Comparison of mobile interaction management products using systematic literature review method and a new product suggestion

Because of innovations and improvements in technology, the use of smartphones that make it easier for users to work has become widespread. At this point, companies can reach their customers more easily and can communicate continuously. Once mobile applications are created, the system infrastructure needs to be improved in response to changing needs and demands to actively retain registered users and continually capture their insights. In this case, a dynamic framework that will create user profiles in a mobile application and provide services according to different user needs. In this study, the main features of the mobile interaction management applications on the market and other features they provide to create a loyal user base have been evaluated using the Systematic Literature Review (SLI) method and the necessary gaps have been discussed. In order to acquire loyal mobile-app user, Machine Learning support system is proposed as solution.