Benefits of Artificial Intelligence (AI) in Mobile App Development

Relia Software

Relia Software

Cong Dinh

Relia Software


This article will get you know how to use artificial intelligence in mobile apps, benefits and drawbacks, as well as successful examples.

Benefits of Artificial Intelligence (AI) in Mobile App Development

Table of Contents

The market for mobile apps is becoming more and more competitive. Developers are looking into how to use data science and artificial intelligence to improve the consumer experience. All types of evolution and change have accelerated with the development of AI. So, let’s discover further details about the way AI (Artificial Intelligence) is operated in mobile app development via this article.

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What Is Artificial Intelligence (AI)?

The phrase "artificial intelligence" (AI) is not specific to any one technology but rather refers to all hardware and software elements that allow machine learning, deep learning, computer vision, natural language processing, natural language comprehension, robotics, etc. Machines can mimic human intelligence thanks to artificial intelligence. 

AI uses machine learning (ML), natural language processing (NLP), and deep learning (DL) to create algorithms with reasoning and decision-making abilities. AI enables businesses to swiftly extract important insights from vast volumes of data. These data-backed insights are used by businesses to strengthen their capacities, boost productivity, improve their overall operations, and spur growth.

By carefully incorporating human traits and skills into a machine and utilizing its computational strength and talents to outperform humans, an AI system can be created. Investigating each sub-domain in-depth and considering how it might be used in various industries is necessary to comprehend how artificial intelligence functions.

>> You may be interested in: Kriya - AI driven platform for client

What Is Artificial Intelligence (AI)?
What Is Artificial Intelligence (AI)? (Source: Internet)

Trends in Mobile Application Development And Design Driven by Innovative AI 

There are numerous trends in mobile application development driven by Ai:

Speech Recognition Technology

That is one of the most common types of AI used in mobile apps. Take Siri and Cortana as an example. They are in charge of turning what people say into a language that a computer can understand.

Voice and speech recognition technology is used by virtual assistants to figure out who is talking and what is being said so that they can carry out the tasks. So, your app users can basically talk to the app without having to click around. 

As you might expect, virtual helpers can help you save a lot of time. Besides, they are also helpful for users who want to tell your app what to do while moving or doing something else that keeps their hands busy.

Speech recognition is also very important for people with disabilities. Therefore, if you want your app to be truly useful for everyone, you need to include virtual helpers.

AI-Powered Chatbots

With the help of AI, chatbots are increasingly being included into mobile apps to provide frictionless user contact. A seamless user experience is ensured by AI-driven chatbots, which can comprehend natural language inquiries, learn from user interactions, and give contextually relevant responses.

Additionally, it can be expensive to keep one or more agents available around-the-clock, especially when many requests can be readily satisfied. Therefore, here is where chatbots powered by AI may help. With the use of natural language processing, these clever technologies can assist your mobile application in automating the process of replying to consumer inquiries. 

Emotion Cognition

By analyzing facial expressions, speech patterns, and text inputs, AI-powered emotion identification technology can assess and comprehend human sentiment. AI or machine learning developers can use this power to create apps that react to user emotions and increase user engagement.

Predictive Text Input

AI-driven predictive text input technologies are developing quickly, enabling faster and more precise text entry. The efficiency of typing is considerably increased by these systems, which examine user input patterns, anticipate the next word or phrase, and adapt to the user's writing style.

Computer Vision

AI-based computer vision algorithms make it possible for mobile applications to detect and understand visual input, opening the door for cutting-edge use cases like image search, visual buying, and object tracking.


You may create a solution that offers customized experiences to each customer by continuously evaluating your users' behavior within the app and recognizing their specific preferences. Inspiring them to come back repeatedly and leaving them with a positive impression.

AI will be able to provide applicable recommendations, which might be very useful for mobile app developers who provide online goods and services. Thereby, boosting the likelihood that the sale will go through.

VR & AR Integration

AI is essential for improving AR and VR experiences in mobile apps. AI algorithms can create customized AR and VR environments, resulting in immersive and engaging experiences, by analyzing user behavior and preferences. 

Benefits And Challenges Of Artificial Intelligence (AI) In Mobile App Development
Benefits And Challenges Of Artificial Intelligence (AI) In Mobile App Development
(Source: Internet)

Benefits And Challenges Of Artificial Intelligence (AI) In Mobile App Development

>> Read more: Top 10+ Best AI Development Tools for Software Developers


There are numerous advantages to using an AI-powered mobile app for your company. What are the main elements influencing a mobile app's market success from a commercial standpoint?

Increased Personalization Of Content 

>> Read more: What is Generative AI? Best Generative AI Tools for Businesses

Personalization of content promotes consumer loyalty and boosts revenue. You have a great possibility of hooking consumers on your app if you offer user-generated content and blend it with special deals. You can leverage AI's power to accomplish that. AI performs customer segmentation, learns from in-app user activity, and generates user-generated content. 

Consider the highly regarded Flo mobile app for women's health. It personalizes the user's feed by analyzing their in-app behavior to determine what they want to read about. Daily health insights, information on ovulation and periods, and pregnancy necessities are all tailored to the user's needs. 

As a result, any app with a wealth of data may be a gold mine for AI. Product owners must bear these benefits in mind if they want to fully benefit from deploying mobile apps for business.

With this technology, push notifications, product bundles, and relevant content offerings may all be organized. AI can do wonders by reminding your user to be mindful and give in assignments on time. Allowing AI to embrace data is all that is necessary.

Automated Customer Engagement 

Automated client engagement is one of the advantages of AI-based mobile applications. For individuals who receive numerous messages from clients every day, technology is a lifesaver. You should integrate AI into your app if your support crew is struggling to handle the demand rather than risk losing a few users, right? 

Automated customer service software provides prompt responses to the queries and subjects it is familiar with. Your support team's workload will be reduced if you put it into practice. AI can be used to answer simple questions about goods and services, shipping, and other topics, freeing up time for more intelligent tasks.

Mobile IoT Apps

There are numerous advantages mobile apps can offer for IoT businesses. The concept of being able to control smart home appliances remotely from an app is starting to gain popularity. It is practical, efficient, and fashionable. They assert that supply comes from demand. And given the sheer amount of IoT and smart home apps, that is true. This is it for Google Assistant, Apple Siri, and Amazon Alexa. In addition, there will be more.

AI is the technology underlying this magic. AI enables seamless data management and transfer across apps and smart appliances. It's only a click away from you, whether you want to listen to Mozart's operas or boil the kettle. 

>> Read more: Top 10 Best Mobile App Development Companies in USA

Increased Productivity of Mobile Apps

You should think about AI and ML if you want to increase the productivity of your apps. Consider visual search. It makes camera-enabled shopping possible. It simplifies the process of finding products and makes the entire purchasing process simple and fun. Visual search is now used by shops to enhance their in-app experience.

Consider searching for a bomber in a leather jacket. You may either type something like "black leather jacket bomber winter" or you can submit a picture of a jacket that looks similar, and that's all. You can conduct pertinent searches. You were spared time. Which choice would you choose? The second.

Visual search has been used by Target for a while. Customers who use the app can upload a picture of a product to receive relevant search results. The visual search function of Pinterest Lenses makes shopping simpler and more enjoyable. Users will always favor apps that make life easier given the hectic world we live in today. 

Face Unlock for Better Security

Since September 2017, when Apple introduced its AI-based Face Unlock feature, a lot of time has passed. The users enthusiastically embraced the innovation, and it appears that nothing will stop it. This concept seeks to increase application security by using facial information. Each user has individual, non-copyable facial data. The user's facial landmarks are recognized by the AI-based technology, and if a likeness is found, the phone is opened.

No Room for Mistakes

The process of creating an app is difficult and frequently fraught with pitfalls. For industries that require high levels of precision and accuracy, AI has become crucial. If appropriately built, AI would create algorithms that leave no space for error, drastically reducing errors in the production of mobile applications.

Cross-Platform Usability

Not everyone can be a designer or a coder. However, with the rise of cross-platform applications and apps that do these duties for organizations and individuals, it pays to have a system that lets you design apps even if you don't know how. 

AI has been used to develop tools that enable the average layperson to learn how to make mobile apps by imparting a basic understanding of the technology and the techniques related to the program.

Constant Service Availability

Machines do not need frequent breaks and refreshments like humans do. Machines are able to perform the job constantly without getting weary, distracted, or bored since they are programmed to work around-the-clock. A human cannot operate as a machine does.


Income Gap 

The usage of AI in the creation of apps is awesome. However, only those with sufficient funds and resources are able to carry off something extraordinary. Small enterprises and startups might have to wait till the day when everyone can use AI-enabled tools for app creation. For the time being, AI is your best buddy in the field if you have money to spare.

Diverse Grade

To use AI to its full potential, it needs a special user interface and superior technology, such as a predictive analytics setup and a neural network processor. However, even when AI is utilized, quality is never guaranteed due to the shortage of qualified professionals in the sector. 

AI that has been poorly coded may end up being more harmful than helpful. This might include denial of service attacks, bugs, inaccurate results, and the addition of inoperative components brought on by AI. With new technology, there is always the possibility that the user experience won't always be maintained.

No Human Element

Many people are worried about the loss of the human element in app development. This can be explained that applications won't have any distinctive qualities or personalities that would make them stand out from the competitors. 

Users appreciate knowing that someone is adding value to their experience rather than an artificial system that thoroughly scrutinizes each action. No matter how intelligent a system may be, it has the drawback of becoming impersonal, which will eventually lead to a clumsy user experience.

Lack Of Judgment Calls

There is always a feeling of security and confidence that morally righteous actions can be made while humans are operating in the shadows. However, AI is now unable to reach such conclusions that permit humans to focus under urgent circumstances. Algorithms and calculations may not always be the way to formulate a decision.

Loss Of Jobs

AI might even replace the requirement for creators if it overtakes the industry's dominant mechanism chain, which would come at the expense of pay and benefits. Such a move will only increase the number of aspirants moving on to other opportunities while the mobile app sector turns into a lifeless building with no characters or corporate rungs to climb.

What Sort of Mobile Apps Can You Create Using AI?

Image Recognition App

Apps for image recognition use artificial intelligence (AI) to recognize objects, people, places, and activities in photographs. Without the need to manually categorize photos or browse through a lot of images, these apps can assist users in quickly gathering valuable data. 

Google Photos is an example of an image recognition tool that uses AI to identify faces in photographs and automatically generate albums based on them.

Language Translator App

Apps that translate languages offer users an automatic translation service using AI technology. Users may quickly translate words, phrases, or complete sentences into other languages in real-time by using AI-powered language translation apps. Some of the most well-known AI-powered language translation tools include Google Translate and Microsoft Translator.

Chatbot Applications

Chatbot applications offer users a virtual customer support representative through the use of AI technology. Users can simply ask inquiries or obtain assistance with tasks by using chatbot apps instead of contacting customer support. Apps that use chatbots are also used to offer product reviews, suggestions, and other services.

Virtual Assistants Apps 

Apps with virtual assistants employ artificial intelligence to aid users with common tasks. These applications can be used to organize calendars, access information, and more. The most well-known virtual assistant applications are those for Siri, Cortana, and Alexa.

Mobile app developers may design strong and practical applications that enhance the user experience by utilizing AI technologies. Mobile apps with AI capabilities can speed up processes, make activities simpler, and offer consumers a higher level of personalization.

How to Implement AI in Mobile Apps?

1. Recognize Your Objectives

It's crucial to establish your final goal before attempting to include artificial intelligence into mobile apps.

How do you want the user experience to be presented? How would AI assist in achieving these objectives? Is the goal to make the process go faster or more accurately? Before beginning a process, having a clear objective in mind will help guarantee that the right technology is employed to provide the required results.

2. Analyze Your Data

Any AI implementation's ability to succeed is mainly dependent on the data you feed it. It's crucial to evaluate and clean the data you intend to utilize for training and testing your AI system before starting any development. This entails assessing the data's formatting and content to see if it is complete and accurate. 

3. Select the Appropriate Technology

You may start selecting the appropriate technology for integrating AI into your mobile app once you have a clear knowledge of your objectives and data.

The technology you choose will mostly depend on the feature or functionality you intend to include in your mobile application. Make sure to select the platform that best suits your demands since different platforms have varying AI integration capabilities.

4. Create an AI model

You can begin creating the AI model for your application as soon as you have determined the best technology for your requirements. This entails creating the neural network from scratch, programming it, and then training it on your data. Prior to deployment, it is also crucial to test and improve the model.

All you have to do is search for APIs and frameworks that provide robust functionality you can apply to your project. You'll save time and effort by doing this during the development phase.

5. Evaluate and Improve Your AI Models 

It's crucial to properly evaluate your mobile app once AI has been incorporated. Verify if it performs as planned and make an effort to improve it. Additionally, you can employ data analytics to raise the precision of your AI models.

6. Disposition

It's time to integrate the AI model into your mobile app after it has been developed and tested. You might need to take further steps, such as creating a custom API or embedding an existing one, depending on the platform. 

In any case, before putting your model into production, it's crucial to make sure it's safe and working well.

7. Track User Comments

One of the best methods to determine whether your AI-powered mobile app is successful is through user feedback. Keep an eye on customer feedback and reviews, and use this data to modify your approach and enhance the app.

These recommendations will help developers build AI into their mobile applications in a secure and efficient manner. Teams may use AI to develop strong and compelling user experiences that stand out from the competition with the appropriate approach.

How to Implement AI in Mobile Apps?
How to Implement AI in Mobile Apps? (Source: Internet)

How Much Does It Cost To Develop AI-Driven Mobile Apps? 

It will cost you a little more money to construct AI mobile applications than it will to build a conventional mobile app. Due to the complexity of AI as an advanced technology, app developers and a list of top mobile app development companies typically bill according to the size of the project.

The price range for developing an AI app is $50,000 to $150,000.

An AI app's price is determined by several variables, including: 

  • Data Cost;

  • Research Cost; 

  • Resource Cost.

In addition to this, the following elements have an impact on the price of developing AI applications.

  • How many features does the app have?

  • Types of AI: Process Automation, Machine Learning, Voice Recognition, or Chatbots

  • App development platforms: iOS or Android

  • Software requirements criteria 

  • Complexities of app development

  • Utilization of third-party APIs

  • Where are the AI mobile app developers located?

Be aware of the overall cost of developing mobile apps, which takes into account the costs associated with each type and category of app.

Examples Of Successful AI-Driven Mobile Apps


Instagram, one of the "big three" social media sites, makes personalized content recommendations in the Explore tab by using Al algorithms. By making it easier for users to find pertinent content and profiles, this significantly increases user engagement. Al is also used for content moderation, finding and removing offensive or spammy content, and generally improving user safety.

Effects: By making it easier to find material and enhancing user security by identifying and eliminating bad content, Al integration in Instagram has enhanced user engagement. Today it is the 4th most used social media platform and 5th most visited website.


Fyle is an app for PC, Android, and iOS that uses artificial intelligence to track expenses. Fyle, a major leader in smart expenditure accounting, has introduced direct connectivity with Microsoft Office 365 and Google G Suite.

Fyle is used by organizations like Royal Enfield and Communicorp. It provides practical features like real-time data extraction, attempting to report operating expenses, business card tracking, real-time decision evaluations, compliance business processes, travel improvements, travel requests, research, and assimilation with critical transport management, HRMS, accounting, and ERP apps


Algorithms are used by the ride-hailing app Uber to optimize its dynamic pricing mechanism. To establish surge pricing, machine learning models examine historical data, traffic conditions, and patterns of supply and demand, guaranteeing effective driver distribution and accommodating times of high demand.

Effects: Al integration in Uber allows for effective pricing tactics, guaranteeing that drivers are available during periods of high demand and increasing revenue for the business.

With sales of $31.8 billion in 2022 - an 82% increase from the previous year - Uber saw significant growth. Uber drivers recorded 7.6 billion journeys, topping the previous milestone of 6.9 billion trips in 2019. There was also an increase in the number of completed rides.

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Al is widely used by Amazon, a top e-commerce platform, in its mobile app for individualized product suggestions, dynamic pricing, inventory control, and fraud detection.

Effects: By offering pertinent product recommendations, Al integration in the Amazon app has increased user engagement. It has also improved consumer happiness through tailored experiences, streamlined pricing methods, and improved operational efficiency.

A 42% possibility of a buyer moving forward with a potential product purchase was found on Amazon. Walmart and Etsy, on the other hand, reported values of 16% and 13%, respectively. Alexa from Amazon has a commanding 26.4% market share, dominating the global smart speaker market.

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AI is the cornerstone of technological advancement and change. One area where AI is influencing the evolution of the user experience is app development. The world of computer science has changed thanks in large part to mobile apps, particularly now that AI is there. Mobile apps that incorporate AI can learn more about their users and make user interactions more interesting.  

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