Machine learning (ML) is a leading technology that is constantly evolving to deliver users with a better and more personalised user experience tailored to their interests. However, its applications are not only limited to mobile applications but to wider areas, and it functions by analysing vast amounts of data to extract valuable insights. It is not only useful in serving customers as such, but it is also useful for businesses to get information about the best marketplace or scope of innovations. Integrating ML into mobile app development approaches can be instrumental in providing users with a personalised experience. From our experience as a mobile app development company in Kolkata, we are going to explore the role of machine learning in personalising mobile app experiences.
User profiling and segmentation
With the use of machine learning, it is possible to analyse a vast amount of data, such as demographic information about the users, user preferences, or past interactions, for user profiling and segmentation. This can help mobile app developers deliver personalised content or features as per the needs and preferences of their targeted audiences.
Real-time and predictive analysis
Real-time analysis is one of the most useful features and has an impact on Android development. ML is capable of analysing real-time data and making accurate decisions. The best example of real-time analysis is how Google Maps gives you information about the best routes by analysing real-world and real-time information. Similarly, mobile apps such as Uber, Ola, and other cab ride apps or delivery apps such as Amazon and Flipkart use the same technology.
Recommendation engines
Recommendation systems are another important and popular feature of ML integration into mobile apps. If you are a social media user, then I guess your social media platform recommends you discover known people, or if you are an online shopper, then always a product of your choice is at the top. This is because of the recommendation system powered by AI and ML. This accuracy is the success factor of ML, which has made it popular in recent years. This is done by analysing users’ past interactions, such as purchases, searches, or ratings, and from that, the application could suggest relevant products, services, or content as per your interests and preferences.
Content generation with ML
Content generation or strategizing content was a hectic job for writers and marketers, but with the introduction and evolution of AI, things have changed. Now, strategizing content has come to the fingertips, as AI can solve any problem by giving tonnes of ideas and solutions. However, with ML, things have gone an extra step as it has now become possible to generate content tailored to the preferences and interests of users. For example, a news aggregation app with the help of ML algorithms can create personalised news feeds for users as per their area of interest. ML can do this by analysing information such as the user’s past interactions, like the articles they read or feedback they have provided.
Predictive Analytics
ML is capable of predictive analytics, in which it can predict future results or scenarios by analysing past and current data. It helps mobile applications solve problems by providing relevant solutions that can be beneficial for the future. For example, cab booking apps use an ML algorithm to acquire information about peak demand and recommend relevant pick-up locations, ultimately ensuring quicker rides for users. In the same way, finance management apps can predict patterns to forecast future expenses and accordingly provide budgeting recommendations to users.
Esspesoft, one of the leading mobile app development companies in Kolkata, holds expertise in providing seamless mobile app solutions that can help your business grow. Our best mobile app developers in Kolkata can cater to your unique requirements with customised solutions tailored to the needs and preferences of your targeted audiences. We are experienced in developing stunning mobile apps for various industries and niches. With us, you can experience full transparency in communication, support, and guidance throughout and after the development life cycle. Visit our websites for more information on our services.