AI in Retail: Advanced Technologies for Fraud and Loss Prevention

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.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-03-28
DOI
https://doi.org/10.71097/ijsat.v16.i1.2912
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

AI in Retail: Advanced Technologies for Fraud and Loss Prevention

Snehal Chaudhary
International Journal on Science and Technology
Consumer Retail Behavior Studies
article

AI in Retail: Advanced Technologies for Fraud and Loss Prevention

Snehal Chaudhary
article en

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.

International Journal on Science and TechnologyVol. 16(1)
Peace, Justice and strong institutions
Openalex Percentile: Top 93%
Consumer Retail Behavior Studies
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AI in Retail: Advanced Technologies for Fraud and Loss Prevention — Snehal Chaudhary · International Journal on Science and Technology (2025) | TGRS Research Map | TGRS