Tag: 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.

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

Gatekeeper Systems’ Paul Jones, LPC, has been named a 2025 NRF Ring of Excellence honoree for his leadership in loss prevention and retail innovation.

In this episode of LPM's Inside Scoop Podcast, David Johnston, VP of AP and retail operations at the NRF, tells Stefanie Hoover about his May 14th trip to The Hill. A select group of retail LP executives partnered with the NRF to visit members of Congress and the Senate who can help get CORCA across the finish line.

Available on-demand now, watch this powerful and timely webinar in recognition of Mental Health Awareness Month.

Retailers are facing rising theft and violence, and the key to progress lies in connecting existing security technologies and collaborating across sectors to drive meaningful, long-term impact.

Apprehending repeat offenders is just the beginning—true progress in retail crime prevention requires coordinated follow-through across retailers, law enforcement, and the justice system to break the cycle and restore safety.

NRF is bringing retail leaders to Capitol Hill to advocate for the Combating Organized Retail Crime Act of 2025 and urge congressional action.

This article highlights how retail loss prevention can evolve from reactive to proactive strategies by adopting unified commerce and data systems, integrating loss prevention teams, and leveraging advanced technologies like machine learning and automation to combat theft, fraud, and operational inefficiencies across all channels.

A must-attend every year for those in the industry, RILA’s AP Conference is an opportunity for retailers to come together and explore, share, and learn—ultimately advancing the LP profession and collaboration with key stakeholders, such as DAs and law enforcement.