Loss Prevention AI Checkouts

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Vynamic Smart Vision Shrink Reduction Addresses Self-Checkout Issues

Diebold Nixdorf's Vynamic Smart Vision Shrink Reduction is a new AI-assisted solution for the self-service checkouts that knows if shoppers are intentionally—or unintentionally—miss-scanning, if a product doesn’t match its label or if a customer accidentally left an item in their cart without paying.

This tech innovation debuted at the NRF Big Show and it's touted as "one of the most holistic anti-shrink solutions on the market," powered by SeeChange's AI and machine learning cloud platform.

This AI-powered innovation from Diebold Nixdorf builds upon its already-live AI-based solutions for reducing friction during fresh produce scanning and age verification for restricted sales. Most of all, this AI-assisted solution operates without the need to replace current infrastructure, making it cost-effective for retailers committed to innovation, enhanced customer experiences and reduced theft and loss.
Trend Themes
1. AI-assisted Shrink Reduction - Diebold Nixdorf's Vynamic Smart Vision Shrink Reduction uses AI to identify intentional and unintentional miss-scanning, label mismatches, and unpaid items in self-service checkouts.
2. Holistic Anti-shrink Solutions - Vynamic Smart Vision Shrink Reduction is considered one of the most comprehensive shrink reduction solutions on the market.
3. AI-enhanced Retail Infrastructure - This AI-assisted solution can be integrated into existing infrastructure, making it cost-effective for retailers and improving customer experiences while reducing theft and loss.
Industry Implications
1. Retail Technology - Diebold Nixdorf's Vynamic Smart Vision Shrink Reduction is an innovative retail technology that improves checkout processes and reduces shrinkage.
2. Artificial Intelligence - Vynamic Smart Vision Shrink Reduction utilizes AI and machine learning to analyze and detect checkout irregularities.
3. Loss Prevention - This AI-assisted solution addresses the need for effective loss prevention in the retail industry by identifying potential sources of shrinkage and theft.

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