The Significance of AI Enhanced Customer Feedback for Providing Insights on Customer Retention and Engagement Strategies for Mobile Companies

Abstract

An increasing number of people are interested in learning how artificial intelligence may improve the effectiveness of the company's automated service encounters with its customers. This study aims to lay the foundation for a theoretical framework that will explain how businesses and customers may use AI-enabled information processing systems to enhance the outcomes of both requested and unrequested types of online customer engagement. The goal of this essay, which utilises a Stimulus-Organism-Response theory paradigm and leverages the concept of AI systems as organisms, is to distinguish between requested and uninvited online consumer contact behaviours. These acts cause AI creatures to analyse customer data, resulting in responses from both computers and people that modify the circumstances of subsequent online interactions with these groups. The advent of both digital advertising and AI in the last few decades has had far-reaching effects on the global economy. Artificial intelligence (AI) is already embedded in many aspects of our society. It is also anticipated that marketing and public relations would make heavy use of AI. New product suggestions based on predicted user behaviour could be generated by this system. In addition, it simplifies the analysis of massive amounts of data, which would be extremely difficult to handle by hand. It can also be used to forecast consumer opinion about a company and its products in general. This study's overall objective is to outfit a total structure for directing portable media research tasks to support specialists' mission of productive versatile promoting.