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Beyond mere automation: A techno-functional framework for reimagining gen-AI in supply chain operations

By Sreyoshi Bhaduri, Pavan Mullapudi, Shannon Dietrich, Scott DeWaters, Raj Ratan, Brajesh Kashyap, Rajanikanth Mandava, Lu Guo, Hungjen Wang, Vykunth Ashok, Abhilasha Katariya, Rohit Malshe, Ankush Pole, Arkajit Rakshit
2025
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As Generative AI (Gen-AI) continues to evolve rapidly, its potential to transform supply chain operations remains largely unexplored. Narrowing in on retail supply chain, this paper presents a taxonomy diagram that categorizes trends in Gen-AI adoption across various functions thereby mapping current Gen-AI capabilities and identifying immediate opportunities and potential challenges. We identify several key patterns in Gen-AI integration, including the automation of routine cognitive tasks, and enhancement of human decision-making capabilities. We posit that while Gen-AI shows immense promise in improving supply chain efficiency and resilience, successful implementation requires careful consideration of existing workflows, user capabilities, and organizational readiness. Finally, we present a cohesive vision for scaling Gen-AI in Supply Chain operations. Ultimately, this position paper provides insights for both practitioners looking to implement Gen-AI solutions and researchers exploring the future of AI in and for supply chain management.
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