TELECOM CHURN PREDICTION USING MACHINE LEARNING ALGORITHM

Abstract

In any industry, customers are the most valuable resources because they are viewed as the primary source of revenue.The telecom industry has experienced intense competition recently.Retaining current telecom customers is less expensive than acquiring new ones.A telecom corporation must use customer relationship management (CRM) to comprehend customer attrition.As a result, CRM analysts must foresee which clients would leave.Customer churn is a significant issue and one of the top issues for big businesses.Companies are working to create methods to predict probable customer churn because it has a direct impact on their revenues, particularly in the telecom industry.In order to reduce customer churn, it is crucial to identify the variables that contribute to this churn.The use of telecom goods and services looks to be becoming more and more necessary in daily life, and as a result, the worldwide telecommunications market is expected to expand at an astounding rate in the years to come.Due to the constant breakthroughs and developments that occur frequently and quickly, the global telecommunications market is constantly changing.Customer loyalty is therefore a crucial aspect in the development of the telecom business.Telecom operators may uphold their principles in a cutthroat market by forging bonds with customers and establishing a foundation of trust that fosters loyalty.