Shrinking Retail Shrinkage with AI-Powered Sensors

20/08/2025

Guides, Retail

1 min

Artificial Intelligence (AI) and Machine Learning (ML) are already slated for bigger roles in the physical retail experience of the future. Bolstering security and curbing theft are just a few ways that advanced algorithms will help traditional retailers deliver customer-centric showroom experiences while also limiting losses related to shrinkage.

The new Preventing Retail Theft in Real-Time QuickGuide is an excellent resource for retailers who can’t afford to overlook the role of AI in theft prevention. It offers historical context, trends, best practices, and lessons learned for addressing shrinkage at:

Self-checkout areas
Product delivery and storage
Dressing rooms

Retailers are already using advanced, AI-powered sensors to improve conversion by delivering live, privacy-compliant data about visitor behavior, such as dwell time, view direction, and accurate scanning. The fast-approaching next generation of vision-based technology is using advanced models to prevent shrinkage in a way that preserves seamless, remarkable retail experiences.

Xovis' 3D sensors offer brick-and-mortar stores a competitive edge by hastening the trial-and-error process for improved decisions and higher revenue.

Olivier Delangre Co-founder & Chief Executive Officer, Amoobi

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