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.

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

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