Mobile apps represent the nucleus of technological revolution thanks to ascending consumer demands for instantaneous access to online information. Businesses have therefore taken a more personalized approach in offering their products and services to consumers. Artificial Intelligence (AI) leverages this, especially in mobile app development, with its ability to analyse vast amounts of in-depth complex data and identity key aspects of human behaviour.

The global AI market was worth $7.35 billion in 2018, where the largest portion of revenue was stirred from enterprise applications. The limitless applications of AI are expected to catapult the market to $89.84 billion by 20251. Mobile app development is set to acquire a major bulk of this market worth considering the increasing dependency of the 4.68 billion users on mobile apps.

Let us further understand the applications of AI in mobile app development.

Delivering personalized content

Considered as the easiest yet best use of AI in mobile apps is its ability to offer personalized content for users. Its machine learning capabilities help observe user decisions, interests, preferences, and behaviour allowing applications to provide them with preferable suggestions. For instance, Netflix uses AI to provide recommendations and matches according to past views and user interest. Similarly, a fashion retailer can also embed machine learning systems in their apps to showcase better apparel choices according to past shopping journeys.

Automated reasoning

Another powerful application of AI is automated reasoning. This is however more complex as it requires various algorithms working simultaneously for enhanced and on-the-go problem-solving. An example would be Uber’s AI automated reasoning application in discovering the most efficient directions in terms of time, traffic, and even fare for public transport.

Image and voice recognition

AI’s image recognition ability can be used in a plethora of ways by discovering faces and objects in digital pictures as well as videos. Some of these include diagnosing maladies, identifying license plates, and confirming users by their appearances for payments and other important processes. Similarly, AI has the ability to recognize human speech. Apps can be embedded with conversational AI to address consumers’ queries and provide them with relevant information.

Chatbots

Various mobile apps have also included AI-enabled text based chatbots for easy and enhanced consumer service. While it allows human resources to focus on more complex work assignments, it tirelessly replicates human responses intended for consumers in a quick and efficient manner.

UX/UI Personalization

Apart from analysing usage data for service, product, and content delivery, it is possible to personalize mobile app user interface experiences through AI algorithms as well. It helps display offers and information suitable to differing consumer profiles and thereby make the experience more user-friendly. AI’s ability to offer ease in user experience is what keeps audiences coming back to a mobile app. In addition, AI makes it easier to predict buyer behaviour, persona, and their search cycles on the particular apps.    

In conclusion

A vast majority of companies have merely begun to scratch the surface in terms of understanding the possibilities of AI. The integration of AI’s applications in mobile apps will become a key differentiator between companies in providing users with personalized, customized, engaging, and easy experiences. It would be advisable for companies to aboard the AI bandwagon sooner rather than later to acquire an edge over competitors.