International Journal of Engineering Technology and Management Sciences • Vol 9 • No 2
Artificial Intelligence Tool For Churn Prediction Model and Customer Segmentation
January 2025 • A. Chandra Sekhar, J. Vignesh, C. Nabi Harshad, G. Mohammad Shaheed, D. Sreekanth, P Manivannan N L Narasimha Reddy, Aleti Vardhan
The telecommunications sector has experienced remarkable expansion over the past few decades,driven by rising competition, rapid technological advancements, and ever-changing customerexpectations. To remain competitive in this evolving environment, telecom operators must prioritizecustomer retention and the delivery of personalized services. Two of the most pressing challenges inthis context are churn prediction and customer segmentation. Churn prediction involves identifyingsubscribers who are at high risk of dis…