AI is reshaping supply chain management, but its impact relies on integrating with evolving operations management (OM) concepts.
CRA’s Maxime Cohen is a contributor to the academic and industry leader team releasing the vision statement “Supply Chain Management in the AI era: A Vision Statement from the Operations Management Community,” outlining the Operations Management community’s responsibility to guide how AI transforms supply chains in ways that ensure supply chains are sustainable, resilient, and equitable.
This vision statement organizes the discussion around five layers of the interaction between AI and supply chain management: intelligence, execution, strategy, human, and infrastructure. It synthesizes recent research and industry practice to show how AI improves forecasting, planning, decision making, risk management, and human–machine collaboration, while also addressing challenges like data quality, model integration, governance, and workforce adaptation.
Key takeaways from the discussion include:
- AI’s impact depends on effective integration with OM principles
- AI boosts forecasting and planning, but issues remain in data, model integration, governance, and workforce adaptation
- Reliable data, transparent systems, and human–AI collaboration are crucial for resilient supply chains
Achieving AI’s potential requires reliable data, integrated learning and optimization, explainable systems, and ongoing human–AI collaboration for trustworthy supply chains.
