Self-checkout moved scanning into the shopper's hands, and loss followed. Scandit’s Self-Checkout Loss Prevention Solution uses real-time vision AI to detect the patterns behind most self-checkout loss as it happens, and lets shoppers correct honest mistakes themselves before an associate needs to step in.
What you'll see
- How vision AI spots a missed scan the moment it happens, on the camera at the lane
- A soft on-screen nudge that lets the shopper rescan, with no associate involved
- An item left in the basket, flagged before payment
- A walkaway escalated to an associate with a short video clip to verify
Key features
- Real-time detection of the three patterns behind most self-checkout loss: missed scans, items left in the basket, and walkaways
- Soft-nudge self-correction that keeps the lane moving
- Escalation configurable to your policy: nudge only, associate alert, or video-backed review
- Item-based detection, with no facial recognition or biometric identification
- Software-first, running on a per-station unit that works with existing cameras, with no in-store server and scalable from small store formats to hyperstores..
- Privacy by design. The solution processes video on the station and is designed to support retailers in meeting their GDPR obligations. Scandit is ISO 27001:2022 certified.
Why it matters
Retailers recover or deter more than 75% of self-checkout losses, keep checkout frictionless for shoppers, and free associates for higher-value work.