Sam’s Club to test new Scan & Go system that uses computer vision instead of barcodes

In October, Walmart-owned Sam’s Club opened a test store in Dallas where it planned to trial new technology, including mobile checkout, an Amazon Go-like camera system, in-store navigation, electronic shelf labels and more. This morning, the retailer announced it will now begin testing a revamped Scan & Go service as well, which leverages computer vision and machine learning to make mobile scanning easier and faster.

The current Scan & Go system, launched two years ago, requires Sam’s Club shoppers to locate the barcode on the item they’re buying and scan it using the Sam’s Club mobile app. The app allows shoppers to account for items they’re buying as they place them in their shopping cart, then pay in the app instead of standing in line at checkout.

However convenient, the system itself can still be frustrating at times because you’ll need to actually find the barcode on the item — often turning the item over from one side to the other to find the sticker or tag. This process can be difficult for heavier items, and frustrating when the barcoded label or tag has fallen off.

It also can end up taking several seconds to complete — which adds up when you’re filling a cart with groceries during a big stocking-up trip.

The new scanning technology will instead use computer vision and ML (machine learning) to recognize products without scanning the barcode, cutting the time it takes for the app to identify the product in question, the retailer explains.

In a video demo, Sam’s Club showed how it might take a typical shopper 9.3 seconds to scan a pack of water using the old system, versus 3.4 seconds using the newer technology.

Of course, the times will vary based on the shopper’s skill, the item being scanned and how well the technology performs, among other factors. A large package of water is a more extreme example, but one that demonstrates well the potential of the system… if it works.

Sarah Perez

Consumer News Editor

Sarah has worked as a reporter for TechCrunch since August 2011. She joined the company after having previously spent over three years at ReadWriteWeb. Prior to her work as a reporter, Sarah worked in I.T. across a number of industries, including banking, retail and software.

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