UC-048
Loss & Waste Intelligence
Flags shrink anomalies in real time from existing systems, cutting detect-to-fix from 30 days to under one with no new hardware.
22-36Build Duration
11-28xIndicative ROI
The Challenge
Shrink from theft, waste and receiving discrepancies is only detected monthly through stock counts. Conventional camera-based solutions need expensive new hardware.
How It Works
- Uses graph-attention models to learn normal operations and flag deviations in real time.
- Detects unusual refund clusters, receiving discrepancies and shift-correlated shrink.
- Repurposes the existing employee app as a computer-vision damage detector.
What It Removes
- Waiting on a monthly stock count to see shrink
- Capex on new loss-prevention camera hardware
- Refund and receiving anomalies going unnoticed
Input Data RequirementsTransaction and refund records, receiving and stock-count data, shift rosters, existing employee app
Output FormatReal-time shrink alerts, refund and receiving anomaly flags, in-app damage detection
“We see the loss the day it happens instead of a month later, and we did not buy any cameras.”