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AI Technology Is Redefining the Manufacturing Sector

Best Ways AI Is Improving Manufacturing In 2024

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

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

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

Source: Markets and Markets

Top AI Applications In Manufacturing Industry
How AI transforms manufacturing?

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

1.AI Virtual Assistants Bots

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

2. Predictive Maintenance and Analytics

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

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

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

3.Process Automation 

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

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

4. Facial Recognition Apps

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

5. Fraud Detection

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

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

 

Also Recommended to Read: Use Cases of AI in Manufacturing

The Present State of AI Technology

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

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

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

Sight Machine Launched AI to Redefine Manufacturing Analytics

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

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

Benefits of Using AI in Sight Machine

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

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

Impact Of AI In Manufacturing Industry

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

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

Recommended to Read: The Revolution of AI Technology

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

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

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

Final Words

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

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

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How Much Does It Cost To Develop Tinder Dating App? 

A Guide To Dating App Development

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

Dating Services Revenue Worldwide From 2017 to 2027

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

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

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

Most Downloaded Dating Apps Worldwide 2022

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

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

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

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

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

Who Is Tinder?

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

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

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

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

How Does Tinder App Work?

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

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

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

#1. Simple Sign-in

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

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

#2. Profile Creation

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

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

#3. AI Feature for Matching

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

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

#4. Swipe Feature

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

#5. GPS Tracking

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

#6. Instant Chat

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

#7. Audio/Video Calling

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

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

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

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

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

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

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

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

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

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

Wrapping Up!

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

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

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