When No One Is Watching – Combating the potential of theft at the self-checkout, by Craig Guillot

Self-checkout offers a “built-in excuse” if an associate catches perpetrators in the act, says Malay Kundu, founder and CEO of checkout software platform StopLift.  His ScanItAll Self-Checkout AI technology uses artificial intelligence to analyze and compare point-of-sale video and data to clearly identify each retail transaction and spot fraudulent activity.

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StopLift AI Loss Prevention Technology Used in Australian Checkouts

StopLift CEO Malay Kundu says that his scan avoidance technology is being used at manned and self-checkouts at retail stores, supermarkets and specialty stores throughout Australia. Up to one out of five items at the self-checkout are not scanned. Shoppers often leave expensive items in a reusable bag while scanning cheaper items. There are many other ways shoppers avoid scanning their purchases at the self-checkout.

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New Technology in Australian Supermarkets & Retailers Catches Would-be Thieves

Reporter Sophie Elsworth explores new technology being piloted in Australia, which can distinguish when a customer scans items incorrectly at the checkout.

The technology has been created by US company StopLift and has been in testing phase since starting late last year.

Chief Executive Officer Malay Kundu said it had so far “found a fair amount of theft and loss at both manned and self-checkout consistently across various locations in Australia.”

“Our algorithms are analysing that material continuously so it’s able to watch all of that video footage and compare that with transaction data,’’ he said.

The vision is monitored using artificial intelligence to catch out thieves.

Alerts are also sent to staff monitoring self-serve check-outs via a mobile device when customers are incorrectly scanning items or not scanning them at all.


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