Leveraging Artificial Intelligence for Enhanced Inventory Management: A Theoretical Study

This research paper explores the theoretical foundations of utilizing artificial intelligence (AI) in inventory management. Through an in-depth review of existing literature and theoretical frameworks, the paper examines the potential benefits and challenges associated with implementing AI-driven solutions in inventory management systems. Theoretical models and frameworks are analysed to elucidate the role of AI in optimizing various aspects of inventory management, including demand forecasting, stock optimization, supply chain coordination, and cost management. The paper also discusses the potential impact of AI on operational efficiency, customer satisfaction, and financial stability within organizations. Furthermore, it explores theoretical insights into the future trends and scope of AI in inventory management.