The Role of Artificial Intelligence in Optimising Retail Inventory Management
Authors
Asst. Professor, Pacific Institute of Business Studies (India)
Scholar, Business Administration, Pacific Academy of Higher Education and Research University, Udaipur. (India)
Article Information
DOI: 10.51244/IJRSI.2025.120800357
Subject Category: Management
Volume/Issue: 12/9 | Page No: 3991-3994
Publication Timeline
Submitted: 2025-09-14
Accepted: 2025-09-21
Published: 2025-10-14
Abstract
This review paper examines how Artificial Intelligence (AI) is transforming retail inventory management with predictive analytics, machine learning algorithms, and automation. Drawing on the results of four articles, the review examines AI-facilitated enhancements in demand forecasting, inventory optimization, supply chain integration, and reordering automation. The study also examines challenges and strategic implications of leveraging AI in the retail industry. The study establishes the premise that not only does AI enhance forecasting accuracy and response time, but it also supports lean inventory practices, scalability, and real-time responsiveness. With the help of AI, retail firms try to realign their inventory to achieve its full potential.
Keywords
Artificial Intelligence, Inventory Management, Retail, Demand Forecasting, Machine Learning, Automation, Supply Chain
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References
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