in HR offers personalized training recommendations to employees and makes them ready to use and get expertise in the technology.

#4 Performance Analysis

With the help of AI tools, it is easy to manage the behavior and analyze the performances of each employee. HR managers utilize AI tools and set strong goals and track the performance of teams and individuals. This would be helpful for HRs for appraisals. The use of AI in Human Resources Management in this type of work results in better productivity and overall results.

#5 Employee Retention

The role of AI in HR Management has a great impact on improving employee retention. Yes, it is very tough to hire a perfect candidate, but it is tougher to keep them in a team for a long period. That’s why nearly 60% of organizations think that employee retention is one of the biggest challenges. But, Artificial intelligence can address employee issues and let them retain for the long run.

Recommend: How Artificial Intelligence Meets HR Requirements?

These are a few important and possible applications of AI in HR. Besides of above-discussed applications, AI is used in so many ways in modernizing the HR functions.

Why Human Resource Still requires People Despite These AI Strengths?

From the above discussions, we come to know that Artificial intelligence is excellent and AI tools can complete all the tasks faster and efficiently than human beings. To automate different tasks of HR, artificial intelligence is the best and valuable technology.

However, human intelligence will also be required to make final decisions to find innovative ways that keep the employees engaged in work. AI tools cannot engage employees as the HR team does. Artificial intelligence is an advanced tool that can give HR team members more time to know their staff needs, the culture of the company and solve the crucial issues.

Overall, we can say that artificial intelligence helps the HR team to make the workplace more efficient and productive.

Conclusion

Finally, AI in HR or Artificial Intelligence in HR is a boom in the market. Since the role of AI in HR Management is going to occupy a complete space in the HR management industry, AI apps development for HR management has a bright scope in the future.

USM, a top #mobile app development company, has approximately 20+ years of experience in offering results-rich AI-based staff augmentation solutions for businesses across diversified verticals. We are specialized in providing RPO services, contingent workforce services, and full-time or permanent staffing services. Believe us, our AI-powered hiring solutions let your HR teamwork more productively.

Are you looking to develop a dedicated HRMS solution to streamline your HR functions?

Get in Touch with USM.

We ensure the best talent and onboard them at the right time.

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The Role of Artificial Intelligence in Healthcare Sector!

The role of Artificial Intelligence (AI) in healthcare offers advanced and precise healthcare services. AI and Machine Learning (ML) technologies offer thrilling opportunities for the healthcare sector. From molecular research and development functions to clinical decisions, everything is performed precisely with AI.

The current scenario of AI in healthcare backed up by ML is smarter enough to identify tumors. Besides, artificial intelligence in healthcare also helps in diagnosing severe diseases efficiently.

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In this article, we compiled a list of the best applications of AI in the healthcare sector.

The Best applications of AI in the healthcare sector

                                               

Applications of AI in healthcare are incredible. The AI technology for the healthcare sector is driving abundant benefits for care service providers. Especially with the use of predictive analytics, AI is transforming the healthcare industry rapidly.

Here are the best benefits of AI in healthcare industry

1. AI For Fast Diagnosis

The benefits of AI in healthcare sector are enormous. , the role of artificial intelligence in healthcare for optimizing disease diagnosis has a high impact on the industry.

AI software solutions, using the potentialities of Machine Learning, and Deep Learning techniques, process vast patient data faster and quickly and accurately make treatment decisions.

Further, predictive analytical features of AI healthcare apps can seamlessly predict diseases faster and help physicians deliver the best care services on time to the patients. Thus, artificial intelligence in healthcare supports practitioners to make quick conclusions and provide the right treatment at the right time.

USM is one of the top AI development companies in the USA. We develop intelligent AI apps for healthcare organizations. Our team of AI experts, with vast proven knowledge of trending concepts of AI, builds fully advanced disease detection software solutions that save lots of time and increase patients care level.

Further, intelligent AI-powered healthcare applications will derive insights into the patient’s health data and offer personalized treatment recommendations to the patients.

AI machines can process vast historic patient data faster for ensuring quick and accurate treatment decisions. AI can predict disease faster than a physician. Thus, artificial intelligence in healthcare supports practitioners for quicker data access for providing the right treatment at the right time.

USM has an innovative AI mobility solution for healthcare service providers. Our care planning AI solution physicians can send treatment recommendations to patients. This solution might be useful for enhancing treatment levels. Get this life-saving AI solution right now!

Let us know our healthcare app requirements and get a free app quote!

2. AI for Drug Development

The drug development use case is the best answer for what is the main role of artificial intelligence in healthcare. Yes, AI in drug development is one of the best use cases of the technology. The use of AI in healthcare in pharmaceuticals plays a significant role in developing advanced drugs to treat complex diseases.

Further, driven by the capabilities of data prediction, AI algorithms in healthcare apps developed for drug discovery and development also predict the toxicity of molecules based on their chemical structure. It is one of the top benefits of using AI in drug development.

Artificial intelligence is widely deploying by pharmaceutical firms for developing new drugs to tackle novel diseases. Companies are using AI for drug research and development functions.

3. AI Automates Admin Tasks

It is one of the best applications of AI in healthcare. AI is the symbol for automation and it is evolving successfully with its intelligent automation capabilities. Automating front-desk operations is one of the major roles of using AI in the healthcare sector.

By automating health insurance services, back-office tasks, patient data management, discharge summary generation, and many more data accessing, storing, and processing activities, AI healthcare solutions are assisting healthcare service providers in terms of streamlined operational processes and enhanced productivity.

Insurance companies are highly investing in AI apps for streamlining internal claiming processes, validating automatically, and disbursing amounts to the insurer on time. Moreover, AI-powered automation applications have the potential to process hundreds of claims simultaneously and accurately validate every word for checking the credit eligibility of each client.

This application is widely used for automating health insurance services. The insurance companies in the healthcare industry are relying on AI for boosting their internal processes. Artificial intelligent systems help them in processing claims automatically with human interference.

AI-powered automation systems analyze hundreds of claims and accurately checks for the credit eligibility of each client.

4. AI Robots For Minimal Invasive Surgeries

Artificial Intelligence and its role in Healthcare has already reached the next level and robotic surgeries are the best examples for this scenario. The robotic surgery includes minimum cuts and slits. Besides, compared to physicians, robots perform surgery with less pain and little incision line. Hence, AI-powered robotic surgeries in healthcare are stress-free and time-saving.

The robotic surgery includes minimum cuts and slits. Besides, compared to physicians, robots perform surgery with less pain and little incision line. Accordingly, telemedicine is also gaining popularity nowadays. Remote surgery using robots and telemedicine with assistants are giving tremendous benefits to care service providers.

Thus, the future of surgery using AI in healthcare is stress-free. Thanks to such advanced AI technology for the healthcare industry.

5. AI for post-discharge services

Few advanced AI apps for healthcare allows doctors to help patients post-discharge. Patients can get detailed data of medication, follow-ups, and physician contact details.

USM has a similar AI app for healthcare service providers. Get your artificial intelligence solution now.

Recommended: AI In Healthcare: The Future of Healthcare Sector Will be Around “AI”

6. Monitoring Post-discharge Patients

Advanced AI apps for healthcare allow doctors to monitor post-discharge patients. Using AI-based electronic health records management system, healthcare service providers can access patient’s health data, monitor detailed medication, schedule follow-ups, and book online appointments with physicians in an emergency.

7. AI Personal Nursing Assistants

It is one of the best applications of AI in healthcare or AI in medicine. As of research, over 50% of patients are comfortable and safe being with virtual nursing assistants. The AI and ML-powered virtual nursing assistants operate with voice and checks patients on time.

8.    AI for Quick Navigation

Nobody knows when a person needs emergency treatment. User-friendly AI-powered mobile apps act as a bridge between hospitals and clients. The best example of AI in healthcare for this application is USM’s AI healthcare app.

This next-gen. AI app for healthcare benefits patients to find the nearest healthcare centers. Accordingly, it also gives data on room availability, fab facilities, and so on. If you are a healthcare service provider, get this AI app for healthcare for providing quick and personalized services to clients.

Other Potential Advantages Of Artificial Intelligence In Healthcare

8. Aware Of Regularity Frameworks

In the recent past, healthcare regulations in the United States are updating to keep up with the evolving digital healthcare market. The U.S. Food and Drug Administration (FDA) has been taking incremental phases to amendment the existing rules and regulations. Recently, it was introduced the “Digital Health Innovation Action Plan” to guide the agency’s role in advancing effective digital health technologies.

Besides, the FDA also focused on a digital health software Pre-Cert Pilot Program. It is enrolling software-as-a-medical-device (SaMD) developers in this project. This pilot project helps the FDA to determine the performance indicators that are needed for per-certifying the product. Using this, the FDA helps developers in identifying new ways of product approval procedures that are seamless.

Accordingly, another regularity framework, “Policy for Device Software Functions and Mobile Medical Applications” was introduced in 2019 for higher-risk software. This new policy comprises various guidance documents that label how the agency plans to regulate software that helps in clinical decision support (CDS). The CDS software identifies a patient’s medical conditions as it uses ML algorithms.

9. Achieving FDA Approval

To comply with the changing FDA approval processes, software developers must consider how to design and roll out their products under the FDA rules. Particularly, developers should focus on achieving FDA approval for the software which comes under the higher risk category.

Here, artificial intelligence-powered diagnostic tools and applications come in place. The developers should be more focus on FDA rules when they develop AI-powered healthcare tools and software. As AI is evolving across all sectors, the healthcare industry is also investing in AI to automate its medical diagnostic processes.

Software Update is a major concern that developers face today. Because, based on the market requirements, the developers will update the existing software products. They will add new features to advance the functionalities using emerging AI and ML technologies. But, when they change the technical description of the software, the FDA approval status for the old version of the software will be at risk.

Similarly, organizations must know the company’s product development plans and approach that they follow to get FDA approvals. This provides investors a clear variation of the company over its competitors in the same industry.

USM Business Systems design and deliver AI-powered compliance safety healthcare solutions and services. We develop healthcare mobility solutions using AI, ML, and other emerging technologies. Our innovative AI-powered healthcare solutions for healthcare highly focused on patient safety, secure payment methods, and real-time communication.

Let’s talk.

Are you ready to design an AI-based healthcare app? So, get your artificial intelligence solution quote for healthcare now!

Talk to our AI experts. They’ll let you know the how to develop a compliance safety healthcare applications. Let’s talk.

#3 Black-Box Nature of AI Is Hampering Its Growth In Clinical Applications

Yes, artificial intelligence is a black-box in its nature. This is one of the major drawbacks of the rapid adoption of AI-based applications in healthcare.

We’ll brief it out. Can all healthcare AI-powered applications track and assess the decision making procedure when a negative outcome happens? Will the set of trained data to the ML algorithms is visible to users? Will the reason for a negative outcome is identified by the technology itself?

The developers should focus on all the above points while designing an AI-powered software for healthcare. Because, if your software is posing more negative outcomes, then the application will be banned in the market and the efforts you put on design, development, and getting approvals will be wasted in minutes.

Accordingly, AI-systems need more data to perform the tasks that they assigned to do. But, if you feed the AI systems with wrong data, it will provide incorrect conclusions such as misdiagnosis and improper treatment recommendations. Error Detection algorithms help you out in this scenario. Thanks to technology developments.

Currently, many healthcare service providers are using artificial intelligent-based medical diagnostic devices to provide better services and optimize patient diagnosis process. For instance, FDA approved AI-powered imaging diagnostic software/tools are helping clinicians in diagnosing and treating various health conditions such as cardiovascular disorders, diabetic conditions, and cancer.

However, the adoption of these AI tools is sluggish in the market. There is a need to publish the AI’s benefits in healthcare. More awareness of artificial intelligence in healthcare to witness industry adoption and get the credibility of AI technology.

The Future Of AI In Healthcare

 

Implementation of AI in healthcare was at the pre-mature stage. Without significant investments, AI adoption in healthcare is slow and difficult. The market researchers are estimating that the clinical health AI applications will save $150 billion per annum for the United States economy by 2025.

Artificial intelligence in healthcare is used for multipurpose. AI can sense machines, learn, and perform both clinical and administrative tasks. Hence, health AI will augment every task done by humans intelligently and automatically. The graph below depicts the most promising healthcare applications of AI that are attracting more investments.

According to the market research reports, the market value of AI in healthcare is at nearly $12 billion in 2021 and is expected to reach approximately $ 187 billion by 2030. Implementation of AI in healthcare was at the pre-mature stage. Significant investments in AI has to be done for its complete rollout.

Driven by its incredible benefits of Artificial intelligence investments in healthcare are anticipated to increase in next coming years. The automatic and intelligent capabilities of AI will augment healthcare processes and ensure high productivity.

Recommended: AI In Healthcare: The Future of Healthcare Sector Will be Around “AI”

 

On the global artificial intelligence healthcare market front, the investments are stunning and are increasing every year. Both the public and private sectors are heavily investing in health AI. Every healthcare company is in plans of implementing AI strategies to become competitive in the market.

From clinical diagnosis and treatment to robotic surgery and drug development, AI plays an essential role in healthcare. The healthcare AI will completely change the structure of the existing healthcare market in the next decade.

Yes, the complete roll-out of AI will take years, but AI technology, ML, and predictive analytics together bring an advanced healthcare solution that was never before available. According to researchers, AI is widely used for automating admin and operational tasks in the near term future.

Are you ready to automate your healthcare services?

Connect with USM, a leading AI App Development Company.

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List of Mobile App Development Companies in USA, San Francisco, California

Top 25 Mobile App Development Companies in the USA

Smart Phones have tremendously changed the way people used technology as the ever-growing digital world has offered numerous possibilities. It the fact that the world is at our fingertips now!

The mobile application plays a significant role in the competitive business environment. From increasing sales of services or products to marketing mobile apps have become vital for the growth and development of businesses. Nowadays, almost every company/business, start-up, or well established are focusing on developing an eye-catchy and user-friendly mobile application.

In this competitive digital world, it is very challenging for business owners to find the top mobile application developer in the USA that creates a mobile app with advanced features. So, to make you free from doing research, we have performed an in-depth study on the best mobile apps on developers in the USA and listed out all in this blog post.

Hey Check-Out The Free Resource for You:

To find the Top 25 Mobile App Development Companies In USA, San Francisco, California

#1 USM Business Systems

USM Business Systems is one of the esteemed mobile application development companies in the USA. With proven technologies and methods, the team of mobile app developers at USM will create mobile applications that are creative and result-driven. Since 1999, the company has been providing robust, cost-effective, and customer-oriented apps to businesses, enterprises, and startups across the USA, Europe, Asia, and Australia.

Service Lines: Application development, Automation services & Solutions, Cloud Migration, HR management, and Workforce services
Clients: Leidos, Fannie Mae, Bank of America, HBO, Span On, CGI, Foreside, Lockheed Martin, Aamva, Walmart, University of Pittsburg, and many more.

If you want to create the best mobile application for your business, please reach them.

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#2 WillowTree

WillowTree is one of the best and largest mobile app development firms with expertise in Web Development, OTT Development, Custom App Development, Digital Product Design, and Digital Product Strategy. The agency got associated with the client at each step of the mobile app development process to deliver top-notch and feature-rich results. The former clients are Century Fox, PepsiCo, ABInBev, Synchrony Financial, Wyndham Hotels & Resorts, Alliant Credit Union, National Geographic, and Regal Cinemas.

#3 RipenApps

RipenApps has a good reputation for providing the best and unique mobile applications to clients in a wide range of industries. The organization has a team of professionals that are experienced and highly skilled in developing mobile applications.

Apart from Mobile App Development, the firm has been delivering services in iPhone Development, Android Development, iOS Development, Hybrid App, Development, Web Development, Cross-Platform Development, Objective C Development, Healthcare Segment Application Development, Beacon based Mobile Applications, etc.

#4 Rightpoint

Rightpoint is an award-winning mobile application development firm located in the USA. They have a dedicated team to build mobile apps that not only providing superior quality but also satisfaction and support to their clients.
Along with mobile app development, the company’s specialties include IT consulting, Microsoft technologies, digital transformation, systems integration, CRM, salesforce.com, etc.

#5 Blue Label Labs

Blue Label Labs is one of the renowned mobile applications development agencies in the USA, founded in 2011. The firm delivers a wide range of app development services, including mobile app design, android app design, ios app design, TV app design, mobile app development, on-demand service apps, AR/VR app design, and health care apps.
They have been partnered with various small and middle-level enterprises, namely PayPal, Fender, Bloomberg News, HowUdish, iHeart Media, El Dorado Airport App, Major League Baseball Player’s Association, Hello Sitter, Magic Money, Muncheez, and so on.

#6 TechAhead

TechAhead is well known for its excellent services for enterprise apps. Their team of professionals helps their clients’ businesses on priority through great collaboration, modern and user-friendly design for mobile apps, and web apps.
The company is recognized as the top 10 mobile application developments companies in the USA for offering services like android Application Development, iPad and iPhone Application Development, UI/UX Design, iOS Application Development, Open Source ( LAMP) Development, etc. since 2009.

#7 VironIT 

Viron IT is one of the top mobile application development firms in the USA. Since its establishment in 2004, it has worked for over 600 projects and delivered app design and development services to various startups, digital agencies, enterprise clients, and high-tech companies. The organization has proven track record for the most critical and complex mobile app developments with utmost quality.

#8 Appinventiv 

Appinventiv was founded in 2014 and is a pioneer for mobile application development services. The professional app developers at Appinventiv will bridge the gap between imagination and reality through their creative and innovative services. As per Clutch, the firm is ranked among the top 24 mobile application development companies worldwide,
Their services included Mobile App Development, iPhone App Development, Android App development, ibeacon app development, iOS Development, Apple TV app development, React Native Application Development, Flutter Application Development, and many more.

#9 Five

Five is the most innovative and hybrid mobile applications development agency, which was founded in 2008. The developers at ‘Five’ work on the latest technologies and methodologies to create mobile apps that help boost clients businesses. The firm has collaborated with various companies including Rosetta Stone, Marriott International, Napster, Consumer Affairs, Gennett, USA Today, Penguin Random House, Choice Hotels, etc.

#10 Zco

Zco Corporation is one of the largest and most trusted mobile application development companies in the world. Since 1989, the company is creating attractive and resilient apps to its clients through the most reliable methods.

Zco has a team with experts in offering services including, Custom Mobile Application Development, Mobile Game Development, Enterprise Software Solutions, Hybrid Mobile App Development, Enterprise Mobility, Android, iPhone, iPad, Blackberry, and Windows Phone. It has partnered with many satisfied clients, namely Verizon, Microsoft, John Hancock, Liberty Mutual, Utz Quality Foods, BBC America, etc.

#11 Konstant Infosolutions

Konstant Infosolutions is a largest and world-recognized mobile app development company in USA and was founded in 2003.
With a team of skilled developers, the firm has vast experience in delivering various services including Mobile Web Design, Custom Web Application Development, Android App Development, PHP/.Net Development, OpenSource Application Development, WordPress Design & Development, Magento Ecommerce Solutions, iPhone/iPad Applications, etc.

They partnered with various famous clients, namely, Volkswagen, Project Action Star, Thomasville, RawBank, Stanley, Citrix, NASSCOM, Scholastic, United Nations, Nestle, and others.

#12 ItCraft 

Itcraft is the best software development company, delivering a wide range of mobile solutions across the USA since 2010. The company has highly talented developers to design and develop an application following a modern and creative approach to reach business owners expectations. Their core services include mobile apps development (Android, iOS), web applications and portal solutions, custom software, dedicated mobile applications, and designing IT systems.

# 13 Cheesecake Labs 

Delivering services since 2013, Cheesecake Labs is often considered as the best mobile application development firm. The company will give you a chance to do your projects into reality in the most reasonable cost. Their specialities include mobile application development, web application development, software consultancy, Ui/UX designating, and Software Consultancy.

The firm worked for several amazing companies such as Lockitron, Singularity University, Camio, Getable, Triple Point, Fishbit, OneAvenue.TV, etc.

#14 MindSea

Mindsea is a premier mobile app development agency in the USA that is leading by veteran developers who thinks out of the box and develops innovative and creative mobile applications for a wide range of industries.
The firm specialization is providing services like Mobile Apps, Mobile Software design, Android Development, iOS development, User experience design, Mobile Software, Mobile Marketing, and Mobile Advertising.

# 15 Reinvently

Reinvently is one of the best service providers in the USA for the development of mobile applications and web applications. Since 2010, the firm has been developing hybrid mobile apps on Android, iPhone, iPad, and Windows.
They collaborated with various startup and large entrepreneurs for delivers various services including mobile app development, UI/UX design, Mobile strategy, Business consulting, Machine Learning, Augmented Reality, Artificial Intelligence, Internet of Things, and many more.

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#16 Fueled

Fueled is an award-winning mobile apps development company in the USA that has the calibre to transform clients business through emerging technologies and creative designs. With their decade of experience and professionalism, Fueled worked for numerous critical projects like Verizon, Warby Parker, QuizUp, 9GAG, Rite Aid, Crunchbase, Richr, Mysteryvibe, Afterlight, Dayo, Pollen, Trace, Barneys New York, and many more.

# 17 Blue Whale Apps

Blue Whale Apps is a top-rated mobile application development firm, located in the USA. Founded in 2006, the agency has been working with a team of highly skilled developers who have a passion for creating mobile apps for wide industries.

Apart from the mobile apps development, iPad app development, and iPhone app development, the company offers services in API Integration, App Testing Services, Hybrid Mobile App Development, and Conversion Rate Optimization.

# 18 ISBX

ISBX is an industry-recognized and award-winning agency that is focused on developing user-friendly mobile applications. Since its establishment in 2009, offering services to small and large entrepreneurs in web development, digital marketing, and SEO (Search Engine Optimization).

The firm has partnered with various companies like Loreal Paris, Apple, Science 37, WB, Lexus, DirectDerm, Arthritis Foundation, Red Bull, Pasco, The Queen Mary, Brain Coro, and so on.

#19 Dogtown Media

Dogtown Media since its establishment has been committed to delivering services in mobile app development, iPhone app development, iPad app development, mobile app design, android app developer, product strategy, Internet of Things, Artificial Intelligence, mobile app marketing, etc. A firm is a group of developers who have incredible talent in mobile app development and designing.

They worked for several projects that include Udemy, Google Train Up, Cone Health, Sleep Life, United Nations, Aspire, Minneapolis Heart Institute, Worldwide Breast Cancer, etc.

#20 CodigoDelSur

CodigoDelSur is the place where you can discover the most valuable mobile application developers in the USA that have transformed the client’s businesses by providing them with outstanding applications. This agency has achieved great heights from the establishment in 2007 in the USA.

They partnered with the various pioneer clients namely, AVON, Subway, Kindara, Office Depot, Weev, Sharalike, USG, Logo Works, Antel, Bizzness Apps, Youplus, BHA, Pubnub, Zoom, Iongrid, Leapgo, Hotelli Corporate, and many more.

#21 Zealous System

Zealous System holds a good reputation with its best in class services in mobile app development. They are experts in creating apps for Android, iOS and Hybrid application development services. Their other specialities include Augmented Reality, Angular JS, Node JS, ASP.Net Core, React JS, Vue JS, ChatBot, IoT, Java, MVC.Net, PHP, WordPress, Shopify, Drupal, and Joomla.

The company has created several applications like AR Sports Finder, Digital Wallet App, Energytrac App, Fitness Tracking App, All-in-All Social Media App, Sonic Tonic App, A Supply Chain Tracking App, etc.

# 22 Dom & Tom

Dom & Tom is an esteemed digital product agency that has specialized in creating mobile apps for a wide range of industries. Since its establishment in 2009, the firm is offering customized mobile solutions from startup companies to large companies with the best quality and affordable prices.
Some of their services include Mobile App Development, Mobile App Design, Web App Development, iOS development, Augmented Reality, Enterprise Mobility, Android development, and Blockchain.

# 23 Cubix

Cubix is well known for its excellence and perfection in mobile application design and development. It was established in 2008 and became a full-cycle, mobile-first development firm with the highest clients’ satisfaction in the industry.

The company has expert developers to offer services like Mobile Application Development, Web Application Development, Custom Software, Mobile Game Development, Android Applications, iOS Applications, and Content Management System.

# 24 Crux Labs

Since 2010, Crux Lab has been designing, developing and delivering mobile and web apps that increase the business capability, creates good brand, and beats competitions from the business competitors. They have a team of professionals who have a passion for developing ultimate mobile applications within budget.
The company has collaborated with various firms, including Nauto, Podo, Uniwell, Wagner Meters, Cricket Health, Falke, Hooke, Image Metrics, and so on.

#25 Hyperlink InfoSystem

Hyperlink Infosystem is a certified company, which has been providing services to its clients across the USA, Japan, UK, and Canada since 2011. They have a dedicated team to build mobile apps that not only providing superior quality but also satisfaction and support to their clients. The company design and develop mobile apps with a fantastic user experience that will make the users go crazy about it.

They got expertise in delivering several kinds of services such as Mobile App Development, Android app development, Windows app development, iPhone app development, Blockchain Development, Ecommerce, Wearable App Development, Flutter app development, Website development, etc.

Conclusion

I hope the above-written information regarding the Top 25 Mobile App Development Companies In USA will be useful for you in finding the top-rated app developers.

If you know the top-rated mobile application developers in the United States other than above 25, please mention in the comment box.

Are you dreaming of a unique and user-interactive best mobile app development company in usa for your business project?
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AI Technology Is Redefining the Manufacturing Sector

Best Ways AI Is Improving Manufacturing In 2024

Artificial Intelligence technology has the power to automate and revolutionizing the entire manufacturing ecosystem. From automating routine tasks, prototype designs and development, robot deployment and maintenance, and supply chain automation to facility remote monitoring, everything can be automated seamlessly by implementing AI in manufacturing.

To be competitive with other manufacturing companies, organizations need to accelerate with AI transformation and speed up smart manufacturing operations. While it may sound intimidating, Artificial Intelligence in manufacturing is also exciting, and it doesn’t go away.

The below figure depicts the market growth of AI technology in manufacturing industry for a period of 2015 to 2025.

Source: Markets and Markets

Top AI Applications In Manufacturing Industry
How AI transforms manufacturing?

Let’s continue reading to know where AI is being applied in the manufacturing sector and how AI works in manufacturing. All the below AI use cases in manufacturing will ensure the best business outcomes to the companies. Let’s take a look at How AI technology redefining the manufacturing industry?

1.AI Virtual Assistants Bots

It is one of the best use cases of AI in manufacturing industry. AI virtual assistants better communicates with workforce, solve queries, perform assigned tasks, and offer personalized recommendations, etc. Using Natural Language Processing capabilities, AI manufacturing applications deliver human-like responses and executes every task faster, efficient with 100% accuracy.

2. Predictive Maintenance and Analytics

The best answer is predictive maintenance. Yes. Adoption of AI technology in manufacturing industry will assist manufacturers in monitor and analyze the device performance and predict the need of overhaul or maintenance services. Such automated process will prevent the equipment breakdowns and ensure efficient productivity. It is one of the top benefits of AI in manufacturing industry.

Using Artificial intelligence in manufacturing industry, Manufacturers can tracks operational efficacy and derives accurate predictions into maintenance.

Hence, Artificial Intelligence solutions processes device data, learns from experiences, identifies patterns, and finds out the possibilities of damages before the product hauls. This kind of AI applications in manufacturing industry will improve productivity and ensures lower maintenance costs.

3.Process Automation 

Many routine tasks in a manufacturing plant will be automated with the trending AI. Intelligent AI applications in manufacturing industry will automate approximately 75% of routine tasks done by admins, managers, and operational department workforce.

From data entry, reports generation, employee monitoring, sales entries, order management, warehouse management, and inventory management to logistics and distribution operations data can be automated and virtually accessed through a centralized cloud platform. Hence, the importance of AI technology in manufacturing industry is paramount.

4. Facial Recognition Apps

Facial recognition is one of the core technology of AI. The use of AI in manufacturing industry for ensuring high-level security standards inside the production premises is on demand. In the manufacturing industry, AI applications with facial recognition capabilities can be used for quality and security purposes.

5. Fraud Detection

AI in manufacturing industry will be used for detecting fraudulent actions in the production, warehouse, and point of sales operations. Manufacturers can monitor identical anomalies to flag customer orders outside of normal patterns. The use of AI technology in manufacturing industry will also greatly helpful for organizations in monitoring the facilities and find irregular activities remotely.

These are the most popular and well-defined applications of AI in manufacturing. The future of artificial intelligence in manufacturing industries has bright scope and lets manufacturers grab the digital opportunities.

 

Also Recommended to Read: Use Cases of AI in Manufacturing

The Present State of AI Technology

Many industry scholars agree that AI has a big impact on all businesses, especially the manufacturing sector. IT service management company, Gartner said that by 2020, the number of users of advanced analytics platforms would be differentiated by increased data discovery capabilities, which will double the rate and double the business value”.

AI is embedded in several technologies, from networked supply chains using predictive analytics to ERP solutions with built-in-BI capabilities.

In a thought to give you a clear idea, here we are taking a reputed manufacturing company as an example, which has introduced AI to redefine manufacturing analytics.

Sight Machine Launched AI to Redefine Manufacturing Analytics

Sight Machine, a manufacturing Analytics Company, located in San Francisco, aims to disrupt the manufacturing industry by offering an Artificial intelligence-based manufacturing analytics platform that collects, improves and inspects information to acquire actionable insights and real-time visibility.

The company’s Factory TX platform provides manufacturers with the adaptability to obtain the data of machine from the cloud and production facilities. Their tool allows for quick deployment and centralized management of multiple industrial facility IoT data intake. Insights are generated in real-time and integrate device data, process quality data, and product data with installed Enterprise Resource Planning data and handled to produce important insights using Machine Learning and AI.

Benefits of Using AI in Sight Machine

The main advantage of AI in manufacturing is that it makes digital twin resources as well as procedures. Using AI, the plant management will track man, machine, material, and also process that drives ceaseless process development.

In addition, this platform helps in combining data from several manufacturers, historians, Enterprise Resource Planning, and other machines. Moreover, this platform helps improve quality, reduce time, increase the utilization of capacity, reduce scrap, measures and improves OEE and productivity, etc.
Artificial Intelligence will also play an important role in helping humans do their jobs. AI is just a tool, but not a replacement, for improving business insight and decision-making.

Impact Of AI In Manufacturing Industry

The term AI enables workers to visualize the future, where machines run themselves and robots are gradually welded and bolted to parts without human attention. As a large number of smart manufacturing companies grows, humans are still playing an important role in operations, and this is likely to continue for decades.

These false assumptions can lead to improvements and advanced applications. Employees may assume that AI technology coverts to reductions in the count of human jobs. Engineers, data scientists, and other technicians may mistakenly assume that the profession in manufacturing is short-lived and will soon be replaced by technology. Such fears could prevent the next generation of skilled professionals from even considering employment in the manufacturing industry.

Recommended to Read: The Revolution of AI Technology

The lack of skilled professionals in manufacturing is one of the main concerns of industry; About 426,000 Manufacturing jobs in the USA are not filled because there are not enough skilled applicants to obtain those. Yet, 80% of companies lack the workforce needed to implement AI projects.

Therefore, a mystery is created. As skilled workers are in a dilemma that AI technology will eliminate jobs, they might not applied for vacant positions. But the lack of skilled employees makes it tough to implement those sophisticated technologies.

There is a high demand for employees who are skilled in AI technology, but hiring candidates is not so simple.  Hence, A few manufacturers are giving training to them to develop internal AI expertise. One of the practical ways to gain experience is turning to software providers and third-party resources.

Final Words

Leveraging new and trending technologies and updating processes like AI technology and Machine Learning are keys to remaining competitive and relevant in the manufacturing industry. Artificial Intelligence is one of the most effective and powerful platform that manufacturers can adopt. As Manufacturing firms need to focus on the future with utmost confidence, they will make active decisions.

If you are also planning to take advantage of Artificial Intelligence for your manufacturing company, contact us.
Our USM AI Professionals will provide you complete information.

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How Much Does It Cost To Develop Tinder Dating App? 

A Guide To Dating App Development

According to Statista, in 2022, approximately 366 million people have used online dating apps globally. By 2027, it is estimated the count is expected to reach 440 million people globally. The below figure represents the ups and downs in the mobile dating app segment worldwide.

Dating Services Revenue Worldwide From 2017 to 2027

The above figure reflects the continuous growth in global online dating services. It is predicted to generate nearly USD 3.41 billion in revenues by 2027 from USD 2.86 billion in 2022.

In particular, the USA is one of the markets for the rapid growth of online dating services. The use of online dating apps in the USA is increasing and approximately over 50 million Americans have installed mobile dating apps for their desired needs in 2022. The number of users is expected to amount to 64.54 million users by 2027.

Now, let’s see the most popular online dating mobile apps in the world. The app ranking has been given based on the number of downloads.

Most Downloaded Dating Apps Worldwide 2022

According to Statista, in 2022, with over 70 million app downloads, the Tinder dating platform was the most downloaded mobile dating application worldwide. Litmatch has replaced Bumble’s second position in 2022 by reporting nearly 58 million downloads, an increase of over 31 million mobile dating users located globally wide.

On the USA market front, with over 957 thousand monthly downloads, Tinder is ruling the USA’s online dating services industry and ranked as the number #1 dating app in the USA in 2022. Followed by Bumble with 786 thousand downloads per month, stood as the second largest mobile dating app in the USA.

Hence, be it on a global scale or domestic online dating services segment, Tinder mobile app is a trending app. It is the best right time for Tinder-like a popular dating mobile app development and grab the market opportunities.

If you have plans to develop Tinder-like similar dating apps but are in a dilemma about how to create a dating app like it, here’s a guide that helps you out. Herein, we have given brief and required information on dating app development features, technology stack, and an estimated software development cost.

Let’s start our session with a brief overview of Tinder history.

Who Is Tinder?

Tinder is the world’s most popular free dating app owned by Match Group. In September 2012, the Tinder dating application was introduced in the App Store for iPhone users. Later, on July 15th 2013, it was deployed in the Google Play Store for Android users. Now, the Tinder dating app is available in over 190 countries and become the most popular free social app in the world.

This popular dating and social networking app in the USA with a simple concept of swipe right or swipe left offering a simple way to find and meet their exact matches online. Tinder-like one of the best dating apps in the USA, is now a best buddy for millions of people looking out for a new relationship.

By creating a simple profile, people can easily find potential matches as per their needs & interests and start a conversation over a secure online dating platform. On mutual understanding then can also meet directly and date of their choice.

Currently, with approximately 60 billion successful matches to date, Tinder has occupied the topmost space in the USA’s online dating industry.   

How Does Tinder App Work?

To offer a convenient and comfortable app experience to users, Tinder offers the simplest way to find, connect, chat, meet, and date new people. Its user-friendly and seamless performance makes Tinder stand apart from other dating apps.

• Download and Install Tinder App
• Register and profile creation with adding preferences and interests
• Star exploring other profiles
• Real-time location mapping to find nearby profiles
• Swipe right on a photo to like a profile
• On mutually liking each other, people can connect and chat
• Swipe left on a photo to ignore or reject a profile
• Instant chat facility
• In-app Audio/Video calling facility to match
• Hence, the Tinder platform offers an easier and faster to meet or date people

The Most Important Features That You Should Add To A Dating App Like Tinder

#1. Simple Sign-in

The long app registration procedure does not work at all in this advanced mobile app world. Simple and faster sign-up and login procedures offer a faster and easier login process and improve user experiences. So, social media integrations are a must for the latest mobile app development.

Hence, allow users to access the dating mobile application with their existing social accounts like Facebook, Google, and LinkedIn etc.

#2. Profile Creation

User Profile is another significant feature that must be integrated into dating mobile apps like Tinder. An appealing profile with an attractive photo is a must to continue with a dating mobile app and will improve the profile’s reliability and chances of finding many matches.

This feature allows users to add their interests, preferences, needs, gender details, and so many others to find a match they are looking out to make a relationship.

#3. AI Feature for Matching

This advanced feature adds value to dating mobile app development (Android/iOS). Integration of Artificial Intelligence (AI) and Machine Learning enabled features will help users to find a pool of profiles that match their interests, desires, and age.

Hence, based on age and interests, the AI-based profile matching algorithm in Tinder-like dating app helps people find and connect their soulmates with ease.

#4. Swipe Feature

Here is one of the essential features of online dating apps like Tinder. Swipe Right or Swipe left model allows users to easily select people to connect and chat. It makes the profile selection process easier and improves the user experiences.

#5. GPS Tracking

This feature helps in detecting the real-time location of the users. Hence, users can find the nearby connections and make their meeting or dating seamless. Further, this feature also helps users in pinning the specific location where they are looking for new friends or people to date.

#6. Instant Chat

In-app chat feature is an essential feature in dating app development for Android or iOS. On liking each other, the app facilitates instant chatting for better communication and making matches more collaborative.

#7. Audio/Video Calling

It is an advanced feature that you must add to online dating application development like Tinder. With this feature, people can easily make audio or video calls right from the applications and communicate with their connections.

These are a few important features that you must integrate during online dating mobile app development. Tinder-like a top dating app in the USA, is generating a profitable business and has built a vast community with people of all ages.

What Technology Stack Used For The Best Dating App Like Tinder? 

Using the best technology stack is significant in the mobile app development process to ensure robust performance. Yes, for ensuring the applications’ flexibility and readability, the programming languages, UI frameworks, testing tools, and debuggers will all play a key role. The global largest dating application Tinder uses a simple tech stack. Here it is:

• Android and iOS mobile app development programming languages: Swift, Objective C, Java, Ruby/Cucumber and Rubymotion
• Database: MongoDB
• Cloud Storage: Amazon S3
• Twilio for sending push notifications
• Google Maps for location tracking in real-time
• Optimizely for dumping testing tools and making multi-variate testing, and multi-page testing
• UI frameworks: Node.js and React Router
• Google Map and Map Kit for integrating in-app location tracking features
• Payment Gateways: PayPal and BrainTree

It’s a basic technology stack used for developing dating apps like Tinder and Bumble. Based on the business objectives and application requirements, top mobile app development companies in the USA will choose the right technologies, UI frameworks, and tools.

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How Much Does It Cost To Develop A Tinder-like Dating App or Bumble App?

Further, the actual cost of Tinder-like dating mobile application development will also depends on the hourly price of custom software development companies in the USA.

Hence, we can calculate the final cost of an online dating mobile app by multiplying the number of app development hours with the hourly cost of mobile app development companies in the USA. Considering all these factors, the cost of a dating app might reach to $100,000 and beyond.

We at USM Business Systems, a top custom mobile app development agency in the USA, offers best-in-class dating apps with the advanced AI features and functionalities at affordable price.

Wrapping Up!

Online dating platforms or dating mobile apps like Tinder, Badoo, and Bumble are popularizing in the USA like developed nations. So, if you invest in Tinder clone app development that would be a future-specified decision to turn your business scope in the ever-competitive USA market.

Hire the best mobile application development company like USM, let us know your app requirements, and we create the best dating app that keep your brand the new heights.

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