People Analytics for Retailers

Business Use case

This solution helps retailers to improve in-store performance with accurate foottraffic data.
Using this, you can optimize conversion, staff productivity, and morewith real-time
integration.

Client

Computer Vision giant in the Bay Area.

Deployed in production at over 1100+ locations in the US, and EU. Customersinclude retail
shops, malls, fashion brands, and 2 of the top 10 biggest retailcompanies in the world.

Use cases solves

1. Person Detection: Detect the number of people passing by in the stores.
2. Person Tracking: Track cross-store conversions. For instance, a person going infromNike store to Reebok store.
3. Employee Classification: Determine if the employees are assisting the customersin allthe areas.

Technologies Used

TensorRT, CUDA-X, PyTorch, Python, C/ C++, Kafka, Django, Flask.