Loss prevention, built into every lane

Recorded in store: a non-scan is detected, the shopper is prompted, the item is recovered.

Shrink is not one problem. It is a dozen small failures repeated thousands of times a day, most of which nobody sees until the stock count. Edgify catches them at the moment they happen, while the shopper is still at the lane.

What it detects

• Non-scans: item enters the bagging area with no corresponding scan
• Barcode switching: a cheaper barcode presented for a more expensive item
• Mislabelling: wrong PLU selected on a self-service scale, deliberately or not
• Items left in trolleys: bottom-of-basket goods never presented
• Sweethearting: suspicious assisted transactions at staffed lanes

How intervention works

Detection without intervention is just reporting. Edgify closes the loop on the device: the shopper sees an on-screen prompt to re-scan, or an attendant is alerted, before the transaction can complete. Most events resolve without human involvement and without accusation.

Measuring it

Every intervention is logged with its outcome, so prevented loss is reported as a number rather than asserted as a benefit. In production, Edgify recovers 85%+ of the retailer loss it is deployed against.

Pilot on hardware you already own

A 12-week pilot runs on your existing self-checkouts and lanes. No new terminals, no server room, no rip-and-replace. That is the whole point: the objection to in-store AI has always been capital cost, and there isn't one here.