Prediction and estimation of next demands of cloud users based on their comments in CRM and previous usages

Abstract

Today, IT technologies and the internet are become an essential factors in human life's. The demands level of the users are growing extensively, they need more generic software and hardware services, also they need, security in their processes and data transfers, dynamic accessibility, swift processing and also saving more money in their works. In this paper, we want to present new method for estimating and predicting the next user demands, and provide those services before direct request of the users. Our algorithm is based on Kalman filtering, and it used background usages of the users along with their suggestions in CRM section to be able to predict their next needs. By providing the next needs of the users, before their request, we can improve the level of customer satisfaction and also earn more money via suggesting the new software and applications. © 2018 IEEE.