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

Mamahood is the stage where all moms roam around their kids and are always in thought of giving the best to their loved ones or newborns. Especially, new moms love to surf across many mobile apps like Mamaearth to shop for a range of baby care essentials.

Edamama is also one such kind which has been propelling its significance in its industry in the recent past. Offering a broad range of high-quality baby care products from leading brands in coupled intuitive and simple app design, making E-da-mama a go-to-app for finding and conveniently shopping Mama & Kids care products.

Building Edamama-like it’s a great opportunity for e-commerce companies to create brand value and generate lucrative online business. If you are an aspirant to build an app like E-da-mama, this article will be a guide and give you information about must-have features of E-da-mama -like mobile app development (Android & iOS) and the cost to build an app like E-da-mama.

Additionally, herein, we focused on providing information related to what technologies and tools will be used in the development process and what factors will impact the cost of app development like Edamama. Further, we have also discussed here how Edamama clone app development contributes to your online business growth in this competitive digital era.

Here we go!

All About Edamama Mobile App

Edamama is one the largest Online Mama & Kids Shopping platforms which has reported nearly one million app downloads. Comprising a list of over 1,700 trusted brands, the app is fulfilling the needs of newborn babies, to-be-moms, kids, and also household essentials. Ultimate user convenience, secure payments, reliable deliveries, purchases & order tracking facility are all a few significant drivers for its success in the e-commerce industry. 

Must-Have Features Of eCommerce App Development like Edamama 

Whether you invest in Android App Development or iOS App Development, the features you add will decide the overall user satisfaction and success rate of your application. Here are a few top features of online shopping apps like Edamama.

• Quick Sign-In and Hassle-free Login 

It is the most common and the most focused feature of Edamama like E-commerce app development for Android and iOS. A quick sign-in and an easy login module will derive the maximum user attention rate.

Moreover, enabling a social login facility will help end users access the application using their social IDs and get instant access to the features. It is a time-saving process and also improves user experiences when they try to log in the application.

• Easy-to-navigate Landing page

The landing page plays the second most vital part in better engaging the app users once they land on the home page. E-commerce mobile app development companies need to pay much attention to designing and developing easy-to-use and easy-to-understand app interfaces. It will enhance the entire buyers’ journey, thereby improving users’ engagement.

• Customized Search Feature 

Here is another significant feature that would help app developers or owners take the app experiences to whole new heights. Integration of a customized search feature will allow your users to search for products they need seamlessly. Setting up their preferences using filters, such as product categories, brands, price, and ratings etc, the Search feature enhances the users’ online shopping experiences,

Moreover, Voice-enabled search feature has become a trend since the evolution of Artificial Intelligence (AI) and Speech Recognition like next-generation technologies. If you are looking to make an app like Edamama, make sure to integrate the voice-search feature for quick app accessibility and navigation.

Hire top AI development companies and develop advanced Ecommerce app that beat the digital competition!

• Quick Check-out Process

Swiftness and high-level security to the users’ data matter a lot in eCommerce applications. If you looking ahead to develop the best Ecommerce app like Edamama, Check-out is one of the mandatory features that should not ignore. This feature offers a hassle-free checkout process and gives users a clear view of their purchases, bill summary, discounts & coupons if any, etc. Hence, users can confirm their orders and trustfully proceed to payments.

• Multiple Payment Options

Multiple payment options, such as credit card /debit card payments, UPI/BHIM payments, and wallet payments or Cash-on-delivery will all help users pay their purchases in their convenient mode. Hence, enabling secure multiple payment flexibility will ensure fewer abandoned carts, brand loyalty, higher sales conversion rates, and overall help in achieving increased customer loyalty.

• Order Tracking Feature

Maintaining high-level visibility in order processing is a significant factor for Ecommerce players to improve brand reliability. This feature helps users in tracking their orders, from the time of order placement to door deliveries. Hence, this feature helps businesses better engage users and can also improve the application opening rate.

• Push Notifications

Notifying the app users about order confirmations, payments, updates on delivery status, deals & discounts, and new product arrivals will keep them informed.

• Users Behavior Tracking Tools

Improved personalization is a central part of the success of E-Commerce apps in their niche. To create an app like Edamama, the use of advanced user behavior-tracking tools benefits companies in many ways.

Leveraging AI and ML-like advanced techniques, top mobile app developers help brands analyze users’ search behavior and monitor their purchasing history. Ecommerce companies can make insightful decisions into user’s purchasing and search behavior and offer personalized content recommendations, thereby sales will be optimized.

• In-app Customer Support Chatbot Feature

Ecommerce mobile apps are the best platforms for brands to better engage their targeted audience and improve online business operations, specifically with their convenient and interactive functionalities. To build an app like Edamama, it is essential to integrate AI-enabled customer support features. In-app AI-powered customer support chatbot will play a significant role in providing instant virtual assistant to online customers and improving user experiences.

• Order History and Repeat Orders

It is one of the best user-friendly features that allows app users to monitor previous purchases. Further, adding the Order Repeat feature will take the user-friendliness of your application to the next level. It is a time-saving process and helps users to repeat their favorite orders with simple clicks. To build an app similar to Edamama integration, mobile app development companies must add these functionalities.

• Social Media Sharing

Product promotion is one of the key pillars for extending your product’s reach to your audience. Integration of this feature allows your app users to share the products on their social accounts or online communication apps like WhatsApp. It will increase the brand reach and sales conversions. 

How Much Does It Cost To Develop An App Like Edamama? 

The estimated cost of Edamama-like online shopping app development will range from $45,000 to $150,000+. However, the development cost of an ecommerce app like Edamama has various factors as discussed in the below session.   

Factors That Impact On Edamama-like Ecommerce App Development

Edamama-like mobile app development cost will depend on the features and functionalities, design complexity, location of top eCommerce app developers you hire, and the hourly charges of the mobile app development agency.

For instance, Native android app developers or iOS app developers in the USA may charge $95-$170 per hour, while software developers in India like economic-friendly countries may charge $30-$50 per hour. These are a few major factors that impact the Edamama app development cost.

Further, the overall cost to develop an Edamama-like app will also depend on App size, UI/UI design complexity, team size of the mobile app development company, and application development platform (Android/iOS). Moreover, Edamama-like ecommerce app development costs will also depend on post-launch services, including maintenance and support services.

Wrapping Up!

Ecommerce app development like Edamama is an open space for startups, mid-level companies, and multinational brands to realize rapid returns on their investments. USM Business Systems is one of the top eCommerce app development companies in the USA. With a team of highly skilled software development professionals with best practices of Edamama-like online shopping apps, USM builds and delivers you a comprehensive ecommerce solution at the best price.

Are you looking to hire Edamama-like top Ecommerce app development company?

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How Much Does It Cost to Develop a FinTech App?

Financial App Development Cost:

We all need to have money management skills in making our budget and never fall into debt. These days everyone prefers authentic and easy online transactions. It is a good way of making payments but failing us to track the financial status. Here, the finance apps come into the picture to monitor your spending and savings.

In this digital era, everything is done online through intelligent apps, and the financial sector is not exceptional. You can track every transaction when the app links to your bank account. Moreover, with a high-security level and privacy, mobile financial apps encrypt your data and transaction history.

In this article, we give you a detailed guide on top financial apps features and benefits. Also, we let you know how much will it cost to develop a financial app in 2021.

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What are Financial Apps?

The financial apps will help in managing savings accounts and tracking debits, deposits, and credit scores at anytime from anywhere. Financial apps bring all your financial information into one platform and organize your finances efficiently.

USM is one of the best mobile app development companies in the USA. We develop results-driven financial apps. The apps that we build provide the seamless performance and ensure high security to customer’s confidential data.

5 Best Financial and Banking Apps in the USA 2025

Here is the list of the best finance apps available for Android and iOS platforms.

1) Robinhood

Robinhood app offers commission-free trades of stocks and gives a better understanding of financial markets. Users can also buy and sell cryptocurrency at no commission rate.

The mobile app is introduced in 2015 by Robinhood Markets, an American financial services company headquartered in California.

Benefits of USA’s top-ranked financial app like Robinhood App

• Robinhood’s trading tools give investment solutions to both new and experienced traders.
• Get your hold on bills, paychecks, and spends from the mobile application
• It helps you invest in trusted and secured stocks.
• You will also get an interest rate on the savings in the account.
• You can trade Bitcoin, Ethereum, Litecoin, and Dogecoin with the Robinhood crypt feature.
• The mobile app will get your first stock to get you started.

How much will it cost to develop a trending financial application like Robinhood?

2) Wells Fargo Mobile

Get all finance administration features with this best finance app, Wells Fargo Mobile application. The app is available for Android and iOS users in English and Spanish languages. Biometric access accounts, scanning deposit cheques, and track your investments.

Advantages of popular banking application like Wells Fargo Mobile App

• Review your transaction activities and balance your accounts.
• Easy money transfer in an encrypted manner
• Instantly pay your bills through the Bill Pay Feature of Wells Fargo
• Quick funds transfer through mobile number or email address.
• One of the best advantages of this banking app is it allows users to view processing credits in their accounts
• Push notifications and transfer alerts help you update your account activities.
• It facilitates users to view credit card transactions.
• Easy to upgrade the card or block the card if you found any fraudulent acts.

USM, a leading Android mobile apps developer, creates standalone clone apps on-demand. Our skilled mobile app developers develop flawless banking apps.

3) CashApp

CashApp is a mobile payment service that can give your complete financial picture. It is a famous finance app in the USA and the UK with 36 million active users. The application has zero commission trading of stocks and funds with easy sing up process.

Benefits of on-demand investment apps like CashApp

• Link the bank account and monitor your investments and savings.
• Send or receive money instantly
• App with TouchID or FaceID protects your payments and investments
• CashApp offers a customizable visa debit card or cash card that helps you pay for online or in-store purchases right away.
• You can buy, sell, or deposit Bitcoin instantly
• Buy stocks in top US companies at zero-commission
• Users can pay bills directly using Cash App wallet
• The app offers exclusive discounts called Cash Boosts.

USM, the best mobile apps development company, provides Android apps development, iOS apps development, and cross-platform apps development services for businesses across various industries.

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4) Chime

Chime is a leading banking app in the USA and is available in app stores for free. It will not charge any maintenance and transaction fees. With its two-way authentication feature, it has grabbed the hearts of over 5 million users worldwide. Moreover, its automatic savings feature helps users to an eye on savings.

 

Advantages of trending banking apps like Chime App

• The app sends notifications and transaction alerts that ensure account security and privacy.
• Chime banking application assists users in getting paycheck two days before than expected with direct deposit
• Chime’s Credit Builder features let you pay bills on time and maintain a good credit score.
• Send and receive money without any transaction fees.

Talk to our experts to know how much it will cost to create a leading banking app like Chime.

5) Capital One Mobile

Capital One Mobile application is the top finance app for Android and iOS. Users can manage financial cards, bank accounts, and loan accounts from a single platform. This free-to-download app allows users to log in through fingerprint for optimized account privacy. The app also offers rewards and can redeem them when required.

Benefits of the top finance apps like Capital One Mobile App

• This finance application made cheque deposits hassle-free
• Check the balance and credit score with a tap on the app with your thumb.
• Users can effortlessly get credit or debit cards
• The app helps you instantly block a credit card if you missed it and activate the new one when you need it.
• The app notifies you regarding every transaction you made through it
• With its Zelle feature, users can easily transact money in minutes securely
• One of the outstanding features of the Capital One finance app is that it provides 24/7 customer services via a virtual assistant called Eno.
• Get rewards and redeem them when you feel they are beneficial.

USM business systems, one of the top mobile apps developers in the USA, create best-in-class banking apps. We create features-rich finance applications like Capital One Mobile.

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Significant Features & Functions of Banking and Finance Apps

The features added to the app make them unique over other applications. Herein, we have shortlisted a list of significant features that makes your banking or finance applications successful in the app stores. Here we go.

Account Management: This feature helps users to manage their banking accounts efficiently. The app should play a pivotal role in verification, transfers, and day-end tally for the users.

Notifications & Updates: The transaction alerts help users verify their transactions. Besides, the apps also remind the user about overspendings and investments. The banking apps should also send articles and data before users invest in stocks. Users can also check credit score, rewards, and bill dues and stay tuned with their accounts.

Security: When it comes to money, security is an essential aspect in every step. Users will trust your finance app only when your app provides high-level security to their confidential data.

Tracking: Real-time money tracking is the core feature of banking & financial app. The mobile app should provide continuous updates on transactions, credit balance, and other loan data. 

Show Credit Score: Financial apps with Check Credit Score feature will hit the apps store and have higher downloads. Banks offer low-interest rate loans for people with a good credit score. The best banking or financial apps should facilitate user to check their credit score with simple clicks.

Data Analytics: A clear representation of account information in charts, percentages, and infographics makes the data easily understandable. Users can have an idea about their withdrawals, investments, and savings with ease. This feature will also increase the app access rates and user retention rates.

USM, the best finance apps developer in the USA and India, can build a banking app with unique features, as discussed. Let’s talk and launch your finance app before your rivals do!  

 

Required Technology Stack for Finance Apps Development

Once you have a features list, you should choose the right technology stack for the banking app development. Here is the list of code languages, technologies, software, and tools required to develop a finance mobile application.

• Programming Languages: Java and Kotlin (for Android) and Objective-C & Swift (for iOS)
• SDK: Android SDK, iOS SDK
• Frameworks: React Native
• Frontend Web App: HTML5, Node.JS
• Storage: Android Cloud, Google Cloud

USM, the top Artificial Intelligence driven mobile app development company in the USA and India, has a proven track record of successful mobile apps, including finance and banking apps.

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How much does it cost to build a full-fledged finance app?

The development cost of the finance app will be around $40,000 to $125,000. But, the cost to build a banking application depends on various factors, including features, platform, and app design.

For instance:

• The development cost of a finance app with basic features with simple UI for a single platform will be around $20,000-$40,000.
• The cost to build the best-in-class banking app with advanced features will range from $40,000-$70,000.
• The development cost to create feature-rich financial and banking apps for Android/iOS with complex UI will reach around $70,000-$125,000.

Besides, the estimated cost of the finance app development will also depend on the development time, team size, and location of the mobile app developers you choose.

Let’s see in detail.

Design: The front-end design of the mobile application called user interface should be eye-catchy. It should navigate users to inner pages with simple clicks. Also, the UI with attractive icons and graphics will further add elegance to your app. The integration of appealing graphics might increase the development cost to some extent, but they help to increase app retention rates. 

Features: Finance apps with basic features, including account creation, account data aggregation, credit utilization, and budget tracker, will cost around $25000-$35000. If you want to include advanced features like tracking credit score in real-time, EMI calculator, data analytics needs more budget than estimated.   

Platform: App platform that you pick will also decide the overall development cost. Due to higher computability, the development of finance apps for Android is expensive than getting your app developed on iOS.

Development Team Size: The development cost of trending banking app also depends on team size. If the mobile app development company you choose has no required resources, they need to hire and fill the skill gap in the team. The money the mobile app developers spent on resources will project in overall app development cost.

So, choose the best financial app development company with vast industry experience and adequate resources to get your app developed within budget.

Developers Location: The location of the app developers is another major factor that affects the cost of mobile app development. Compared to the app developers in the United States and other European nations, mobile app development in India is affordable even by startups.

Being a leading mobile apps development company in USA, USM gives you the best price for your banking app development.

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Conclusion

In this connected digital world, we can get everything under our fingertips. By sitting at the convenience of home, you can fulfil your banking and financial needs using intelligent mobile apps. Easy-to-use finance apps not only benefit users but also ensure profitable business to app owners.

Are you looking for a top finance app development company? 

USM is your best mobile app development partner. We build the trendiest Android apps and iOS apps within deadlines as promised.

Talk to our app development experts and get a free quote for your app.

How To Make AI Voice Assistant App?

Artificial Intelligence (AI) personal voice assistants for android have a wide scope in this digital world. Now, we have many virtual voice assistant applications like Bixby, Siri, Cortana, and Ok Google. These advanced voice assistants are making our lives more luxurious and simpler. Undoubtedly, these AI-powered virtual apps will occupy many parts of our lives in the future.

We are aware that 99.9% of android mobiles support AI virtual voice assistant apps. Personal assistant apps for android have been popularizing day over day. It’s a hot topic among tech leaders.

Initially, Siri is the best voice assistant app for android. As technology is advancing, there are plenty of alternatives to Siri that have flooding in the market.  The ultimate goal of all voice assistants is to make your life simpler.

• Top 6 Artificial intelligence apps for android.
• What technologies used to develop a voice assistant app?
• How much does it cost to develop an app like Cortana?
• Enterprise-level benefits of using voice assistants
• Top 5 predictions for the future of AI-based voice assistants

Recommend: Top 13 Artificial Intelligence Apps for iOS and Android

Best 7 AI Virtual Assistant Apps for Android

Here the list of a few best AI apps for android. Let’s have a look into it.

#1 Google Assistant

Is there something an android assistant app like Siri?

Yes, we have Siri like assistant app for android.

As demand for Siri type apps is increasing, mobile app development companies are focusing on delivering virtual assistants that hit Siri capabilities.

Google Assistant is the best Siri alternative for android. Google voice assistant app for android is released in May 2016. It has a plethora of smart features and offers great compatibility with smart lights. Thus, Google assistant is now the best Siri like virtual assistant app for android users

Google Assistant recognizes and understands voice commands. You can simply activate the smart personal assistant with the “OK, Google” voice command.

The best thing is, the latest version of the Google Assistant app seamlessly works with iOS/iPhone. It works with Siri. With the “Hey Siri, OK Google” voice command, smart Siri activates your Google assistant.

Thanks to AI technology.

Recommend: Know How to make your own AI-based virtual voice assistant, Siri

If you would like to taste the benefits of smart AI virtual assistants, talk to USM. We deliver an AI app like Siri or Google assistant within a promised time frame.

Get a free quote now!

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#2 Cortana

Cortana is the best personal virtual assistant app. This android Cortana app records your important data like videos, images, and many more. It syncs your smartphone and PC. You can track your important files from your smart device.

It also helps to get information about your favorite TV shows, sports, and more on your smartphone.

#3 Robin Personal Assistant

Robin is an AI personal voice assistance app. This app is a well-known AI app for iOS and Android users. It allows users to send SMS without touching the phone and send it through voice.

You can also get GPS navigation, set reminders by this Robin app. According to the requirements of the users, this AI-driven app updates itself.

#4 Hound

It is the best AI-powered mobile voice assistant app, and this android app is something like Siri. It includes all standard functionalities of maximum voice assistants and provides improved intelligent services. Like Siri virtual assistant, this voice assistant application helps android users in booking hotel rooms, searching for music, playing some interactive mobile games, etc.

#5 FaceApp

FaceApp is an ideal AI-driven app for Android and iOS. It is proficient in changing complete looks like a smile, hairstyle, and many other features on the face.

USM has delivered hundreds of AI mobile apps for androids. Our top-notch AI-driven solutions for different industries are trendy in the market. Let us know your app ideas. We bring them into reality J

#6 Dragon Mobile Assistant

It is one of the best voice command apps for android users. This intelligent personal voice assistant for android understands your queries related to stock and responds with the best stock quote and its past data. Dragon mobile assistant app operates even if the screen is locked. It helps you to customize your mobile device to your voice.

#7 Jarvis

Jarvis is one of the best virtual assistants for Android users. It provides updates on weather status, news, calls, and SMS text. Accordingly, this artificial intelligence-powered personal phone assistant app helps you in doing your tasks like Wi-Fi on/off, Bluetooth on/off, set alarms, sends notifications and plays your favorite music, and so on.

Know more about Artificial Intelligence apps that you can download from Google Play Store.

Best Technologies To Develop An Android Voice Assistant App?

The below are the few major intelligent technologies used to develop voice assistant apps for 2021.

•  Voice/ Speech to Text (STT)

Voice assistant means that it takes the assistance of your voice to offer excellent performance.  This STT technology plays a vital role in converting your voice commands to text. Later, it processes text using Sphinx (speech recognition library) and CMU.

Recommend: Know how to create your own AI-based virtual voice assistant, like Siri

•  Text to Speech (TTS)

It takes the text or images and converts them into human understandable speech. This AI-technology is perfect when you want to know the exact pronunciation of a word.

• Intelligent Tagging and Decision Making

This technology makes it easier for the voice assistants to understand the user request. For instance, if you give a voice command for the latest Bollywood songs, the system provides a list of beautiful songs.

• Image Recognition

It is one of the necessary technologies to add significant features to a voice assistant app. This intelligent android app technology can identify people, places, and objects using AI and machine learning algorithms. In-built algorithms can efficiently recognize images using a camera system.

•  Noise Control

This technology reduces the background noise and lets you recognize the correct voice. If you wish to develop the best own AI personal assistant apps for android or iPhone, this feature offers a more personalized experience to the users.

•  Voice Biometrics

While creating your voice assistant, voice biometrics adds a security feature to your app. This technology identifies the voice and analyzes whether it is authorized to the system or not.

• Speech Compression

This technology helps the users to compress the voice information and briefly send it to the server. Without any delay, it fastens the performance of your voice assistant application. You can apply the G.711 standard to apply this feature.

• Voice Interface

When the user listens and replies to the request, the voice interface comes into the picture. As a developer, you have to set the speech rate and way of speaking, etc. For the visual part, you have to choose the data visual representation that the user is supposed to see on the screen.

How much it cost to develop a voice assistant app for android?

Honestly, no one can estimate the final cost to develop a voice assistant apps for android. It depends on the features it has.

USM has immense experience in delivering the most advanced android AI virtual applications. We quote every app with reasonable pricing.

Get a free quote now!

Now, we will have a look into how voice assistants benefit businesses.

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What are the business benefits of voice assistants?

The voice assistants are not only good at meeting your personal needs. The next-gen AI-enabled voice technology meets the desired needs of an enterprise as well.

We found that the usage rate of talking assistant apps like Siri for Android and iOS is moving forward rapidly. It was proved that over 80% of businesses are gaining competitive advantages by integrating voice assistants into their operations.

The below are a few of the key benefits of deploying AI voice assistant for your business.

• Enhances consumer personalization
• Augment human talent
• Improves marketing efficiency
• Provide improved insights to the marketing team
• Improves product sales
• Offers efficient problem-solving abilities

These benefits are attracting businesses to make their investment in popular voice technology. Apart from the above-listed benefits, integrating voice assistants help enterprises to maintain streamlined operations.

If you are looking to improve business productivity using voice assistants, contact USM Business Systems today. We make everything possible without compromising in quality and accuracy.

The future scope of AI-based voice assistants

The biggest tech brands such as amazon and google are fueling their business using voice assistants. These are not only permitted to tech industries, other sectors like healthcare, banking, and retailers are also benefiting by integrating these digital voice assistants into their businesses.

What researchers are forecasting about voice command assistants future?

• Modernized conversations

Developers are focusing on delivering customer-centric assistants that offer modernized conversations. Voice assistants are more advanced than earlier. For instance, Alexa and Google voice apps woke up when the user calls them with a name or command.

• Personalized individual Experience

The digital personal voice assistant apps using AI offer more personalized services. For instance, Google Home, a personal voice assistant can differentiate individual voices in a family. It supports up to six unique voices.

• Search Behaviors of Users

Modern voice assistants save a lot of time spend in typing text to start our search.

•  Touch Interaction

The integration of voice and visual capabilities will provide a seamless experience to the users. It allows users to get more interacted with digital assistants.

•  Security

Smartphone users have a major fear regarding the privacy and security of innovative voice assistant apps. Moreover, voice payments will be going to expand aggressively in the future. So, companies need to be more focused on providing more secure platforms for users.

Conclusion

USM Business Systems is the leading and best Artificial Intelligence Development Company. We have highly experienced AI developers who gained hands-on best practices in using various advanced technologies. Feel free to discuss today your AI project! We will promise the best and more advanced AI solution for your business growth.

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How Much does Artificial Intelligence Cost?

Artificial Intelligence Cost

Today, the development of technology is rising at an exponential rate, bringing with it many possibilities and possibilities. Artificial Intelligence is one of the most buzzed words in companies in 2020 with a plethora of AI-based solutions that change business processes in several industries.
The benefits promised by Artificial Intelligence bring life-changing consequences. Time-consuming tasks in the past could be quickly completed with AI capabilities. With machine learning, AI continues to increase the accuracy and quality of outcomes.

AI can develop efficient business models, test abstract models while reducing the cost of labor.
AI systems have already designed for several sectors in the economic world. These AI solutions have been used to streamline business processes, expand employee productivity, optimize communication channels, manage customer contacts, and remove wastage.

The potential of AIs has encouraged large enterprises to consolidate their business to take advantage of these opportunities. On the other hand, small business owners have been stifled due to the expenses involved.

Related Links:

• Top Benefits And Risks Of Artificial Intelligence

• The Significance Of AI Technology By Industry

Future of Artificial Intelligence

AI technology is becoming widespread in our lives as many companies in different industries widely accept it. By providing creative insights and automating the daily routine works, every sector from manufacturing and logistics to healthcare and retail is reaping the benefits of Artificial Intelligence.

E-commerce platforms leverage AI algorithms to simplify the buying process and personalise their offers based on customer behaviour. with such a wide range of use cases all sectors, it is no wonder that Artificial Intelligence has an increasingly expanding market.

According to the market analysis reports of Scoop Junction, ‘the AI market across the globe will develop from 19.631 billion US dollars in 2017 to 176.547 billion US dollars in the year 2024.
If you are worried about how to make an artificial intelligence program and how much does artificial intelligence cost, be cool! You are on the right page.

The entire process of developing Artificial-Intelligence based solutions has various key features that determine the total cost.

Here is an Expert Guide On AI Business Consulting

Continue Reading!

To know the Factors Affecting the Cost of AI Solution Development

• Data Issues

AI-system development does not only depend on the coding skills of the trusted AI development team but also depends on the quality of data for the training algorithm model, which plays a vital role in the success of the project.

Because of this, a large amount of information is needed to detect hidden patterns between input data and output features. If businesses do not need enough data, it may be possible to obtain data from external services or collect more data which may take much time. Using data augmentation is also a better solution to raise the sample size.

However, it leads to the increasing cost of development. In addition, the data should be cleaned and stored in the appropriate warehouse to reduce the cost. Otherwise, we should take appropriate measures to clean up the data that can expand the cost of AI solutions.

It is easy to work with structured data, as the outcome is cheap. Therefore, before initiating the project, it is better to conduct a smart review on the internal databases of clients to find its quantity and quality.

In many cases, companies also need to be accountable for dealing with errors, missing data, defects, outliers, etc. In fact, most organizations typically capture and manage highly structured data (ex: video, audio, communication such as social media posts, chats, etc.) and needed more complex and sophisticated machine learning algorithms to utilize this type of data. This kind of project usually costs more to develop AI solutions.

• AI Algorithm’s Performance

Adequate algorithm performance is one of the major cost-effective factors because a high-quality algorithm requires a round of tuning sessions. This eventually raises the overall cost of the project.

The Algorithm’s performance rate varies according to the client’s business objective and the cost of incorrect AI predictions machines.

The mediator takes advantage of a system that generates 55% correct estimates because it already determines profitability. However, a 90.9% system planned at diagnosing a disease, treating false-positive patients is fatal, which is not satisfactory so far.

Many people got a doubt that why should we care about algorithm performance and data processing speed to understand how costs to develop an AI project?

The answer is quite simple: all AI applications rely on data and use it for the knowledge gaining process. So, it will take much time if the date is processed slowly.

The development cost of Artificial Intelligence (AI) may depend on various crucial factors that comprise the scope and size of the AI project. So, it is great to have an idea of the phases of the AI project.

Let us have a look at the following four essential phases

• Discovery and Analysis Phase

The phase aims to research the project requirements, goals and the feasibility of the project. In the initial stage, it is most important to both technology partners and customer companies to find whether Artificial Intelligence solution is required for your business.

This starts with conducting in-depth research on client’s operation processes, data assets, and business metrics as well as finding out exactly how an organization can address their key business issues using Artificial Intelligence.

If AI technology is required for your business, you can then develop a project by predicting the scope of work required for further process, i.e. prototype development. If all the necessary data, business metrics and client’s processes are in the proper format, this phase will just take 5 to 7 days.

• Prototype Implementation and Evaluation Phase

A prototype is a method of creating a business model to examine the proof of concept and feasibility as well. This could be a limited, drawing or text-based mock-up or advanced code-based prototype.

This form will depend on the project tools and complexity and tools (application simulation programs, screen generators, or design tools) used to develop it. Prototypes are shown to and discussed with the client.

It is completely based on project complexity and tools like application simulation programs, screen generators, design tools that used to develop it.

Prototyping is an awesome technique that enables IT professionals to validate design choices and requirements. Prototypes are cheap to produce, and easy to adjust. The prize and threats associated with software implementation are significantly reduced, as the requirements are discussed before the development process begins.

USM Business System – ranked in the list of best mobile app development companies in the USA, is trying hard to make this phase as budget-friendly as possible for their clients.

• Minimum Viable Product (MVP)

Based on the prototype results, we develop a real MVP product in this phase. MVP is based on the client’s data and exposes it to a small group of real customers as a simplified version of the end product solution.

Feedback is very similar because at this stage, it is not that much expensive to revise the system than it was fully developed. Average MVP costs vary depending on project complexity and size.

• Product Release

In the final stage, a product with predefined features is developed and then introduced into the market. Previous steps place a high emphasis on requirements validation and elimination. Therefore, the final product is made with fewer errors. The cost of this final phase is usually predicted in previous steps.

Types of AI Use Cases

AI development can vary significantly depending on the type of system being created. Here are common AI applications:

• Chatbots and Virtual Assistants: Basic conversational tools or advanced assistants like ChatGPT.
• Predictive Analytics: Used for forecasting trends in industries like finance or supply chain.
• Image Recognition: For applications such as facial recognition, medical imaging, or security.
• Natural Language Processing (NLP): Powers text understanding, translations, and content generation.
• Recommendation Systems: Found in e-commerce platforms and streaming services.
• Autonomous Vehicles: Combines AI with sensors and IoT for self-driving technology.
• Fraud Detection: Applied in banking and finance to detect anomalies and prevent fraud.
• Robotics: For automation in industries like manufacturing, healthcare, or retail.
• Personalized Marketing: Tailors advertisements or content based on user behavior.
• Speech Recognition: Converts spoken words into text, as seen in virtual assistants.

Top 5 Factors Behind AI Costs

1. Type of Software: Simple chatbots are affordable, while custom AI models with deep learning cost significantly more.
2. Level of Intelligence: Basic AI vs. advanced systems requiring fine-tuned and context-aware models.
3. Data Quality and Quantity: The cost of collecting, cleaning, and managing data impacts the project budget.
4. Algorithm Accuracy: Higher precision algorithms demand more computational power and testing.
5. Solution Complexity: Integration of multiple components, APIs, or advanced functionality increases costs.

So, How Much Does AI Cost?

In today’s world, with the more availability of various frameworks and tools for developing Artificial Intelligence solutions, AI technologies are becoming more accessible to businesses.

A few years ago, only the multinational tech powerhouse companies like Microsoft, Google, and Amazon could afford their AI solutions for businesses. Now, most of the companies like USM Business Systems can leverage the power of machine learning technology at a very feasible price.

Depending on the needs, goals, and size of your company, AI solutions may have a higher cost, which offers enormous benefits. In the very soon, rather than later, your company can beat your competitors and take advantage of Artificial Intelligence, like by using dynamic pricing to increase revenue.

With the above-provided information, I hope you well understood how will artificial intelligence affect our lives and got an idea about how to make an artificial intelligence program.

AI Project Cost Breakdown

• Simple AI Models: Starting at $5,000 for basic implementations.
• Complex AI Solutions: Ranges from $50,000 to $500,000+, often involving deep learning and advanced algorithms.
• Industry-Specific AI Applications:
  • Healthcare AI: $20,000–$50,000.
  • Fintech AI: $50,000–$150,000, due to regulatory and security needs.

Additional Costs

• Hardware: High-speed servers and GPUs may cost upwards of $10,000.
• Software: Specialized tools or frameworks for AI development.
• Development Team: Rates depend on location, ranging from $25/hour (in some regions) to $150/hour (in the US/Western Europe).

I truly believe in the below words of David Gasparyan, a President of Phonexa.
“No company is going to survive in the future without implementing, or at least gaining an understanding of, artificial intelligence and how it can be used to better grasp data they collect.” 
If you believe the same and would you like to have an AI solution for your business, Please reach us
We are happy to assist you!

How Much Does It Cost to Make a Mobile App?

How Much Does It Cost to Develop an App In 2025 | Cost to Make a Mobile App?

In today’s rapidly growing digitalized world, every business owner needs to have a mobile app. Coming up with a great idea for developing an app is simple, but getting answers for queries like ‘how much does it cost to make an app’ and ‘how much does it cost to maintain an app’ is tough.

Is it the US $1000 or $10,000 or even more than this? To be honest, it’s impossible to find out the exact app development cost. There are several factors, which influences the development cost to make a mobile app. And, those factors vary from one application to another application.

To just give you an example, a Camera with several advanced features such as advanced editing options, cloud storage, social media integration, etc.

cost very high than a simple Camera which has customized filters. Likewise, the e-commerce app creation cost will be high compared to the simple file manager.

Business owners always wonder how to create an app and how much does it cost to build an app. or Cost to develop mobile app or how much does it cost to make an app or Mobile App Development Cost or app development cost breakdown or average cost of app development. Be Cool! Here is a fantastic formula to estimate the cost of app development.

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Formula to Estimate App Development Cost

The formula for mobile app development cost estimate lies simply in calculating the total number of hours that takes to the development process and multiplying it to the hourly cost of development team.

Also Read: 7 Reasons Why Your Business Needs a Mobile App

6 Main Factors that Influence the Development Cost of Application

1) Platform Selection

Selecting a platform for an application is the initial step in determining development costs. For example, clients select for a hybrid app or native app. Hybrid apps can work on several platforms. However, native apps can work only on a particular platform.

• Android Application

Most business owners like to invest in Android app development as it is widely used across the world. But, the development of an android app is higher than an iOS app. Java needs many lines of coding which eventually takes much time to develop an app. In addition, it takes much time in the testing phase.

• iOS Application

iOS application built by using the programming languages, like Swift and Objective C, which required fewer lines of code than Java. As a result, the cost and development time would eventually decrease.

• Hybrid Apps (Cross-Platform Apps)

One of the best ways to reduce app development costs is by using hybrid apps. Wonder about this app is that just a single set of coding is enough for different platforms. Though they don’t have a few functionalities and features, it’s a good option for entrepreneurs with a limited budget.

2) App Complexity

The complexity of the app obviously influences the cost of developing an application. Top-rated app development companies have divided app complexity into three categories, i.e. simple applications with basic features, moderate applications with some advanced features like payment options, UI, UX, etc. and complex application with highly advanced features like AR, VR, API Integration, etc.

As the name tells, the simple app development cost is less, the average cost for moderate applications, and typical app development cost is high.

3) App Features

Choosing features that you want to include in your mobile application is also a necessary step to estimate the cost for building an app. There are hundreds of features available in the market, which makes an app more useful.

The most commonly used features in mobile apps are User Login, creative UI/UX designs, Screen orientation, Navigation, Geolocation, Google map integration, App security, Chat/messaging, In-App purchases, Database connectivity, AR/VR support, Push alerts, Ads,

multi-language support, and payment gateway app integration like Paypal, Sagepay, MasterCard, eWay, World pay, etc. So, make sure to select features which match and have a vital role as per your business needs as with all the include features, you should invest extra cost.

4) Application Hosting

Application hosting is a very important stage, which makes apps live for the users to download through the Play Store and App Store. It is also part of the app development cost, which is very tough for business owners to invest.

It is necessary to select the perfect platform that satisfies various parameters like Backend API request, Bandwidth per MAU, and Bandwidth per user. It also facilitates in receiving good traffic.

5) App Maintenance

Application update is essential as it reminds the general user that the application has constant changes as per the users’ requirement. This app upgrade leads to new features that need to invest much amount.

In addition, App Bug Fixes is also one of the major factors that increase the cost. No application would function without bugs. In most of the cases, bugs will appear after publishing the application. So, you should keep checking for bug fixes.

6) App Development Team

The cost of developing an app also depends on whom you are hiring to develop and cost to make a mobile app whether it is a renowned app development agency or a Freelancer.

Large-cap firms charge a high amount as they have thousands of employees to build and app know very well how to create an app from scratch, whereas a freelancer or an agency of around 10 team members will charge a less amount as they will take little more time than large-cap companies. if you would like to know more about Cost to develop mobile application or App Development Cost USA or How much does it cost to make an app or How Much Does It Cost To Develop an App or Mobile App Development Cost or Mobile app development cost estimate or How much does an app cost to build app or development cost breakdown or average cost of app development or android App Development Cost or ios App Development Cost or how much does an app development cost, then reach our one of mobile expert to guide you to know more.

Conclusion – How Much Does It Cost To Create A Mobile Application?

After reading the above factors, I hope you got clarity that there no exact figure to describe the cost of developing an app. However, you can hire the mobile app development team as per your business requirements by analyzing the aforementioned factors and can calculate the estimated cost for developing your app.

High quality, relatively low prices and on-time delivery are what every business owner is looking for when hiring a mobile application developing agency.

Developing a mobile app involves varying costs depending on the app’s complexity, platform, and other influencing factors. Here’s a breakdown of what you can expect when budgeting for app development:

Cost Estimates by Complexity

• Simple Apps: $10,000–$50,000
  Features: Basic functionality, minimal user interface, and no backend.
• Average Complexity Apps: $50,000–$120,000
  Features: Moderate design, integrations, and backend infrastructure.
• Highly Advanced Apps: $200,000+
  Features: Complex designs, multiple integrations, AI, AR/VR, or real-time processing.

Platform-Based Costs

• iOS Apps: $65,000–$400,000
  Factors: App complexity, tools used, and team expertise.
• Android Apps: $50,000–$300,000
  Factors: Complexity, compliance regulations, and user requirements.
• Cross-Platform Apps: $50,000–$500,000
  Factors: Cost-effective but depends on functionality and tools used for shared codebases.

Key Cost Drivers

1. App Complexity: Features like AI, AR/VR, or custom APIs significantly increase costs.
2. Development Team Location: Rates vary widely, with North America typically higher than Eastern Europe or Asia.
3. Design and UI/UX: Unique and interactive designs raise costs.
4. Backend Infrastructure: Data-heavy apps require robust backends, influencing costs.
5. Ongoing Maintenance: Post-launch updates and bug fixes are essential for app longevity.

USM Business Systems have an expert AI app development team to give you a correct estimate as well as build an app in your budget. We know this well, as we develop iOS apps, Android apps, AI apps and Web apps, for established firms and even startups across the world.

Please reach us! We are ready to make your vision into reality.

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AI in Travel- How Artificial Intelligence is Transforming the Travel Industry

The impact of Artificial Intelligence (AI) is profound and far-reaching in the landscape of travel and tourism in many ways. From intelligent booking systems to virtual assistants, AI has offered real-time automation support and elevated every aspect of travel operations to the next level.

AI in the travel industry not only helps companies stay ahead of the competition but also creates a future where travel is smarter and more enjoyable, aligned with travelers’ expectations. AI-driven solutions offer predictive insights, optimize resource allocation, transform customer interactions, and provide personalized services. These capabilities enable travel agencies to exceed the evolving expectations of modern travelers, providing tailored experiences that were once thought impossible.

In this article, we will look into the role of AI in travel and how it is impacting the way agencies provide personalized and convenient travel services to their customers.

Significance Of AI in Travel

Artificial intelligence role in the travel industry is incredible. Here are some of the top benefits of using AI in travel app development.

1. Data Analysis and Personalization

AI algorithms analyze vast amounts of data and understand traveler preferences and behaviors. This enables travel companies to offer highly personalized recommendations and create unique travel experiences tailored to individual needs. For instance, platforms like Expedia and Kayak use AI to suggest destinations, accommodations, and activities based on user travel data and interests.

2. Automation

AI-powered tools automate various aspects of the travel process, from booking and check-in to customer support. This not only speeds up processes but also reduces human error and operational costs. Virtual assistants and chatbots handle routine inquiries and tasks, allowing human staff to focus on more complex issues.

3. Customer Service Enhancement

AI-driven chatbots and virtual agents provide 24/7 support, addressing customer inquiries instantly and efficiently. These AI tools can handle a wide range of tasks, from answering common questions to assisting with bookings, thus enhancing the overall customer experience.

The Best Applications of AI in Travel

AI’s integration into the travel industry has opened up a myriad of applications, each enhancing the way travelers plan, book, and experience their journeys. Here, we explore key use cases of AI in travel and how AI is making a substantial impact.

1. Personalized Trip Planning

One of the most significant contributions of AI to the travel industry is its ability to offer personalized trip planning. Personalized travel suggestions lead to higher customer satisfaction and loyalty. An AI travel app can analyze a traveler’s preferences, past behavior, and even social media activity to provide tailored travel recommendations, ensuring the travel experience is unique and suited to the individual’s interests and needs.

Hence, AI-powered travel apps help travel agencies suggest destinations, accommodations, and activities that match a traveler’s profile. These platforms analyze user data, including search history and preferences, to offer recommendations that feel specially curated.

2. Smart Booking Systems

AI has revolutionized the booking process by streamlining and optimizing reservations. This makes the process faster and more efficient for both travelers and service providers.

Chatbots and virtual assistants are prime examples of AI in action within booking systems. These AI tools can handle a variety of tasks, from answering customer queries to completing bookings. For example, companies can use AI chatbots to assist customers with their travel plans, providing instant responses and personalized support. This not only enhances the user experience but also allows companies to operate more efficiently by reducing the workload on human staff.

3. Enhanced Travel Experience

AI significantly enhances the travel experience by providing tools and services that make travel more convenient and enjoyable. Real-time language translation tools, such as Google Translate, break down language barriers, allowing travelers to communicate effortlessly in foreign countries. AI-powered travel assistants, integrated into mobile apps, help manage itineraries, provide local recommendations, and offer real-time updates on flights and other travel-related information.

4. Smart Hotel Room Management Systems

Hotels are increasingly adopting AI-driven systems to manage room settings such as lighting, temperature, and entertainment. These systems can adjust to the preferences of guests, providing a personalized and comfortable stay. For instance, some luxury hotels use AI to learn guests’ preferences over time, automatically setting room conditions to their liking upon check-in. 

5. AI-Driven Customer Service and Virtual Concierges

AI-powered chatbots and virtual assistants handle guest inquiries and requests effectively. These virtual assistants provide 24/7 support, answering questions, making reservations, and even troubleshooting issues. This not only improves the guest experience by providing instant assistance but also allows hotel staff to focus on more complex tasks that require a human touch.

6. Public Transportation Optimization

Cities like Singapore are using AI to optimize public transportation routes and schedules. AI analyzes traffic patterns and passenger flow to reduce wait times and improve the efficiency of transit systems, ensuring smoother commutes for both residents and tourists.

Future of AI in Travel industry

The future of AI in travel is poised to bring about transformative changes, driven by emerging trends and technologies. These advancements are set to make travel more efficient, personalized, and immersive, ultimately enhancing the overall travel experience. 

Artificial intelligence is playing a crucial role in promoting sustainable travel practices. By analyzing data on travel patterns and environmental impact, AI can help travelers and companies make eco-friendlier choices. For instance, AI can recommend travel routes and modes of transportation that minimize carbon footprints. Additionally, hotels and resorts can use AI to optimize energy consumption and waste management, reducing their environmental impact.

Platforms like Google Flights are starting to include carbon emissions data for flights, allowing travelers to choose more sustainable options. This trend is expected to grow, with AI providing increasingly sophisticated tools for sustainable travel planning.

By staying ahead of these advancements and thoughtfully integrating AI into travel app development services, companies can provide exceptional experiences that meet the high expectations of modern travelers.

Get In Touch with USM, the best AI app development company, to learn more!

 

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The Future of the Financial Industry: The Impact of Open Banking System

The financial industry has seen a significant transformation in recent years to match evolving customer needs and technological advancements. Among these changes, the open banking system had the most impact. This shift has redefined the way financial institutions operate and how consumers interact with their financial data.

An open banking system basically represents a linked, integrated ecosystem of data and services. At the core of an open banking system’s API integrations, connections among participating banks and third-party providers will establish a system where a wide range of financial services data is transferred and accessed safely and effectively for customers.

In this article, let’s explore what open banking is and the impact of an open banking system on the financial industry. Also, let us look at the benefits, challenges, and implications of open banking systems.

What is Open Banking

Open banking originated in Europe by adopting the Revised Payment Services Directive (PSD2). This has set a new benchmark for transparency in finance, allowing customers to share their financial data with third-party providers. This makes banking not just easier but also more effective.

There are two key ideas behind open banking, including data sharing and empowering consumers. Open banking creates a vibrant financial environment where businesses can thrive by giving customers access to their financial information. Regulatory frameworks like PSD2 ensure that banks provide this access through APIs, which help create competitive and tailored products.

The Role of APIs in Open Banking System

APIs are much like digital messengers that assist various software programs in communicating with each other and sharing information. In open banking, APIs enable banks and other financial institutions to connect and share data in an encrypted manner.

There are different types of APIs in use within Open Banking. Probably the most important ones are payment initiation APIs and account information APIs.

• Payment initiation APIs enable direct payments from a bank account through a third-party application.
• Account information APIs allow third-party applications to access details of a user’s bank account, such as the balance or transaction history, so they are able to offer relevant services to users.

The technical standards of these APIs in open banking ensure good interoperability to keep data safe. Open banking makes for a much more connected, flexible financial system by opening access to these two APIs. They help banks to deliver better services, while assisting new companies build innovative financial products that meet their customer needs. This eases the credit management and makes it more convenient, increasing control over financial life of customers.

Key Benefits of Open Banking APIs

Open banking APIs come with several benefits, both for consumers and financial institutions. Some of the key advantages include:

1. Improved Customer Experience

Open banking APIs help financial institutions access and utilize the banking information of customers and provide more personalized services. For instance, budgeting apps can track users’ spending and give them tips on how to save money. This makes it easier and far more delightful to manage finances.

2. Enhanced Financial Products and Services

Open banking enables banks and fintech companies to innovate financial products that could not have been conceived in the past. For example, they can build mobile applications that identify the best loans or investment opportunities for them according to their financial history. It will improve sales as well as customer loyalty.

3. Increased Competition and Innovation

Open banking APIs allow new companies to compete with traditional banks with intelligent approaches. They help companies deliver better services at lower costs to the end-customer, thereby improving brand value.

4. Operational Efficiencies and Cost Reductions

Open banking APIs help to increase efficiency and reduce operational costs for banks. Banks shift their focus to the area of enhancing the quality-of-service delivery in the wave of automation in data sharing activities. That is how consumers benefit from more efficient, quicker, and reliable services in banking. 

Challenges and Risks Associated with Open Banking APIs

While open banking APIs offer a lot of benefits, there are some challenges and associated risks that need to be dealt with.

1. Security and Data Privacy Concerns

Everyone using open banking APIs is worried about one thing: the safety of their financial information. There is always a chance of a data breach, or cyberattack, each time your information travels from one bank to another third-party provider. There are quite strict measures and protocols for ensuring security, but compliance at each end is always a difficulty.

2. Regulatory Compliance and Legal Considerations

Open banking regulations are oriented towards consumer protection and ensuring fair competition. For instance, open banking is regulated by very articulated rules under PSD2. So, it can be very complex and costly for financial institutions and third-party providers to comply with these regulations. Changes in the regulation can be monitored, and compliance with them may pose a significant challenge.

3. Consumer Awareness and Trust

For the bank to succeed in open banking, it is expected that customers be aware of the pros that come with it and eventually trust the process. There are still many doubts among people about sharing personal financial information with third-party providers due to a fear of losing privacy. For that reason, educating consumers on securing their data, coupled with the advantages for them of open banking, will be very fundamental in building trust and encouraging its adoption.

Future Trends and Predictions

The open banking API landscape is experiencing rapid growth, driven by technological innovation and changing consumer expectations. Here are some of the key trends and predictions that reflect the future of open banking systems.

Artificial intelligence (AI): AI technology helps companies analyze customers’ financial data and gives personalized insights into their money management, and product recommendations, etc. For instance, AI-driven chatbots can suggest finances in view of your transaction history and spending habits.

Blockchain: Blockchain technology can offer a secure and transparent way to manage financial transactions and data sharing. This would enhance the security and reliability of open banking APIs.

Internet of Things (IoT): IoT, from smart home systems and wearables to smart clothing, is able to be connected with open banking APIs.

Conclusion

Open banking APIs can drive innovation, a better customer experience, and market competition in the financial industry. Obviously, challenges relating to the security and regulatory compliance of the technology should not be taken lightly, but the benefits outweigh the risks. With knowledge and flexibility in front of these changes, financial institutions, FinTech companies, and consumers are all going to succeed in this new epoch of finance.

Get in touch if you would like to learn how the USM Business System helps ensure an AI-powered connected financial ecosystem.

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E-Signature Software Development in 8 Easy Steps 2024

E-signature software has emerged as a game changer for businesses and professionals. This digital tool offers a secure and efficient way to manage signatures, eliminating the hassles of paper-based processes. The demand for e-signature software has increased even more in recent years with the rise of remote work.

Developing your own e-signature software can be complex, but with a clear roadmap, it becomes manageable with an expert mobile app development company. This article provides comprehensive guidance for e-signature app development in eight easy steps. Whether you are a tech entrepreneur or a business executive, our step-by-step guide lets you turn your dream of developing e-signature software into reality.

What is E-Signature Software?

E-signature software is a digital tool that enables users to sign documents electronically. It offers a secure way to authenticate documents, agreements, and contracts online. This software ensures the authenticity and integrity of the signature through encryption and other security measures. E-signature software reduces paper usage and enhances convenience by allowing documents to be signed from anywhere at any time. This software is commonly used in the real estate, legal, and finance sectors.

Step-by-step process of E-Signature Software Development

1. Research and Planning

This phase is crucial in laying out a strong foundation for developing e-signature software. Initially, you have to identify the target users and their specific needs. For this, you can conduct surveys and market analysis to understand what potential users may expect from a new e-signature software. This helps to define the main features and functionalities of the software.

The next step is to analyze the performance of your competitors’ apps. Evaluating the existing e-signature solutions would help you understand what makes them stand out in the competition and their strengths and weaknesses. This helps you come up with a unique mobile app into the market.

2. Choosing the Right Technology Stack

This is a crucial step in developing an e-signature app for Android and iOS, as it impacts the performance and scalability of the application. The technology stack involves programming languages, tools, API integrations, and UI (User Interface) frameworks.

Based on the core features and functionalities of the software, you can decide the technology stack. For backend mobile app development, common technologies include Python, Node.js, and Java. For the frontend, consider React, Vue.js, or Angular to create an interactive user interface.

Since security also plays a crucial role, it is better to choose encryption technologies and secure communication protocols like SSL/TLS. Additionally, consider third-party integrations like cloud storage and authentication services for enhancing functionality and user experiences.

3. Designing a User-Friendly Interface

UX (User Experience) and UI (User Interface) are crucial in developing e-signature software. A well-designed interface ensures that users can effortlessly navigate the application.

Start by creating prototypes and wireframes to visualize the flow and layout of the software. While designing, focus mainly on simplicity and intuitiveness. The interface should be clean and straightforward, with clear instructions and minimal distractions.

4. Features Development

Start by developing the features pre-defined in the planning phase of the project. Some of the core features required for e-Signature app development are signature creation, document management, and user authentication.

Signature creation tools allow users to sign the documents electronically with ease. Hence, the document management feature allows users to upload, organize, and store the documents securely. Make sure to incorporate mechanisms like multi-faction authentication to ensure transaction security. Integrate APIs for seamless connectivity with third-party applications like cloud storage services and CRM systems.

5. Security and Compliance

For software like e-signature, security and compliance are paramount. Implement strong encryption methods, like protecting data during storage and transmission. Use secure protocols like SSL/TLS to safeguard communications.

Make sure the software complies with relevant regulations, which set standards for an electronic signature’s legal validity. Incorporate audit trails to track document history and modifications. Regularly update your software to address security vulnerabilities.

6. Testing and Quality Assurance

This phase ensures the scalability and performance of the e-signature software. Start with unit testing, which focuses on individual components to ensure they function correctly in isolation. Follow this with integration testing to verify that different modules of the software work seamlessly together.

User acceptance testing (UAT) involves real users to identify usability issues and gather feedback for improvements. Security testing is important to uncover vulnerabilities and ensure robust protection against potential threats. Use automated testing tools to streamline the QA process to ensure consistent and efficient testing outcomes.

Regression testing has to be conducted after any changes or updates in the software to make sure the new code does not negatively impact existing functionalities. Comprehensive testing and QA help to resolve any bugs early, leading to a more reliable e-signature solution.

7. Deployment Phase

Start with a comprehensive deployment plan, detailing every step to ensure a smooth transition. This includes configuring servers, the production environment, and verifying that all integrations are working correctly.

During deployment, prioritize user onboarding to facilitate a smooth adoption process. Provide detailed documentation, tutorials, and user guides to help users navigate the new e-signature software effortlessly. Additionally, establish a responsive support system to address any immediate concerns or questions from users.

Monitor the software closely post-deployment to quickly identify and resolve any issues. A well-executed deployment ensures that the software operates effectively from day one, providing users with a seamless experience.

8. Maintenance and Support

Maintenance is an on-going process to ensure the e-signature app remains secure, functional, and up-to-date. Regular updates are important to enhance features, address security vulnerabilities, and fix issues that may arise. Implement a feedback system to continuously gather user input and use it to guide your development priorities and updates.

Security maintenance is also important to conduct periodic security audits and updates to protect against emerging threats. By staying proactive with maintenance, you can ensure that your e-signature software remains a reliable tool for end-users. Regularly updating and improving the application keeps it competitive and aligned with the evolving needs of the market. 

Must-Have Features in E-Signature Software Development

Adding user-friendly and security features would give your E signature software development project success. Here are a few significant features that you must include in your e-signature mobile app.

• User profile and signature upload
• Simple UX/UI for quick navigation
• Multi-level authentication processes
• Signature verification and validation
• Document upload and maintenance
• Compliance accordance
• Third-party integration
• AI-chatbot assistance
• Notifications and alerts

These are a few must-haves features that mobile app development companies must consider during e-Signature software development. Integrating these features will ensure success and keep your app standing out from the crowd.

Similarly, technology stack will also play a key role in the success of your e-signature app development.  Choosing the right frontend technologies, backend technologies, API integrations, and database will contribute to the success and performance of your mobile application.

How much does it cost for E-signature app development?

What is the cost of e-signature software development? If you are searching for this question, you are not alone. Being an expert mobile app development company with best practices in e-signature software development, we estimated that:

The best E-signature app development cost with basic features will range from $25,000 to $30,000. The average cost of e-signature app development with advanced Artificial intelligence features will reach $45,000 and beyond. So, based on your budget constraints, go ahead with the e-signature application development.

Conclusion

Benefits of E-Signature software development in this digital age is high. E-signature apps have become crucial for many businesses to handle documentation and signing. Developing such an important software application involves a well-defined process that covers everything from understanding market needs to deployment and maintenance.

By following the eight steps mentioned in this article, you can create a robust and user-centric e-signature solution that meets the demands of modern businesses. With careful planning and execution, your e-signature software can become an indispensable tool for digital transformation and operational efficiency.

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Evolution of Augmented Reality in the Past, Present and Future

Augmented Reality is an advanced technology that enables users to interact with the digital world using real-time objects.
It is a direct or indirect view of a physical, real-world environment, whose elements are augmented by computer-generated sensory inputs such as graphics, sound, video, or GPS data.

AR boosts the view of the real world using digital technologies like Videos and 3D models.

Today, in this blog, we will be discussing the history of Augmented Reality, how AR is impacting the present world and how it will be in the near future.

Evolution of Augmented Reality in the Past or History of AR:

• In 1968, when computer scientist and Harvard professor named ‘Ivan Sutherland; teamed up with his student Bob Sprowle to create ‘The Sword of Damocles’ or the first head-mounted display, we discovered the initial stages of Augmented Reality technology.
• In 1974, the next biggest development in AR was done by Myron Krueger. This project is named as ‘VideoPlace’ that combines video cameras and projection system in order to produce shadows on the screen. This setup seems to be in an interactive user environment.
• In 1990, Tom Cadell, a Boeing Researcher, has officially used the term “Augmented Reality”.
• In 1992, Louis Rosenberg, who worked in the USAF Armstrong Research Lab had created the first real operational AR system called ‘Virtual Fixtures’. A robotic system keeps data above the work environment of the workers. This system can be considered as an early version of currently doing AR systems
• In 1994, In order to use AR, the first theatrical production was created. “Dancing in Cyberspace” was created by Julie Martin and featured acrobats in and around virtual objects on stage.
• In 1999, NASA used the Hybrid Synthetic Vision System, which integrated AR technology into their X-38 space craft. AR was used to help develop navigation during flights testing.
• In 2000, a major breakthrough in AR was made when Hirokazu Kato of the NIST, Japan (Nara Institute of Science and Technology) was established and released software with the name of ‘ARToolKit’. This software helps in capturing real-world actions and integrate with the communication of virtual objects.
• In 2003, the NFL Company utilized the Skycom, which is great for aerial views of the industry to insert a virtual down marker.
• In 2009, along with Robert Downey Junior, Esquire Magazine has used AR in their print media. Readers can see AR content when using their software on the computer to scan the barcode on the magazine.
• Thankfully, in the same year, ARToolKit made AR technology accessible to all internet browsers.
• In 2013, Volkswagen used AR as their car manual. Using the MARTA application on the iPad helps customers see the vehicle’s internal performance so service mechanics can find out what they are dealing with.
• In 2014, the world largest company, Google had created a Google Glass with AR and made available to consumers. But, it wasn’t successful in the global market as developers expected. So, Google has withdrawn its Google Glasses in Dec 2015.
• In 2016, Augmented Reality became a sensation in the world as it entered the day to day life of humans through games. AR gamed named “Pokemon Go” became popular and more than 100 million people were downloaded this game via apps stores.
• The game allows users to watch Pokemon characters bounce in their hometown. The main aim of this mobile gaming application is to capture pocket monsters and use those monsters to fight with others locally, in Augmented Reality gyms.

• In 2017, IKEA launched an AR-based app with the name of IKEA Place, which completely transforms the retail industry soon. This application enables customers to see their house decoration option with IKEA furniture before buying a product.

• In 2018, again, a mobile game with the name of “Harry Potter: The Hogwarts Mystery” has become the more popular across the world. Along with entertaining people, especially kids, this app also creates a feel like Hogwarts around them, while being able to cast spells and learn from Hogwarts teachers. This app has downloaded by over 10 million people so far from Google Play Store.
• In 2019, a football club incorporated Augmented Reality into audience experience on its stadium, immersing the Manchester City tour in an occasion of its 125th birthday.  The audience would be able to interact and sit next to Manchester City manager named, ‘Pep Guardiola’ at the top bench of the press conference. In addition, the tour features 360-degree movie screen and 3D holographic content, which is designed to provide an amazing experience for fans.

Also Read: Top 10 AR and VR Applications in Business

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Evolution of Augmented Reality in the Present:

Today, Augmented Reality is at the forefront and is known as one of the most promising technologies. When someone uses the word “AR” these days, most people immediately look at their smartphone.

• Now, let’s have a look at some of the examples that are splashing into our everyday lives.If you are at your favorite music concert and would like to know it will be playing next, just point your mobile device at the exhibitor and can find real-time information on announcements, upcoming shows, and ticket discounts and offers.
• I think most of you troubled some times when reading small letters on your medicine prescription bottle label. Don’t worry! Augmented Reality has completed this changed. Now, patients can get easily get the information like dosage, expiry date, side effects, ingredients used in the medicine, etc through 3D glasses that are made of using AR.
• Are you a sports lover and watches sports with your friends? If you would like to know the athletics statics while watching game, just point your Smartphone at the coach or player and you will get sports insights and information – as same as you browse on the internet. All this is all happens with AR.
• If you want to purchase clothes by just sitting at home, and at the same time, you want to make a trail with your preferred clothes, AR helps you out! Thanks to AR technology, now you can try clothes virtually and can see on a screen whether the color suits and size fits you. If everything is fine, you can place an order.

In addition, there are plenty of social advantages to Augmented Reality technology, which I can’t mention all those in this article. You can take the Pokemon Go craze as an example. It carried thousands of people out of bed and ran around, which was great for obesity. AR also supports police catch criminals and people address issues like depression and illnesses.

Evolution of Augmented Reality in the Future:

AR and VR are the most buzzing words in the world and it is well recognized as a new, innovative and creative way for brand awareness and customer engagement. Being a techie is an amazing thing. Undoubtedly, Augmented Reality has unlimited power and potential.

According to the researchers, tablets and smart phones will not be the only platform for Augmented Reality in the future. Research into the inclusion of AR functionality in contact lenses and other wearable devices continues rapidly.

The main aim of AR is to build an intuitive and convenient involvement, so there is a perception that smartphone will be replaced, but not sure what that re-establishment will be. Even Glasses are also getting a new look as “smart glasses” are developed for the blind.

We categorize the various industries that see increased AR activity in the near future. Look at the following:

1. AR in E-Commerce  — Almost all the ecommerce companies will be integrating augmented reality into their mobile apps and websites. In the retail industry, it leads the user to smoothly “dress” applications in jackets, sunglasses, jewelry, and footwear through phone camera
2. AR in Digital Marketing — Augmented reality continues to enhance the way customers engage with business brands. Marketing AR appears in gaming applications, street signs, interactions, and packaging with some other products.
3. Educational Resources — Educational researchers are trying to find better and simple ways to use augmented reality in training situations that makes students understand well. The healthcare and military industries are striving to develop good AR training simulators.
4. AR in Geolocation  — The efficiency of mobiles/tablets that informs us about our surroundings is greatly developed over time. AR helps everything from restaurant suggestions to real-time travel consultants.

Wrapping Up

Augmented reality is impacting the current world at a rapid speed and every industry moves vertically. It will be used by everyone, including professionals and consumers, for years to come. It is becoming an important tool for educational purposes in schools/colleges across the globe.

AR certainly offers endless promises and when combined with mobile device technology, it definitely proves to be very powerful. AR allows for geo-tracking that gives users amazing experiences.

If you are looking to build an Augmented Reality-based app for your business, contact us right now.

With two decades of experience in web and mobile app development, USM Business Systems is ready to make an application that will help boost your business growth.

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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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