A 22-store retail chain replaced a drowning-in-alerts CCTV model with verified AI surveillance — and slashed shrinkage, eliminated wasted guard dispatches, and reclaimed loss prevention team time.
Pacific Retail Group's loss prevention team was drowning. Their existing CCTV system across 22 stores was generating over 300 alerts per week — the vast majority of which were false positives triggered by normal customer behaviour, staff movements, or lighting changes. The loss prevention team spent several hours each day reviewing footage and chasing down non-events, leaving little time to focus on genuine shoplifting incidents. Shrinkage was running well above the industry average, and there was no consistent reporting framework to track loss prevention performance across stores. Manual footage review after suspected theft incidents typically took 2–4 hours per event. The team needed a solution that would give them only verified, actionable incidents — and free up time to act on them.
ImageDeep was rolled out across all 22 Pacific Retail Group locations using the existing camera infrastructure — no new hardware was purchased. The Shoplifting Detection Agent was configured for each store's specific layout, flagging suspicious concealment behaviour and repeated dwell patterns. The Queue Analytics Agent was enabled to provide footfall intelligence and store performance data. All AI detections were passed to trained human operators for verification before any alert reached the loss prevention team — collapsing 300+ weekly false alerts to under five genuine incidents per week. Automated daily loss prevention reports were configured to deliver every morning, giving store managers and the central loss prevention team a clear, consistent view of performance. The entire deployment was completed across all 22 locations within five days.
We went from hundreds of CCTV alerts a week to 3–4 genuine incidents. The ROI was clear within a month.
Zero false alerts. 34% average shrinkage reduction. No new hardware.
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