Tag: retail loss prevention

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.

Ghost employees—fake or inactive workers left on the payroll—can quietly drain thousands from companies, especially in high-turnover retail settings, if poor oversight and weak system controls let them slip through unnoticed.

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.

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.

Tariffs on China are disrupting retail supply chains and driving up consumer costs, prompting cutbacks and increased use of buy now, pay later loans.

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.

Omnichannel retailers can reduce returns fraud by using a unified, data-driven returns management system with real-time visibility.

LVT unveiled AI-driven security features, including personalized audio alerts, smart spotlighting, and forensic search, enhancing proactive 24/7 security.

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.

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.