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AI, Digital Twins, and Sustainability in Supply Chains: Foundations, Innovations, and Future Directions
Abstract
This chapter explores how Artificial Intelligence (AI) and digital twins are reshaping sustainable supply chains by integrating intelligence, transparency, and resilience into global logistics systems. AI enables predictive analytics, green routing, and automation to optimize resources while minimizing waste and emissions. Digital twins create real-time, virtual replicas of supply networks, allowing proactive monitoring, scenario testing, and energy optimization. Together, these technologies advance ESG compliance, net-zero strategies, and circular economy practices. Case studies from Unilever and Siemens-DHL highlight practical adoption, while discussions on blockchain, quantum AI, and autonomous operations illustrate future trends. The chapter concludes by identifying challenges such as governance, interoperability, and costs, and proposes pathways toward self-adaptive, eco-resilient supply chains.
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