Churn prediction model for business customers that identified potential churners with higher precision than the client’s existing model, achieving a 15-20% improvement in accuracy.

Smart reporting with pattern analysis, anomaly detection, and forecasting, providing impactful insights for better decision-making in online retail.

The existing approach relied on a static Excel workbook that was limited in flexibility, accessibility, and scalability.