Loss Prevention Magazine - AI Special Edition 2025

The article discusses the growing role of AI in criminal justice, highlighting its potential to enhance investigations through data analysis, crime prevention, and improved interrogation techniques, while also addressing concerns related to privacy, bias, accuracy, and ethical implications.

Whole Foods Market is using AI to improve asset protection and reduce theft, while other retailers like REI are slowly adopting AI, amid concerns over privacy and reliability.

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.

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.