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Mobile App and AI, a match hard to ignore!

With the growing number of apps in the marketplace, the competition for quality application has intensified. This is why businesses are now looking for a technology that can create well-tailored mobile apps that keep users connected to your services or products. Thus, AI in mobile development has become a preferred option to offer personalized user experience.

Various ways AI can improve mobile app development and user experience:

User engagement: Most mobile apps fail due to their lack of user engagement. AI is currently being used to analyze user behavior to provide insight for the user. AI can tell mobile apps what users are looking for and how they are using their apps. Mobile developers can use this information to make changes for better user engagement.

AI helps making a better decision: AI can analyze large bits of data that humans can’t. Imagine there is a large sum of data on the feedback of users on the app. You can technically make a program to read all those feedbacks. But AI can change the game by reading them in a more comprehensible way and give developers a much better conclusion. This can later be used to make a well-informed decision.

Personalization with AI: Mobile is already marketed as personalized for each user. However, most apps are the same for everyone. There isn’t much personalization on an individual level. AI has boosted user experience by personalizing their apps according to the user. First it records user behavior and then changes their app or suggests change according to the user usage for a better experience.

Context-driven user experience: A mobile can sense your location, but it doesn’t change the user experience to a large extent. But an AI-based algorithm can use the user location, along with several vital aspects, and then come up with user-centric messages and recommendations.

Better user connectivity: As AI can analyze large amounts of data, mobile apps can connect with users on a deeper level. They can store the user’s behavior and give users more control over it themselves. Apple’s Siri and Amazon’s Alexa are already in the process of doing so. Things will only go up from here for AI.

Empowers Real-Time Translation: There are so many translation apps which enable language translation. However, most of these apps do not work without the internet. AI could enable your smartphone to translate different languages in real-time without the need for an internet connection.

Enhances Search Engines: There is a step ahead from voice search mode. You saw something that you would love to buy, but don’t know what it is called or how to find it. Visual search helps you find what you want even when you don’t know the words to describe it. The smartphone is the best launch pad for visual search technology. An example of this is Google Lens.

In some cases, visual search is more accurate and faster than a voice or a text search. Due to integrated AI in mobile applications, android developers are bound to develop image and voice recognition systems. To increase conversion rates, AI will provide localization of applications.

Improved Security with Face Unlock: Face Unlock was launched in September 2017 by Apple. Combined with Apple’s elaborate hardware, Apple iPhone X uses an AI-based algorithm for its face unlocking system. Using AI processing, the phone can easily identify the user’s face even with facial changes, such as a beard.

Recently, Google announced radar-based, hands-free gestures to face unlock. With its hands-free system, unlocking the phone would be easier, faster and secure. It claims that it can unlock the phone almost in any orientation.

AI technologies for Mobile App:

Automation: Mobile App development is a very long process; coders have to spend hundreds of hours coding the same thing. AI will ease this pressure by establishing infrastructure for coders to work on. In simple terms, it will help developers to test mobile apps more efficiently and maximize quality assurance by investing less.

Machine learning: This is a technology in which machines act without programming. They do this by analyzing previous experience and then predicting the move.

Machine vision: AI is used to giving a machine the capability to capture and analyze visual information. AI can see and listen to things just like a human, then analyze and react according to the information. The AI-powered app can see and listen to things like facial recognition features integrated with machine vision to understand the world better.

Chatbots: These are AI-powered robots which can interact with users in a way that human can. They learn from previous experiences. The basic idea behind this is that if humans don’t want to interact with anyone other than humans, they can use these chatbots. Some famous AI-powered chatbots are LivePerson and Bold360.

Voice recognition: Now, we have many mobile apps that use AI to recognize your voice. You can even unlock or give commands using this feature. Apple is the pioneer in this field as it has integrated Siri with Apple mobile devices for a very long time. She can recognize your voice and personalize the phone on its own for better user experience.


The impact of AI on mobile app development and user experience is significant. However, the integration of AI with the mobile app is still in the early stages. There is a lot that can happen here. Your entire user experience can be shaped using AI and then used in different mobile apps. We all have to see where AI can take mobile app development and user experience.

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