ScanWatch Introduces AI-Powered Article Protection

ScanWatch Introduces AI-Powered Article Protection


CEO of ScanWatch Saulius Kaukenas

ScanWatch – the creator of AI-powered Crime Predictor loss prevention software program for SCO – is introducing AI software program for full retailer safety monitoring.

At the moment the checkout space additionally serves as a safety gate. But with the rise of recent buying ideas, a holistic always-on article safety framework is required”

— CEO of ScanWatch Saulius Kaukenas

KAUNAS, LITHUANIA, October 5, 2023 /EINPresswire.com/ — ScanWatch – the creator of AI-powered Crime Predictor loss prevention software program for self-checkouts – is introducing AI software program for full retailer safety monitoring. As a substitute of focusing solely on the checkout space, the software program can determine what objects a specific shopper has picked up from the shop shelf.

The brand new software program is at the moment being examined in a semi-autonomous retailer setting. Within the preliminary trial the software program had managed to chop the theft charge by 42.02%.

Using solely the shop’s present video safety cameras, this system tracks the patron’s actions by way of the shop, noting the objects the patron takes from the cabinets and locations into the buying cart or basket. This system then compares this data to what the patron truly scans on the checkout to see if all of the objects taken from the cabinets have been paid for.

“For example, a consumer would possibly decide up three packs of cheese and a bottle of wine however would possibly solely scan and pay for the cheese on the checkout. This system would routinely and in actual time notify a retailer worker in regards to the discrepancy or an alarm would sound earlier than the patron left the shop. This system can be built-in with safety gates, which might keep shut if not all of the objects have been paid for,” defined the CEO of ScanWatch, Saulius Kaukenas.

The product is totally compliant with GDPR necessities: no biometric or different private information is used for shopper identification, and nothing is saved after the client checks out.

Within the phrases of Mr. Kaukenas, this answer goals to enhance the standard digital article surveillance framework, the place objects are geared up with safety tags or offered on locked cabinets.

“Conventional EAS frameworks require vital {hardware} and human investments. Lately, we have now seen safety tags put in on increasingly more product classes, together with frequent meals or family items, requiring extra man-hours and elevated prices to manage the tagging. This doesn’t scale: hardware-based product safety is not the reply,” mentioned Mr. Kaukenas.

Based on Mr. Kaukenas, retail safety up till now has been a compromise between comfort and loss prevention.

“With our new AI primarily based program we don’t must compromise. The EAS tags aren’t used, which reduces value for the shops, however anti-fraud measures are maintained if not enhanced, and the client expertise stays easy. This method additionally helps to cut back the waste of EAS tags.”

The brand new product is present process real-world trials in a semi-autonomous European retailer setting. The arrival of recent buying ideas, together with ‘Scan & Go’ or unmanned shops, calls for brand new designs in retail safety infrastructure.

“At the moment the checkout space additionally serves as a safety gate. But with the rise of recent buying ideas, a holistic always-on article safety framework is required,” added S. Kaukenas.

ScanWatch product choices at the moment embody AI-powered apps to stop checkout fraud and streamline the self-checkout person expertise. Crime Predictor visually inspects each merchandise scanned on the self-checkout and compares the scanned picture with the product database. It detects barcode switching, no-scan, no-pay eventualities, in addition to mis-scanning of unpacked objects (e.g. choosing cucumbers as a substitute of avocados). In real-world operational settings, it has been confirmed that Crime Predictor can detect 90% of tried self-checkout fraud.

One other firm product, Picklist Assistant, routinely identifies scanned unpacked merchandise corresponding to fruit, greens, or baked items, thus eliminating the necessity to manually choose the product from a menu.

In 2023, Baltic retailers reported a threefold enhance in theft-related retail losses. Based on the ECR Retail Loss survey, the losses because of theft have elevated by 33% in comparison with pre-pandemic ranges. The British Retail Consortium states that the retail theft charge this 12 months has grown by 28 p.c. Many main US retailers additionally drew consideration to rising shrinkage of their Q3 investor calls.

In response to growing retail theft, main networks are deploying ScanWatch’s merchandise within the Baltic States, Poland, Germany, and North America.

ScanWatch is a product spinoff from a number one Baltic software program improvement home Agmis.

Mantas Miksys
Agmis
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Crime Predictor prevents 90% of self-checkout fraud eventualities