Journal of Economic and Social Dynamics
Open Access • Peer Reviewed • Monthly Publication
Artificial Intelligence in Supply Chain Risk Management: Perspectives on Optimization and Resilience
Abstract
Supply chains, often impacted by major crises such as global financial crises, must adopt more robust and responsive strategic approaches to enhance their resilience. In this context, artificial intelligence (AI) emerges as a promising solution to transform risk management in logistics. This article explores the link between AI and the supply chain, highlighting its advantages over traditional data analysis methods. AI, through its sophisticated algorithms, enables task automation, enhances the speed and ac curacy of decision-making, and optimizes overall performance. The results of our study reveal that integrating AI into logistics processes offers several benefits. It notably allows for the auto mation of certain tasks, improves the speed and comprehensiveness of decisions, strengthens trust in op erations, and optimizes the overall performance of the supply chain. Furthermore, logistics managers are encouraged to train in new technologies to adapt to sector evolutions and maintain their competitiveness.
Copyright & License
© 2025 The Author(s). Published by WM Journals.
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.