Abstract
AI in logistics – sustainable supply chain management has the potential to improve sustainable supply chain management, as it can be utilized to optimize resource utilization and reduce waste, thereby improving environmental footprints at both company and supply chain levels. As companies face mounting pressure to be environmentally friendly, AI-powered solutions can help provide more accurate demand forecasting, optimize logistics operations, and minimize carbon emissions simultaneously. This study examines the role of AI technologies in sustainable supply chains, with a focus on intelligent resource allocation, predictive analytics, and circular economy solutions. By combining AI with other key technologies, businesses can enhance resilience, drive cost savings, and meet the growing consumer expectation for environmental responsibility.
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Allam, H., Lazaros, E. J., Davison, C. B., & Truell, A. D. (2025). The AI-driven sustainability: transforming supply chains for a greener future. Issues in Information Systems, 26(2), 258–266. https://doi.org/10.48009/2_iis_120
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