Case Study: 120-Store Convenience Chain Cuts Shrink 31%
De Flow AI Team
Customer Case Study
120-Store Convenience Chain
Cuts Shrink by 31%
By De Flow AI Team
The Challenge
A 120-store convenience chain was battling shrink running well above the segment average. Losses were spread thinly — a few packs here, a skipped scan there — making them nearly invisible to manual review. Their existing CCTV captured everything but surfaced nothing; footage was only ever watched after a known loss.
"We had cameras in every store and visibility in none. We needed the footage to tell us when something was wrong — not just record it."
🚀 The Rollout
Pilot — 10 stores
Remote-connected to existing cameras and POS; baselined normal patterns and tuned alerts.
Scale — 60 stores
Validated pilot results, trained district managers, and rolled out region by region.
Complete — 120 stores
Full network live with a central dashboard and cross-store alerting.
📊 The Results
| Metric | Before | After |
|---|---|---|
| Shrink rate | 2.3% | 1.6% |
| CCTV review hours/week | 320 | 95 |
| Avg case build time | 2.5 hrs | 20 min |
| Annual shrink loss | $3.6M | $2.5M |
"We expected a slow grind. Instead we saw movement in the first month and a 31% shrink cut by the end of the year. The fact that it ran on our existing cameras sealed the decision."
— VP of Operations, regional convenience chain
Want results like these?
See how a phased rollout could work across your store network.
Start Your Pilot →