National RetailerRetail
Retail Computer Vision — 200 Branches
Computer vision AI across 200 retail branches
Challenge
A large retailer needed automated store analytics, product interaction tracking, and loss prevention across 200+ locations. Manual monitoring was not scalable.
Solution
Computer vision system for in-store analytics, customer interaction tracking, shelf monitoring, and theft detection — deployed to edge devices at each branch.
Technical implementation
Edge deployment with real-time inference, biometric processing, multi-branch orchestration layer, centralized analytics dashboard, and automated alerting.
Outcome
System rolling out across 200 branches with measurable reduction in shrinkage.
Business impact
Locations with the system report improved shelf accuracy and reduced theft. The retailer can now monitor all branches from a single dashboard.
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