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.

Faster and wider information retrieval, intuitive user experience, reduced customer support pressure, increased customer satisfaction, and growth in new monthly users.