Real-time retail insights achieved through computer vision on edge devices, enabling person and face detection, demographic profiling, and pose estimation.

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.