Enhancing Retail Theft Prevention with Generative AI Technologies

Satish Kathiriya, Akash Sinha, Abhishek Shende

Abstract: This paper investigates the application of Generative AI in combating retail theft, focusing on computer vision and predictive analytics. By analyzing sales transactions, inventory records, and surveillance footage, Generative AI enhances traditional security protocols, detecting irregularities that may indicate theft. The study outlines how these AI technologies not only aid in preventing losses but also optimize inventory management and improve customer service. This synergy between AI and existing security measures provides a proactive defense mechanism, improving the efficacy of theft detection and prevention in real - time. Additionally, the paper touches upon the ethical considerations of such technologies in retail environments. It concludes by highlighting the potential for future advancements in AI - driven security solutions and their implications for retail operations.

Keywords: Generative AI, Retail Theft Prevention, Loss Mitigation, Artificial Intelligence in Retail, Organized Retail Crime