Customer Rentention and Profitability Analysis for the Banking Sector Using Machine Learning

Customer churn represents one of the most consequential operational challenges facing modern banking institutions. As fintech alternatives and neobanks continue to erode traditional customer loyalty, banks require predictive systems that go beyond historical rule-based triggers. This paper proposes an end-to-end, AI-driven framework that integrates supervised churn prediction, Customer Lifetime Value (CLV) estimation, and behavioral anomaly detection within a unified operational pipeline. The sy