limitedDistribution · Industry Research
Can GenAI truly transform supply chain management? | Arthur D. Little
Generative AI (GenAI) is poised to transform supply chain management by handling unstructured data and redefining decision-making processes, addressing the limitations of traditional AI.

Stargo's Stardox platform leverages GenAI to redefine decision-making in supply chain management, optimizing unstructured data handling.
Executive Summary
Generative AI (GenAI) has quickly become the technology to watch, with the potential to overhaul industries. In supply chain management, it holds particular promise for making sense of large volumes of unstructured data. Recent global trade disruptions highlight GenAI’s relevance and the limits of traditional AI in fast-moving environments. This Viewpoint evaluates whether GenAI meets the hype using a standardized supply chain model and identifies where it can add the most value. Global supply chains face rising complexity, less predictable risks, changing demands, and the relentless need for efficiency. Traditional AI has been a game changer through rule-based systems, machine learning (ML), and automation, but its limitations are increasingly apparent. GenAI is now broadening its application, not only analyzing data but redefining decision-making and content creation across the supply chain.
Source: www.adlittle.com
Authors: Dr. Kai-Oliver Zander, Dr. Thomas Thiele, Maurice-André Ruberg, Julia Pilotto, Tim Ahlers
Original Article: https://www.adlittle.com/jp-en/insights/viewpoints/can-genai-truly-transform-supply-chain-management
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