RetailComputer Vision

Reducing Retail Shrinkage by 67% with AI Video Analytics

6 months
8 engineers
Client: NovaMart Retail Chain
67%
Shrinkage Reduction
Reduction in total inventory loss
94.2%
Alert Accuracy
True positive rate for theft alerts
₹54Cr
Annual Savings
Annual shrinkage cost savings
150
Stores Covered
Simultaneous stores monitored

!The Challenge

NovaMart's 150 store network was losing ₹80 crore annually to shoplifting, internal theft, and undetected operational inefficiencies. Manual CCTV monitoring was reactive rather than preventative.

Our Solution

We deployed a real-time AI video analytics platform across all 150 stores using YOLO-based object detection, behavioral analysis, and anomaly detection. The system detects theft behaviors, alerts store staff instantly, tracks employee compliance, and provides operational heat maps for store layout optimization.

Technology Stack

YOLO v11DeepStreamNVIDIA JetsonOpenCVFastAPIAWS

We went from catching shoplifters after the fact to preventing theft in real time. The system paid for itself in under 3 months.

Vikram Rathi
Head of Loss Prevention, NovaMart
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