Description of Invention
Customer churn is a critical issue in the e-commerce industry, affecting profitability and long-term sustainability. This project aims to develop a predictive model using machine learning techniques to identify customers at risk of churning. By leveraging historical transaction data, behavioral patterns, and engagement metrics, the study provides insights into churn factors and potential intervention strategies.