Technology

AI technology is helping retailers reduce checkout losses by detecting fraud, predicting theft, and improving overall efficiency without compromising the customer experience.

The shift from reactive to proactive security, driven by AI advancements like Agentic AI, is enhancing threat detection and deterrence while empowering security professionals to make more informed, strategic decisions. Read more in this article from LVT.

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 RCC's 2025 Retail Secure Conference brought together industry leaders to discuss the latest challenges and solutions in retail crime, cybersecurity, fraud prevention, and collaboration, emphasizing the importance of coordinated efforts to ensure a safer future for the retail sector.

AI-driven video systems are transforming retail by enhancing security, operational efficiency, customer experience, and life safety, though many retailers still face challenges in fully integrating the technology across their operations.

Zebra highlights how expanding loss prevention to a broader profitability strategy, using tools like predictive analytics and machine learning, can uncover hidden opportunities, optimize operations, and drive significant cost savings in retail.

Retailers and organizations must proactively adapt their security strategies to maintain safety, reduce losses, and protect brand reputation.

Ram Venkataraman finds that survey data highlights a significant rise in theft costs for retailers, with AI-driven solutions offering a proactive approach to prevent losses and enhance security measures.

Building on the widely adopted Calla camera, the R1 delivers enhanced safety features, smarter connectivity, greater durability, and customizable branding options to meet the demands of today’s retail environments.

Gift card fraud, increasingly perpetrated by organized crime rings, is a growing concern for retailers, who are using AI-enabled open-source intelligence (OSINT) to detect and prevent fraudulent activity and safeguard consumer trust.