How AI Technologies Are Revolutionizing Inventory Management in the Supply Chain

This research explores the role of Artificial Intelligence (AI) technologies in transforming inventory management within supply chain systems. As global markets become increasingly complex and dynamic, traditional methods of inventory management are proving to be inefficient in addressing the challenges posed by fluctuating demand, supply chain disruptions, and evolving customer expectations. AI has emerged as a critical solution for businesses seeking to optimize inventory management processes. Through the application of machine learning, predictive analytics, and automation, AI provides the tools necessary to enhance forecasting accuracy, reduce operational costs, and improve stock control. This study employs a qualitative approach, gathering insights from industry professionals, supply chain managers, and AI experts through in-depth interviews and thematic analysis. The findings reveal that AI technologies significantly contribute to improved demand forecasting, real-time inventory tracking, and decision-making capabilities. Additionally, AI allows for greater flexibility in supply chains, enabling companies to quickly adapt to market changes and optimize resources. However, challenges such as high implementation costs, the need for specialized expertise, and data security concerns remain. Despite these barriers, the research concludes that the benefits of AI far outweigh the drawbacks, and businesses that leverage AI in inventory management gain a competitive advantage by enhancing operational efficiency and customer satisfaction. Future research could focus on developing strategies to overcome these challenges and facilitate the widespread adoption of AI in supply chain management.