Since future of mobile apps have become must-have components in the digital strategy of any business, no business can shy away from the mobile apps. But in spite of all these advantages, mobile apps are also not static and they are constantly evolving and this is presenting new challenges for the businesses to stay tuned. While making their mobile presence is important, it is equally important to catch the latest app design and development trends.
One of the greatest trends that is shaping the mobile user experience is the incorporation of intelligent technologies such as Artificial Intelligence (AI) and Machine Learning (ML). Both AI and ML are increasingly helping mobile apps to become more intuitive, proactive and responsive to user intents and user preferences. Thanks to AI and ML technologies, mobile apps can now offer more personalised user experience and intuitive user interactions.
Various market studies and statistics are already showing the rising popularity of the AI and ML technologies in mobile apps for providing a better user experience. As per the Statista.com, around 30% of startups and different enterprises across the size and niches are considering introducing AI and ML into their mobile apps to deliver a better app user experience. Naturally, AI and ML are very well becoming the competitive value additions for enterprise and consumer apps across the niches.
What exact values AI and ML technologies offer to the mobile apps? How do they make mobile apps better and ensure an enhanced user experience? Well, for the understanding of mobile app startups, here through the length of the post we are going to explain some of the most important ways AI and ML are going to impact the mobile app user experience.
Personalized User Experience
Personalised user experience has become the secret and most lethal weapon among the apps to win over the competition. Thanks to personalisation of the design elements and personalised contents and features many web and mobile apps achieved great user engagement and never-before business conversion through their apps. Naturally personalisation will continue to stay as a focus area among the mobile app developers and strategists all over the globe.
The artificial intelligence and machine learning technologies play a great role in creating more scope for personalised user experience. Let us have a quick grasp of the key ways AI pushes personalisation in app user experience.
- Thanks to AI the apps now can send their users personalised roductband content recommendations based on the user behaviour, preferences, interactions and intents.
- The apps can send the users highly personalized notifications based on the user intents, user preferences and specific user contexts.
- Thanks to AI users can also choose their required features for easy access while keeping other features hidden.
- The app designers can also allow the users to choose their preferred text font and app layout as per their resonance preferences. The users can also be provided the choices of dark and light backgrounds.
Utilising Cognitive Intelligence
The future of mobile apps are actually problem solving tools that users prefer using for solving specific problems in their everyday life and hence designing the app smarter to improve the app’s problem solving capabilities is always important. The effortless usage and access to the contents and features is what every ambitious app project tries to achieve and this is where AI and machine learning technology can play an important role.
Based on the user insights and predictive intelligence on user interactions and in-app behaviour, the mobile apps can be designed to address the typical cognitive facilities of the users with more precision. From purchasing a product on a mobile commerce app or booking a air ticket through a travel app or just browsing streaming video contents in a mobile app or making a financial transaction through a banking app, everywhere this cognitive intelligence powered by AI and ML technologies can be utilised and we can deliver a better user experience.
Improving Search Function Better and Smarter
If you look at the average time spent by the users on a single app, the vast majority of apps only get a very small share of this user attention while only a handful of leading apps get the most. On the other hand, in general terms, most mobile users have a very low attention span and it is increasingly decreasing as they intend to browse more in less time. This is why you just cannot make users wait for their required contents and functions and so, you need to provide users a very intuitive and faster search function to find anything they need within just minutes.
To make search faster and smarter, the predictive search function powered by machine learning technology can be very effective as an approach. Just think about Google Search making precise user-centric predictions most of the time and accordingly comes with most relevant search results against the search terms and search contexts. Such smarter and intuitive search functions can really transform the user experience of your mobile app.
Safeguarding Data From Fraudulent Practices
The concerns over data security is increasing rapidly as the number of mobile apps along with their multifaceted presence across the platforms are causing new security risks and vulnerabilities. Since an increasing number of digital transactions are being carried out through the mobile apps using the mobile wallets, safeguarding user transactions and data is of supreme significance. Moreover, user data now gained renewed importance as the raw material for delivering business insights and hence the vulnerabilities corresponding to user data are increasing.
To safeguard these volumes of user and transaction data across platforms with a secure technology, AI and ML are playing really proactive roles. The combination of AI and ML along with biometrics are creating personalised security solutions that future of mobile apps are finding to be more effective in safeguarding user data.
Enhanced Scope of Automation
In spite of fact that AI and ML are not replacing the humans in the enterprise processes and digital platforms anytime soon, thanks to AI and ML the mobile apps can minimise human intervention and facilitate automation for various tasks. Thanks to AI and ML understanding users and grabbing valuable data driven insights became easier than ever before.
By replacing the repetitive and mundane tasks the AI and ML are creating more scope for boosting productivity and utilising resources more accurately. Moreover even in certain complicated tasks, the role of AI is helping to improve the output.
Conclusion
In totality, both AI and ML technologies have appeared on the mobile app development space as the mighty precursor to a lot of benefits that are going to transform the future apps and their user experience. The role of AI and ML for mobile apps are only going to be bigger and larger in the years to come.
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