AI Driven Customer Churn Prediction For Telecom Indusrty Using Machine Learning Algorithms

Authors: P.Sri Sai Srujan, I.Babeeswara Reddy, K.Vinay Raj, Mrs.Geetha C

Abstract: Customer churn is a major challenge for telecom companies as losing customers directly affects revenue. Artificial Intelligence (AI) and Machine Learning (ML) techniques can analyze telecom customer data and predict which customers are likely to discontinue services. This study proposes an AI-driven churn prediction system using machine learning algorithms such as Logistic Regression, Decision Tree, Random Forest, and Gradient Boosting. The model analyzes customer usage behavior, billing information, and service interactions to identify patterns associated with churn. The results show that machine learning models can effectively detect high-risk customers, enabling telecom companies to implement proactive retention strategies and improve customer satisfaction.