International Journal on Science and Technology

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AI in Retail: Advanced Technologies for Fraud and Loss Prevention

Author(s) Shashank Chaudhary
Country United States
Abstract The retail industry faces significant challenges from fraud and theft, threatening profit margins and operational stability. This article examines how artificial intelligence technologies are transforming loss prevention strategies across the retail sector. AI-driven transaction monitoring, behavioral pattern recognition, computer vision systems, and inventory management solutions provide retailers with unprecedented capabilities to detect, prevent, and respond to fraudulent activities. Modern AI systems can process vast quantities of data in real time, identify suspicious behavioral patterns, monitor physical store environments, and track inventory with remarkable precision. Additionally, the article addresses the crucial balance between implementing robust security measures and maintaining positive customer experiences, offering strategies for retailers to enhance protection while preserving customer trust and satisfaction. As these technologies continue to evolve, they represent a powerful tool for retailers combating the growing sophistication of fraud attempts in both physical and digital retail environments.
Keywords Artificial intelligence, Retail fraud prevention, Behavioral biometrics, Computer vision security, Customer experience
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-28
Cite This AI in Retail: Advanced Technologies for Fraud and Loss Prevention - Shashank Chaudhary - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2912
DOI https://doi.org/10.71097/IJSAT.v16.i1.2912
Short DOI https://doi.org/g896fq
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