How AI will Impact Mobile App Design and Development?

Throughout the past decade, mobile devices as a full-blown ecosystem have penetrated across all facets of our lives. The smartphone revolution and the app made the most significant value addition to our life. Now from our daily life purchases to social communication to political campaigns to business interaction to interactions with home appliances, almost all aspects of life are represented by mobile apps. But mobile apps also continued to evolve and become smarter with the arrival of new technologies. Artificial Intelligence (AI) in recent times has made a high impact on the design, development, and user experience of mobile apps.

The impact of artificial intelligence on mobile app design and development has been so definitive and robust that it deserves an explanation. Let us concentrate on the key aspects where this impact is most visible.


Self-Learning Apps

The impact of AI on mobile apps is particularly visible through self-learning app development. It is not surprising now for an app to understand your interactions and deliver what you want without requiring many on-screen activities. As mobile apps are getting complicated and more substantial with features and contents, a certain level of intuitive automation is necessary for smooth functioning without much effort on the part of the users. AI is playing a pivotal role to shape such self-learning apps.

AI is Boosting User Engagement

Driving user engagement is a crucial and competitive aspect that every mobile app is after. Without consistent user engagement, an app doesn’t stand a chance in the tremendously competitive mobile app market. While a static algorithm can only interact with users based on static preference categories, AI-powered algorithms have the scope to go deeper to understand user preferences and pain points. AI-based on a variety of user response patterns and user behavior can boost user engagement accordingly.

AI-based apps can boost user engagement because of the tremendous power of information they have. They gather a lot of information about the user, which allows them to analyze those user data to address various issues. Apart from this, an AI-powered algorithm is also capable of gathering important user information like the location, contacts, buying behavior, etc. This information further offers a whole array of actionable insights to serve the customers better.

Reasoning Getting the Help of Automation

The vast majority of apps help users in solving real-life problems through logical understanding and thinking. Through AI, this logical reasoning of an app can incorporate automation. When the app is equipped to understand the problem and ways to solve the issue by logically following, human involvement becomes unnecessary. Such automation in performing various mobile app tasks helps to deliver a smoother and more comfortable user experience. For instance, by processing the traffic data and information from millions of data from the on-road cab drivers Uber App can come up with a better suggestion of taking routes to reach destinations faster. Automated reasoning is what makes an app smarter.

Intelligent and Audience-Specific Recommendations

A vast majority of mobile apps fail to generate traction and engagement in the post-launch period because of not being able to address customers specifically. This is why e-commerce stores that address user preferences with customer-specific recommendations enjoy more sales and customer footfall. Similarly, a content-rich app can also recommend users specific posts and types of content based on their preferences. A media and entertainment app can support media stories based on user preferences. Artificial intelligence by analyzing user data and usage patterns can quickly help recommendations to be more revise and user-centric.

AI-Based Apps Understanding User Behaviour Patterns

An app primarily becomes successful by offering a smooth, comfortable and effortless user journey. How can an app evaluate whether the app provides a user journey that makes users happy? Well, user behavior and use patterns can offer a lot of insights and detailed information about app users. Based on this information and insights derived from them, the developers further can fine-tune the user journey and make design changes to help accommodating user preferences. From heatmap data to user data analytics, there are a lot of materials to support your AI algorithm in understanding user behavior.

AI Apps to Offer a Personalised User Experience

The most significant advantage of using AI is personalizing the user experience. AI-based algorithms and mobile APIs can help the developers creating customized scheduler and routines for the users of the app. Just think of how beautifully.

Amazon completely transformed its user interactions and user experience by using artificial intelligence technology. The e-commerce giant not only uses an AI-powered recommendation engine to recommend the most useful products for specific users, but it also helps users in shopping through AI-powered chatbots. AI-powered chatbots being better informed about the customers can help individual customers in particular ways and help to convert more sales.

All major tech giants, including Google, Apple, Microsoft, Facebook, and several leading brands such as Starbucks have already introduced AI-powered algorithms and applications to serve their audience more individually in a tailor-made way. In the time to come offering highly custom-made customer experience will play a vital role in the success of most mobile apps.


The impact of AI has been so massive and era-defining that no app development company can undermine its importance in the design and development process. In 2019 and beyond, we can expect more global brands and startups to embrace AI for their mobile apps.