We live in a highly technology-driven world. Thanks to AI, machines, big and small, have made the daily lives of consumers significantly easier, to the point where people are willing to switch between apps and brands within minutes if their needs aren’t satisfied.
To satisfy the growing demand of users, mobile app and Artificial Intelligence have become a common pairing in app development. This article presents four areas where AI can help you develop a mobile app from scratch in ways that engage users, increase cybersecurity, and boost sales.
Four revolutionary ways AI can enhance an app
Depending on what is the main purpose of your app, you can implement one or several of the following areas.
Make shopping more personal
A personalized experience is key to customer retention and engagement. In fact, as many as 48% of customers will spend more money when their shopping experience is personalized. With AI, traditional segmentation, which often is a manual process, can be replaced by a smart algorithm that continuously learns about users.
The use of AI for personalized recommendations has tremendous financial potential. For retail apps and apps with in-app purchases, they can account for as much as 68.4% of the total sales.
One of the best examples of a personalized recommendation is Spotify’s weekly tailored playlists. No playlist is the same because it’s based on what each user has been listening to lately.
Search can be as easy as snapping a picture
Cart abandonment is an ongoing issue for many ecommerce companies. Worldwide, the average cart abandonment on mobile is 85.65%, and it’s driven largely by the inability to find the right products.
AI has the ability to improve search results significantly by understanding and anticipating the motivation behind each search that goes way beyond just keywords. It analyzes not only the search words used, but also the customer’s past searches and preferences, and current relevant events.
For example, this means that two women, one who is 20 and one who is 50, both searching for “formal dress” will get different products in their search results.
AI can also help when words fail to describe something: image search. In 2017, Pinterest pioneered this feature by allowing users to take a picture of anything they want, and search through the whole database for related images. The algorithm “looks” at the photo and recognizes each detail, down to color, size, and texture.
Uncover new features
AI’s ability to understand and learn behavior patterns of app users can also be used to drive the future development of the app.
The behavior patterns of users and any deviation from them can help determine whether there is a UX/UI problem that needs to be addressed, or if it’s simply a change in the general usage. Change in use patterns can also help create new user stories to be used for future features.
Additionally, AI algorithms can suggest the best times to send notifications and emails asking for feedback or app review. This can provide additional information to improve and develop mobile app even further, or simply increase its ranking.
Increase the security of the app
AI can make the authentication process of your own mobile app easier and more secure. Unlike traditional authentication processes, AI relays on biometric data, such as face patterns, voice recognition, fingerprints, and iris scanning.
Such data is unique to each user, which makes it near impossible to replicate (even using modern technologies). Only the real user can provide the biometric data, thus significantly decreasing the chances of fraud.
For the user, the use of biometric data results in smoother user experience, because there is no need to remember passwords or answers to security questions.
These four use cases of AI can be a guide on how to develop mobile app that offers a smooth user experience to the customers and increases sales. To start, there is no need to implement all four areas at the same time, but it’s advisable to incorporate as many as possible over time.