TL;DR:
- Diebold Nixdorf introduces “Vynamic® Smart Vision I Shrink Reduction,” an AI-powered checkout solution.
- This technology addresses common sources of loss at self-service and traditional POS checkouts.
- It seamlessly integrates with existing AI solutions, enhancing the anti-shrink toolkit for retailers.
- The system autonomously verifies age for age-restricted sales, reducing intervention.
- It accurately identifies and distinguishes fresh produce items priced by weight or quantity.
Main AI News:
Diebold Nixdorf, a global leader in retail solutions serving over 150 retailers worldwide, has unveiled its groundbreaking AI-powered checkout solutions, which made their debut at this year’s NRF Big Show. In a strategic move to combat retail shrinkage, Diebold Nixdorf introduces the innovative “Vynamic® Smart Vision I Shrink Reduction” solution, powered by SeeChange’s advanced AI and machine learning cloud platform.
This remarkable offering is meticulously designed to address the most prevalent sources of loss at both self-service and traditional point-of-sale (POS) checkouts. It seamlessly integrates with Diebold Nixdorf’s existing AI-based solutions, which have already proven their mettle in reducing friction during fresh produce scanning and age verification for restricted sales. By amalgamating these cutting-edge technologies on a unified platform, Diebold Nixdorf presents one of the most comprehensive anti-shrink solutions available in the market today, with an exceptional capacity for scalability. What sets this apart is the ease with which Diebold Nixdorf can deploy its AI-powered solutions for retailers, seamlessly integrating them into existing in-store setups without any disruptions.
The retail industry has long acknowledged the transformative potential of self-service technology, offering customers convenience, optimizing floor space, and enhancing employee engagement with shoppers. However, the persistent challenge of managing and mitigating shrinkage at self-service checkouts has hindered progress. Disrupted self-checkout experiences due to human intervention, stock inaccuracies, and other friction points have also been a concern for retailers, as they can undermine the convenience of using self-checkouts.
Diebold Nixdorf’s “Vynamic® Smart Vision I Shrink Reduction” solution leverages SeeChange’s AI and machine learning cloud platform to provide a seamless and easily deployable technology for retailers across diverse store locations and geographies.
Matt Redwood, Vice President of Retail Technology Solutions at Diebold Nixdorf, emphasized, “Retailers are dedicated to innovation, but they seek to avoid duplicating efforts and incurring costly implementations. Any new innovation introduced in stores must not only be seamless but also enhance the overall customer experience. Our AI-powered solutions have been meticulously crafted based on insights gained from deploying millions of POS systems and thousands of self-checkouts in collaboration with major retailers. We have left no stone unturned in our mission to enhance both customer and employee experiences while facilitating easy scalability and efficiency improvements for retailers.”
Effective immediately, Diebold Nixdorf’s revolutionary solutions are equipped to address the most significant sources of revenue loss and friction at self-checkout:
- Tackling loss across high-priority shrink scenarios: The new AI-based offering is adept at countering common causes of loss, including deliberate theft, unintentional scanning errors, and instances where shoppers scan only one item from a group, employ false barcodes, or switch them. It ensures that retailers can effectively combat these challenges and prevent revenue leakage.
- Streamlining age verification for age-restricted sales: In compliance with legal requirements across all countries, Diebold Nixdorf’s solution autonomously verifies a shopper’s age. By using a consumer-facing camera and obtaining the shopper’s consent, the system estimates the consumer’s age in real-time, without storing any personal information. This process allows consumers to privately prove their age in under 10 seconds, a significant improvement over the industry average of three minutes when employee verification is required.
- Enhancing the identification of fresh produce items: Diebold Nixdorf’s AI-equipped self-checkouts accelerate the purchase process of weight or quantity-priced items, such as fruits, vegetables, or non-barcoded items. Employing camera-enabled computer vision and highly trained algorithms, the system identifies the produce and quantity accurately, reducing the need for manual intervention by shoppers and minimizing margin losses for retailers.
Conclusion:
Diebold Nixdorf’s innovative AI-driven solutions represent a significant leap in the battle against retail shrinkage. By streamlining checkout processes, reducing loss scenarios, and enhancing the customer experience, these technologies are set to revolutionize the retail market, providing retailers with powerful tools to safeguard revenue and optimize operations.
