AN EXPLORATORY STUDY ON THE COMPONENTS OF AI IMPACTING CUSTOMER RETENTION IN TELECOM INDUSTRY
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Abstract
Consumer behavior in the mobile industry, particularly consumer behaviors, has become a prominent marketing research topic. Every consumer has distinct life experiences that influence their shopping decisions. Age, employment, lifestyle, personality, and self-concept are social and personal elements that can affect a buyer's final selection. Based on tests performed on data collected, several outcomes were discovered. In this research, the participants were chosen using the technique described, and their data were analyzed using descriptive and inferential statistics. The Chi-Square test was used to investigate the relationship between companies and their usage of optimal service techniques. According to the study's findings, AI-powered solutions may aid organizations in encouraging customers to take action at each stage of the user life cycle.
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