Authors: Sagar Gupta
Abstract: The integration of artificial intelligence (AI) into enterprise resource planning (ERP) systems represents a transformative advancement in inventory management. This paper explores AI-enabled ERP modules' roles in demand forecasting, stock optimization, and supply chain responsiveness, with reference to case studies from Zara and Amazon, as well as insights from healthcare institutions. Using a conceptual research framework and enriched scholarly citations, this study highlights efficiency gains, operational challenges, and organizational implications of AI adoption in ERP. Findings suggest AI-driven techniques enhance decision accuracy, cost efficiency, and operational agility, though technical, cultural, and ethical challenges persist. Future research directions include deep and reinforcement learning, IoT integration, and responsible AI governance.
