StopLift Detects 2MM of Unscanned Items at Checkouts, Boosting POS Revenue #NRF17

Self checkout Accelerator screenshot purse alert

StopLift Checkout Vision Systems has now detected nearly two million incidents of scan-avoidance at both manned and self-checkouts, boosting POS revenue assurance at retailers in the U.S. and around the world. 

StopLift’s Scan-It-All™ video recognition technology has confirmed nearly two million incidents, which include “sweethearting”, when cashiers pretend to scan merchandise but deliberately bypass the scanner, thus not charging the customer for the merchandise.  The customer is often a friend, family member or fellow employee working in tandem with the cashier.  Many scan avoidance incidents are also caused by customers using self-checkout.

Self-checkout theft and other scan avoidance has been up to 5 times higher than manned checkout, according to Malay Kundu, Founder and CEO of StopLift.

See real scan avoidance incidents – and a realtime incident counter at, and at NRF Booth 4509.

StopLift’s patented Scan-It-All video analytics technology visually determines what occurs during each transaction to immediately distinguish between legitimate and fraudulent behavior at the checkout. As soon as a scan avoidance incident occurs, StopLift, which constantly monitors 100% of the security video, flags the transaction as suspicious.  It quickly reports the incident, identifying the cashier or customer and the date and time of the theft.  This includes incidents which may be due to mistakes by the cashier or customer at self-checkout as well as items left in the shopping cart.

Retail chains can now receive realtime reporting on self-checkout theft and other scan avoidance, prevent false alerts and interventions, alert the attendant before the customer leaves the store, and improve customer service at the self-checkout with StopLift’s new Self-Checkout Accelerator

“Retailers always suspected that self-checkouts would be highly prone to scan-avoidance, and our technology has certainly found this to be the case,” Kundu said.  “Furthermore, using the incidents detected from their own stores, retailers are now able to train staff on the signals indicating when customers are either having problems using the self-checkout or are exhibiting suspicious behavior.”

StopLift Sweethearting Retail GoodsDishonest associates are identified on the basis of video evidence the first time they conduct a fraudulent transaction, rather than months or even years down the road, significantly reducing inventory shrinkage, deterring future theft, and boosting profitability.  Likewise, dishonest customers are identified at the self-checkout.

“The system never sleeps.  It lets me sleep,” said Piggly Wiggly owner Keith Holley of Alabama.

The technology eliminates costly, time-consuming human review of video, drastically reduces and deters fraud at the checkout, and significantly improves profitability, Kundu said.  Rather than take a one-size-fits-all approach, StopLift develops targeted applications to address the specific needs of retailers from different sectors including general merchandise, grocery, and specialty retail.

Scan-It-All works with existing off-the-shelf overhead cameras.  No special camera equipment needs to be purchased or installed, and no changes have to be made to the checkout. 

The U.S. National Retail Federation states that retail shrink was $44 billion in 2014 and about $14 billion of that is due to scan-avoidance.  Supermarkets, with their lower profit margins, are particularly vulnerable to scan-avoidance, which has accounted for an almost 35% profit loss industrywide. 

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