When cashiers give away merchandise to a customer (friend, family, fellow employee) by the fake scan of merchandise by the cashier, the cashier is “sweethearting”. This is the most common form of employee theft, and ScanItAll™ is the first ever solution able to detect it.
ScanItAll™ alerts store management the very first time a cashier produces a loss, rather than months or even years down the road, significantly reducing inventory shrinkage, deterring future theft, and boosting profitability.
Self-Checkout Loss Detection
Retailers put in self-checkouts to reduce labor costs, but in the process also create a significant exposure from an inventory shrinkage perspective. StopLift has adapted its groundbreaking video analytics for cashier checkouts to be applied to self-checkouts as well. StopLift’s video analytics proactively monitor the self-checkouts to detect the various forms of theft specific to self-checkouts and alert store personnel accordingly.
Basket-Based Loss Detection
Items left in a customer’s cart are often overlooked by the cashier. This type of shrink can be hard on a store’s margins, since a single basket-based loss is often a large and costly item. For a grocery or retail chain, a single loss per day per store can drive thousands of dollars of loss.
Without the need of any additional infrastructure, ScanItAll uses existing overhead cameras to immediately detect unscanned items left anywhere in the cart, whether Bottom-of-Basket (BOB), Middle-of-Basket (MOB) or Top-of-Basket (TOB).
View any transaction, time period, or camera in your store directly from the cloud. View your cameras live, look up historical video to go along with transaction data and more. No more sifting through videos for hours - find exactly what you're looking for quickly and easily with Video on Demand.
This type of theft has been costing the retail industry about $13 billion a year and, before StopLift technology became available, there had been no way to detect it.
Mark GaudetteDirector of Loss Prevention, Big Y Supermarkets, Springfield, MA
We calculated that we would achieve ROI within two months of implementation.
Doug HaworthDirector of Loss Prevention, Woods Supermarket, Sedalia, MO
Sweetheart of the Month
Every month, we take some of the best examples of checkout theft we catch and publish them in our Sweetheart of the Month video newsletter. See sweethearters at work in actual incidents detected by StopLift. Self-checkouts are no exception - we catch every type of theft at the register and you can see prime examples in our monthly newsletter.