One of the most exciting inventions in the last fifty years is artificial intelligence. The way we work, shop, and listen to music has all changed as a result of technology. By enabling chatbots, automating processes, and enhancing tailored suggestions, mobile apps have benefited from the capabilities AI has to offer. 

Find out further ways to incorporate artificial intelligence into mobile apps.

What is AI and how does it function?

The idea of machines emulating human intelligence is basically what artificial intelligence is. AI develops algorithms with reasoning and decision-making skills using natural language processing (NLP), machine learning (ML), and deep learning (DL) technologies.

AI enables businesses to swiftly analyze large amounts of data and gain insightful information. These data-backed insights are used by businesses to enhance capabilities, increase productivity, and accelerate growth.

The retention, interaction, and conversion rates of mobile apps may all be improved by artificial intelligence. Let’s see how AI improves mobile apps.

Artificial intelligence and mobile apps

Apps with AI capabilities are more intelligent, intuitive, and capable of more for the user. The implementation of AI in mobile apps mostly focuses on three areas:


Decision-making and complicated problem-solving are aided by AI in app algorithms. AI is able to be used by mobile applications to assess and come to logical conclusions.

Accurate journey times are predicted using Google Maps. Uber locates the closest taxis and chooses the most efficient routes. In order to provide the best responses in real time, these businesses use AI to track previous traffic trends.

Mobile apps may now make judgments and resolve issues thanks to AI. When users find what they’re looking for, their pleasure rises, with AI working in the background to make this happen. Higher app acceptance rates and Net Promoter Score are the result of happy users (NPS).


AI is used by businesses to create effective recommendation engines for mobile apps. Recommendation engines examine user behavior from the past and provide relevant recommendations for the future.

Netflix makes recommendations for the following film based on an AI analysis of user interests. Amazon monitors customer purchasing patterns and suggests additional items that buyers are likely to purchase.

AI can examine data more quickly than a person and find recurring patterns. Apps benefit from a greater understanding of users, more relevant recommendations, and higher engagement rates. 

Behavioral Analytics

AI accelerates pattern analysis to produce more individualized app experiences. Supervised learning and text analytics are tools that startups may employ to improve the user experience.

AI, for instance, can assist in figuring out why a user deletes an app. Touch heatmaps are analyzed by Google Analytics or CleverTap (an app analytics solution that uses AI to track user sessions), which also finds user routes within mobile apps. Analytics powered by AI assists in adapting the app to customer expectations.

How AI Improves Your Mobile App

A mobile app is enhanced by artificial intelligence in three different ways:

Creating user journey flows supported by data:

Using AI, businesses may get more information about customers and their preferences. This aids in making the app’s user experiences and user flows more simple to understand and enjoyable to use.

Building a reliable recommendation engine: By observing prior user behavior, interests, and a variety of other indicators, AI may be trained to offer applicable ideas and recommendations.

Increasing user retention and engagement: Users are more likely to stick with an app when they find it entertaining and useful. A mobile app’s stickiness rises as recruitment and retention rates rise.

Why Include AI in Mobile Applications?

Here are some examples of how AI may be used to create incredible mobile app experiences:

24/7 customer service

AI enables businesses to be more open to their consumers. 

With an AI chatbot, businesses may provide improved customer service, provide correct answers to consumer questions, and free up internal resources for improving customer relations in novel ways. 

Live chatbots, according to 41% of consumers, improve customer service. Better conversational experiences are provided by chatbots without raising labor expenses.

AI guarantees timely and appropriate responses when integrated into an app, increasing interaction and user-friendliness.

Personalization of apps

Many contemporary applications use AI to power their recommendation algorithms. Similar to that, high-end user customisation within the app is possible with AI.

The user interface of an app can be customized with options depending on previous user behavior, such as location, prior purchases, or usage habits. Contextual settings and adjustments may make apps more interesting in a time of short attention spans.

The ordering process within a Starbucks venue is replicated using AI and NLP in the My Starbucks Barista app. By analyzing speech, order history and text, an AI-powered personalisation system makes ordering easier.

Contextual search results

Search is now more effective than ever thanks to AI. In order to increase the relevancy of upcoming search results, algorithms may now access search queries from a huge number of users. NLP-powered voice search has improved the app experience.

The prominent features of AI-powered search engines include Cortana, Siri, Alexa, and Google Assistant.

Increased app flow & retention

Mobile users are not often faithful; they frequently download apps that they just use once before uninstalling them. In reality, only about 25% of installed programmes are ever utilized more than once.

AI has the power to increase user retention and engagement levels by up to 53%. Businesses employ AI to gain a better understanding of customer preferences, including likes and dislikes for specific colors, themes, and app designs. 

This aids in improving and enhancing UI/UX designs for product designers. Artificial intelligence may be employed for user-focused features like personalized onboarding and gamification elements.

Dependable security measures

Security becomes more important as mobile transactions overtake desktop ones. High-authority authentication is made easier by artificial intelligence, and applications have smart security features built in.

Real-time vulnerability analysis is another benefit of predictive analysis. In order to stop data breaches and incidents of identity theft, AI can monitor user behavior and spot irregularities.

Specialized app marketing

Better marketing efforts may be made with the use of behavioral analysis. AI allows app owners and developers to track usage trends. Marketers may access the data to develop relevant marketing. 

The most effective approach to target customers who are more likely to engage based on their prior activity is via AI-powered push campaigns.

A/B tests may be made and current campaigns can be optimized using AI. Businesses employ AI/ML to automate the laborious human operations of A/B testing multiple variations of a landing page’s headlines, text, and design. 

Based on user data, eBay employed AI/ML to develop and optimize its email marketing campaign. This assisted the business in enhancing its marketing success by as many as 700,000 additional campaign opportunities.

Key steps and considerations for developing an AI application

It’s time to learn how to create an AI application for your company. The steps below can be used to create an AI application:

Assess a Problem and Competitor Analysis

The first stage in creating a mobile app is to think of an original concept that will benefit users.

What issue do you hope to resolve? How can you differentiate your solution from the competition?

You must provide answers to these queries before moving. You must do a market analysis, identify rivals, and design a unique selling proposition (USP) if you plan to create an app for a large audience (unique selling proposition.)

To further improve the functionality of an AI software you are creating for internal business requirements, you must first examine the issues you hope to resolve. 

Select an AI App Development Company

The creation of AI apps demands a thorough knowledge of the underlying technologies. The best option if you lack the necessary skills is to work with a reputable AI app development business. 

Start your search for firms with extensive user reviews on websites like Clutch, Manifest, and ITFirms. You’ll be better able to choose if you take the following set of steps:

  • Select your prospects.
  • Examine the client feedback that is currently accessible.
  • Analyze relevant AI app development experience
  • contact a few chosen firms
  • Interview people and explain your project.
  • Base judgments on all of the above mentioned information.

You may be curious about the price of creating artificial intelligence!

The difficulty of the ai – based algorithm is the key determinant of AI app development cost. AI app development needs the participation of programmers skilled in building sophisticated algorithms. 

The cost of adding artificial intelligence to a mobile app often rises by 20–40% as a result of the longer development time required to create an AI algorithm from the start.

Design & Features of App

It’s time to pick the features you’ll include in your application after selecting the vendor that will assist you with the work. Applications often make use of a variety of both basic and complex features. You can base your special features on artificial intelligence in this situation.

Never forget the significance of app design. It should be easy to use and visually appealing.

Select the Tech Stack For the Development of AI Apps

You must decide on the technological stack to use while developing an artificial intelligence mobile app.

Construct an AI Algorithm

Several steps go into the creation of an AI algorithm:

  • Learn about AI by identifying the issue you wish to resolve and the desired result.
  • In order to train a machine learning algorithm, choose the data, look for abnormalities, add labels, and specify the chronological sequence.
  • Prioritize particular value and evaluate the potential economic and business benefits of alternative AI implementations.
  • Understanding the Internal Capability Gap – Before beginning a complete AI deployment, a firm needs to be aware of what it can and cannot achieve in respect of technology and business processes.
  • Experts should be brought in, and a pilot project should be created, once your company is organizationally and technologically prepared to begin creating and integrating. This is the situation when hiring outside consultants or AI expertise may be really helpful.
  • Assemble a team for data integration You must prepare the data by cleaning it before you can use machine learning in your company.
  • Repositories – as components of the AI implementation strategy – The AI warehouse has to be optimized for data acquisition, workflow, and simulation. You may significantly improve the system’s performance once it is linked to the network by spending the time to build choices.
  • Build a system that is balanced. This is the essential thing to keep in mind. Although it may seem obvious, AI systems are developed without consideration for the needs and constraints of the software and hardware that will benefit the AI. Instead, they are developed to focus on specific elements of how the research team intends to accomplish its objectives.

Launch & Maintenance of Apps

When the app is prepared, you must launch it. But at this point, the job won’t be done. Mobile applications need constant updates and enhancements to function correctly and offer an adequate degree of security, like any other software.

The work therefore continues.

Development of AI App: Final Thoughts

You now understand how to create an AI app. As you can see, it’s a challenging process that requires a solid foundation in data science, machine learning, and AI.

You may always engage in a qualified mobile app development business with prior expertise in AI app development if you have any doubts about your knowledge’s ability to complete the task.

Best AI Applications for Mobile

A number of solutions currently include AI. Without even realizing it, you are probably using one or more AI applications. 

This section of the article will highlight some of the most well-known mobile applications utilizing this technology, which may inspire you to develop a few AI-based mobile applications.


Artificial intelligence is used by Apple’s well-known virtual assistant. Siri is accessible on all Apple devices, including those running macOS, iOS, watchOS, and tvOS. 

The virtual assistant can send text messages at will, create reminders, discover information, provide suggestions, and understands human language. A wonderful illustration of how to create your own AI helper is Siri.


A different virtual assistant, this one from Microsoft, also makes use of AI to provide customers individualized suggestions, solutions, and reminders. 

Additionally, Cortana can manage your schedule, add notes, and get smarter with time.

Internet Assistant

One of the most modern virtual assistants available is Google Assistant. A wider variety of gadgets, including smartphones, vehicles, headphones, and even refrigerators, support the Google solution. 

Users have several options, including the ability to search for information, operate gadgets, and more.


Amazon created a different AI virtual assistant on our list. The solution may be used for a variety of activities, including giving real-time information on the weather, traffic, news, and much more. 

It can also be used to create to-do lists, play audiobooks, set alarms, and answer queries. One of the most well-known applications of AI in mobile app development is FaceApp. 

Facebook’s self-portrait editor enables users to modify their look in the selfies to produce nice images.