Assisted Checkout Monitoring
How SAI gives loss prevention teams real-time visibility into manned checkout anomalies — without adding headcount or replacing existing infrastructure
The Lane Your Team Can't Watch Continuously
Staffed checkout lanes carry an assumption of oversight that doesn't hold up at scale. A cashier is present, so the transaction feels supervised. In practice, loss at manned lanes is deliberate, repeatable, and often invisible to floor staff until it shows up in inventory.
Sweethearting, skip-scanning, and misapplied discounts don't announce themselves. They accumulate. And because the behaviour happens at speed, in high-transaction environments, manual observation catches only a fraction of it.
The gap isn't staffing. It's the ability to monitor every transaction consistently, not just the ones someone happens to be watching.
How SAI Detects Loss at the Manned Lane
SAI monitors staffed checkout by correlating what happens physically at the lane with what the POS records. Every item handled at the belt is compared against the corresponding scan event in real time.
The system flags:
- • Items passed through without scanning
- • Items scanned but not bagged, or bagged but not scanned
- • Repeated use of void, override, or discount functions outside normal patterns
- • Transactions where item handling and register activity don't align
Detection runs continuously across every staffed lane, on every transaction. Flagged events are delivered to your LP team with video and the correlated POS record attached — ready to review, not reconstruct.
What Changes for Your LP Team
SAI doesn't replace your LP team's judgment. It gives them something to act on.
Instead of reviewing hours of footage after a loss is suspected, investigators receive specific flagged events with the evidence already assembled. Pattern analysis across cashiers, shifts, and locations surfaces trends that individual event review would miss — repeated behaviour from the same operator, the same lane, or the same time window.
Earlier detection means earlier intervention. That changes the economics of manned lane loss from a write-off problem to an operational one.
Part of a Broader Checkout Intelligence Picture
Manned lane monitoring sits within SAI's broader checkout intelligence platform. The same intelligence layer can also support use cases such as:
- • Aisle Monitoring
- • Store Safety
- • Queue Monitoring
- • Customer Journey Insights
- • Low Stock And Out-Of-Stock Visibility
A single platform covering the full checkout environment gives LP leadership a unified view rather than disconnected data from separate tools.
