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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.

Dr. Kai-Oliver Zander, Dr. Thomas Thiele, Maurice-André Ruberg, Julia Pilotto, Tim AhlersFebruary 25, 20261 min read
Can GenAI truly transform supply chain management? | Arthur D. Little

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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