Retail solutions provider, Diebold Nixdorf has begun rolling out its new AI-based checkout solutions designed to prevent the most common sources of revenue loss and friction at self-service and traditional POS checkouts.
The new Smart Vision technology-powered offering is intended to complement Diebold Nixdorf’s exisitng solutions, which reduce friction during fresh produce scanning and age verification for restricted sales. The firm is combining both technologies on the same platform to introduce a more comprehensive set of anti-shrink solutions and address a common pain point for retailers when using self-service technology.
While self-service checkouts continue to offer much potential for customer convenience, optimised floor space and allowing employees to better engage shoppers, managing the associated risk of shrink at the has long been a challenge. For instance, when the self-checkout process is disrupted by the need for human intervention stock inaccuracies can occur while it also leads to poor shopper and employee experiences.
How it works
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 helping retailers more easily deploy new technologies across multiple store locations. Effective immediately, the new solutions will target three areas:
High priority shrink scenarios at checkout – The new AI-based offering is aiming 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.
Autonomous age verification – The need to verify the age of a shopper for certain types of purchase is a legal requirement in all countries and can account for up to 22% of interventions by a shop employee. By using a consumer facing camera and requiring 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 additionally tackle 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 trained algorithms, the system identifies the produce and quantity so that shoppers no longer have to, and retailers’ margins don’t suffer due to misidentified items.
Matt Redwood, vice president, Retail Technology Solutions at Diebold Nixdorf said: “Retailers are committed to innovating, but they want to avoid duplication of efforts and costly implementations. Any new innovation deployed inside stores not only needs to be seamless but must also enhance the customer experience.
He added: We designed our new AI-powered offerings based on insights we’ve gained deploying millions of POS and thousands of self-checkouts across the major retailers we work with. We’ve left no stone unturned when it comes to enhancing customer and employee experiences, as well as retailers’ need to scale easily and improve efficiency.”
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Image source: Diebold Nixdorf
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