AI in Inventory Management: The Disruptive Era of DRL and Beyond
Gijsbrechts, Joren Boute, Robert N Mieghem, Jan A Van Zhang, Dennis J
Gijsbrechts, Joren
Boute, Robert N
Mieghem, Jan A Van
Zhang, Dennis J
Publication Type
Book Chapter
Editor
Supervisor
Publication Year
2026
Journal
Book
AI in Supply Chains
Publication Volume
27
Publication Issue
Publication Begin page
137
Publication End page
148
Publication Number of pages
Collections
Abstract
Deep reinforcement learning (DRL) has demonstrated significant potential for solving complex decision-making problems, including inventory control in large-scale supply chains. While DRL’s ability to handle vast state and action spaces and enable near real-time decision-making is compelling, its practical application in this domain so far has yielded mixed results. We reflect on the progress and persistent challenges of applying DRL to real-world inventory control. We explore the gap between initial enthusiasm and the realities of implementation, highlighting key obstacles that must be addressed to unlock DRL’s full potential. Despite these challenges, we argue that DRL remains a promising avenue to transform supply chains.
Research Projects
Organizational Units
Journal Issue
Keywords
3509 Transportation, Logistics and Supply Chains, 46 Information and Computing Sciences, 35 Commerce, Management, Tourism and Services, 1.1 Normal biological development and functioning, Generic health relevance