Dr. Leslie Allen, CFI earned her doctorate in criminal justice driven by her passion for investigating phone scams and fraud in retail, where she now leads efforts to mitigate theft and educate others on creating safer environments. Read more here!
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AI technology is helping retailers reduce checkout losses by detecting fraud, predicting theft, and improving overall efficiency without compromising the customer experience.
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.
To give you a better feel for the vast impact of the ORC problem, we have provided a glimpse into just a few of the incidents that took place in the month of March, 2025.
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.
The article by Christina Burton explores how understanding criminal decision-making through frameworks like CRA(A)VED and CAPTURED can aid in preventing theft and organized retail crime by focusing on product characteristics and criminal behavior.
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.