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.

Improving data collection, storage, and reporting using tools like Segment, BigQuery, and Looker, allowing for comprehensive and advanced insights for the e-learning platform.