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.
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
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.
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.
AI technology is helping retailers reduce checkout losses by detecting fraud, predicting theft, and improving overall efficiency without compromising the customer experience.
Everon partnered with the Initiative for Affordable Housing’s re:loom program to upcycle retired uniforms into sustainable tote bags, supporting both environmental sustainability and community empowerment.
Pennsylvania AG Charges Father and Son Members of Crew That Targeted Stores for Blitz-Style Thefts | Texas Man Executed 13 Years to the Day of Store Robbery Where He Set Clerk on Fire | Colombian Man's NJ Shopping Spree Ends with ICE Arrest
Download this 34-page special report from Loss Prevention Magazine about types and frequency of violent incidents, impacts on employees and customers, effectiveness of tools and training, and much more.