Predicting customers with higher probability to purchase in telecom industry

Abstract

Understanding customer insights, predicting their next steps, and making accurate recommendations have become a significant issue for customer service organizations in today's world. With the widespread use of important technologies such as Big Data Analytics and Machine Learning, the contribution of Artificial Intelligence to digital transformation in the industrial world has significantly affected the way businesses work. The use of Artificial Intelligence technologies in business processes has increased the success ratio of marketing strategies, business models and sales statistics. Companies that provide customer services have units responsible for CRM, as known as customer relations management. Big Data accumulated and analyzed by CRM units can be modeled with artificial intelligence algorithms for customer centric use cases. Thereby, outcome of such an approach guide the customer strategies built by companies. In this article, studies on the business analytic-based understanding of customers with high probability of purchasing by training the CRM data used in the telecom industry will be included.