Retail Behavior Intelligence
StoreSense Pulse
Uses in-store camera intelligence to map attention, movement, and preference signals for stronger omnichannel decisions.
Overview
StoreSense Pulse gives physical retail the same behavioral clarity digital teams already have. Camera streams become anonymous analytics on gaze, movement, product checks, dwell zones, and item-level attention. Fast-fashion teams can see what customers really want before sales reports catch up. When policy allows, purchase events can connect to prior anonymous signals for a stronger omnichannel loop.
Challenge
Extracting reliable behavior signals in crowded stores while balancing real-time insight quality with privacy obligations.
Solution
Edge vision models with zone-based tracking, event stream aggregation, and policy-driven identity controls for compliant analytics activation.
Stack
- Computer Vision
- Edge AI
- Kafka
- Postgres
- Feature Engineering
- Dashboarding