Diebold Nixdorf announced the rollout of its new AI-based checkout solutions.

The company states that the system is "designed to prevent the most common sources of loss at self-service and traditional POS checkouts, the new Smart Vision technology-powered offering will complement Diebold Nixdorf's already-live AI-based solutions, which reduce friction during fresh produce scanning and age verification for restricted sales.”

According to the company, bringing these technologies together on a single platform will result in one of the most holistic anti-shrink solutions on the market—with great ability to scale. Diebold Nixdorf can deploy its new AI-powered solutions for retailers through its existing in-store integrations.

Diebold Nixdorf's new AI-powered solution, Vynamic Smart Vision I Shrink Reduction, is powered by SeeChange's AI and machine learning cloud platform and is aimed at satisfying retailers' need to easily implement and deploy new technologies across multiple store locations and geographies.

Among the features that Diebold Nixdorf highlighted:

Reduce loss across high-priority shrink scenarios at checkout. The new AI-based offering is meant to combat common causes of loss, including theft where shoppers deliberately do not scan an item, mistakes where an item is unintentionally not scanned and situations where shoppers scan only one item of several, use false barcodes or switch them and pay for some items but leave with more.

Autonomously verify age to assist with age-restricted sales. Diebold Nixdorf stated that the system uses a consumer facing camera and, with the shopper's consent to use the application, an algorithm estimates the consumer's age in real time, without storing any consumer information in the system. This enables consumers to privately prove their age in less than 10 seconds, compared to an industry average of three minutes when employee verification is required.

Identify and distinguish between fresh produce items. Diebold Nixdorf's AI-equipped self-checkouts are designed to speed up the process of purchasing produce that is priced by weight or quantity, such as fruit, vegetables or other loose non-barcoded items. Through a combination of camera-enabled computer vision and extensively trained algorithms, the system identifies the produce and quantity.

In November, NACS Daily noted that Walmart and Costco are rethinking self-checkout.