Tag: AI

The article highlights concerns about candidates using AI in interviews and offers strategies to detect authentic expertise.

LVT has appointed Chris Beckstead as its first president to help drive its expansion into AI-powered, data-driven security innovation.

Retailers are increasingly turning to AI and machine learning to combat rising shrinkage, as traditional loss prevention methods struggle to keep pace with the growing scale and complexity of retail crime.

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.

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.

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.

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.

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.

Phantom inventory—stock that shows as available but isn’t—costs retailers millions by hiding theft and errors, but Zebra’s Workcloud Actionable Intelligence uses AI to detect, alert, and resolve these issues in real time, boosting inventory accuracy and profits.

ThinkLP’s AI-powered crime linking platform helps retailers connect and analyze dispersed theft incidents to uncover and disrupt sophisticated organized retail crime networks through collaborative, data-driven investigations.