A leading property and casualty (P&C) insurance company aimed to predict customer attrition, both mid-term cancellations and end-term non-renewals, to increase its persistency ratio. Coforge implemented advanced machine learning techniques, including feature engineering, survival analysis, and ensemble learning models, to accurately identify high-risk customers and improve retention rates.