AI in the Supply Chain Practical Law The Journal
AI has rapidly emerged as a widely used technology in law and business, including in the supply chain industry. Its ability to quickly process and analyze vast amounts of diverse data (referred to as big data) has made AI a valuable resource for companies and transformed how they engage with their suppliers. At a time when supply chains continue to be volatile and complex, AI is increasingly being integrated by supply chain participants to:
Enhance efficiency.
Reduce costs.
Improve decision-making.
This article examines the most common use cases of AI in the supply chain, giving examples of how companies and providers are integrating this diverse and rapidly improving technology into their operations (for more on the supply chain and its participants, see Supply Chain: Overview on Practical Law). This article also analyzes how attorneys supporting the supply chain function can use GenAI and other solutions in their practice.
(For a collection of resources to assist counsel on AI and emerging legal issues and regulations across various practice areas, see AI Toolkit (US) on Practical Law; for more on key AI and machine learning concepts, see AI and Machine Learning: Overview on Practical Law.)
Use of AI in the Supply Chain
Companies continue to integrate AI technologies into all facets of the supply chain. The emergence of agentic AI systems, which are capable of operating more autonomously than traditional AI solutions, will continue to drive efficiencies and enable more sophisticated automation in supply chain management.
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