Industry News

Join us on Thursday, July 17th at 2 p.m. Eastern Time for a 90-minute webinar focused on how retailers are strengthening preparedness plans, safeguarding their operations, and prioritizing the wellbeing of their employees.

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 June, 2025.

Artificial intelligence is revolutionizing the retail industry by driving personalization, operational efficiency, and sales growth, with a projected $9.2 trillion impact by 2029—though most retailers are still early in adoption.

Please join us in congratulating the following individuals on their recent career moves and promotions.

Amid rising retail theft and violence driven by legal, social, and economic shifts, retailers and security professionals must adapt strategies, collaborate across sectors, and advocate for reform to restore safety and accountability in retail environments.

Flock Safety, a safety technology platform dedicated to creating thriving communities, announced the launch of the Flock Business Network, a first-of-its-kind secure, collaborative hub designed to help private sector organizations work together to solve and prevent crime.

Shoplifter Jumps from Second Story of Mall onto Ice Rink | Security Guard Charged after Woman Killed | Task Force's 'No Price Is Right' Operation Nets 8 Arrests

The LP Magazine Founders’ Awards honor industry leaders like Joe Laufenberg of Festival Foods, whose authentic, people-focused leadership and commitment to empowering others exemplifies the positive impact loss prevention professionals can have on both business and lives.

The National Retail Federation announced that its Reverse Logistics Association Conference will rebrand as NRF Rev in 2026, focusing on returns, reverse logistics, and sustainability, and will be held alongside NRF 2026: Retail’s Big Show in New York City.

Read how the Shrink Analyzer's most recent development efforts enhance internal theft analysis using machine learning (ML) to continuously help improve loss event identification accuracy, accelerate evidence-building processes to aid in prosecution, and support early detection and remediation.