AI in Cashierless Checkout Stores

A checkout-free store has to answer one question over and over: who took what? To answer it, these systems combine several signals. Overhead cameras track each shopper as an anonymous figure moving through the store, usually without facial recognition. Computer vision models estimate body pose to tell which hand reached toward which shelf. Weight sensors (load cells) under the shelves register when an item is lifted or put back, and product recognition models identify the packaging. On entry, each shopper is linked to a way to pay: an app QR code, a payment card tapped at a gate or, in Amazon's case, the Amazon One palm scanner. When the shopper leaves, the system totals a virtual cart and sends a receipt, sometimes minutes or hours later. Amazon opened its first Amazon Go store to the public in Seattle in 2018. It later licensed the technology as Just Walk Out to stadiums, airports and other retailers. Other vendors, including Standard AI, Zippin and AiFi, built similar camera-based systems. In 2024 Amazon began removing Just Walk Out from most of its US Amazon Fresh grocery stores and replaced it with Dash Cart smart carts. It kept selling the technology for smaller store formats. A common misconception is that these stores run on AI alone. Unclear events are sent to human reviewers. Examples include crowded shelves, similar-looking products, or a child handing an item to a parent. Media reports in 2024 said reviewers in India checked a large share of transactions. Amazon disputed that description and said reviewers mainly label data and audit a small portion. Either way, human review, a lot of hardware and ongoing calibration add cost. That is why the approach suits small, busy stores with limited product ranges better than large supermarkets with tens of thousands of items and loose produce.