Vision-Language Models that See, Understand, and Speak the Language of Loss Prevention
Vision-Language Models (VLMs) combine computer vision and natural language processing to enhance retail loss prevention by not only detecting suspicious behaviors in real-time but also providing contextual understanding and actionable insights.
The Biggest News in Loss Prevention: May 24 – 30
Thieves Get Away with $2M in Cash and Merchandise in Jewelry Store Heist | Woman Accused of Making Phony Kidnapping Claim to Escape Shoplifting Arrest | Hammer-Wielding Crooks Steal Thousands of Dollars Worth of Pokemon Cards
Beyond Locks and Cameras: How Modern Contract Management Is Retail’s Next Loss Prevention Frontier
Retailers can significantly reduce losses by applying analytical rigor and AI-powered tools to contract management, uncovering hidden risks in vendor relationships often overlooked in traditional loss prevention strategies.
Crime in Motion: Applying Routine Activities Theory to Business Risk
This article explains how CAP Index applies routine activities theory to help businesses assess vulnerabilities and reduce crime risks by addressing the convergence of offenders, targets, and guardians.
Managing the Unseen Risk: Third-Party Workers in Retail Spaces
Third-party workers often arrive and operate under tight schedules, making it easy for safety protocols to slip through the cracks.