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.
TBDBuild Duration
XXXXIndicative ROI
XXXXBuild Cost
XXXXValue
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.”