Camera system analyzing shopper behavior.
Key Outcome
ShopSmart wanted to optimize their store layouts based on actual customer behavior rather than intuition, using their existing security camera infrastructure.
Store layout decisions were based on guesswork, leading to suboptimal product placement and cold zones where merchandise sat unseen. They lacked data on how customers actually moved through the aisles.
We implemented a computer vision system using YOLOv8 to analyze video feeds from existing CCTV cameras. The system generates heatmaps of customer foot traffic, dwell times, and queue lengths without storing personally identifiable information.
The precise tech stack engineered to deliver this solution.
Data-driven layout changes increased sales by 15%. High-margin products were moved to "hot zones" identified by the AI, and staff scheduling was optimized based on queue length analysis.