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← All case studies
Retail
+18% product availability with shelf-image analysis
Computer vision that analyzes shelf photos from stores to catch out-of-stocks and misplaced items.
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The problem
Manual shelf audits caught stockouts hours or days too late, costing lost sales across the store network.
The solution
We deployed a fine-tuned detection model over store photos, streaming stockout and misplacement alerts to store-ops dashboards.
+18%
Product availability
150+
Stores monitored
−70%
Audit time
Stack
YOLOv8
ONNX Runtime
Edge TPU
MQTT