Abstract: This paper explores the transformative role of Artificial Intelligence (AI) in enhancing retail security, particularly in the real-time detection and prevention of theft and fraud. Traditional surveillance and manual monitoring methods are increasingly insufficient in addressing the evolving tactics of shoplifters and internal fraudsters. AI technologies such as computer vision, machine learning, and natural language processing are revolutionizing retail operations by enabling automated surveillance, behavioral analytics, and real-time fraud detection at the point of sale (POS). The study discusses practical applications, including AI-enhanced video systems, customer behavior analysis, and anomaly detection in transactions, supported by real-world examples from global retail leaders. It also critically examines the ethical and privacy concerns that arise from data surveillance and facial recognition, highlighting the need for compliance with data protection regulations. While AI presents promising ...
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