Sustainable Supply Chain Using AI to Build Resilient, Sustainable Supply Chains
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Apr 28, 2025 In this conversation with Jen Chew, Vice President at Bristlecone, she shares insights on applying AI to enhance sustainability in supply chains. Jen discusses the shift from AI experimentation to real-world applications, emphasizing the importance of data readiness and analytical skills. She debunks the myth that sustainability comes with high costs, revealing how it can actually drive efficiencies. The talk also covers generative AI’s role in sourcing strategies and the impact of evolving trade policies, providing a roadmap for future-proofing supply chains.
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AI Adoption Matures in Supply Chains
- AI in supply chains has shifted from educational experiments to systematic use case implementations.
- Companies now explore large-scale applications like AI-driven sales and operations planning (S&OP).
Difference Between AI and Generative AI
- AI broadly includes automated learning, while generative AI creates new content like stories or conversations.
- Understanding this distinction is crucial for deploying effective supply chain AI strategies.
Prepare and Prioritize AI Use Cases
- Invest in culture, skills, and data readiness to make AI initiatives successful.
- Prioritize AI use cases by effort, benefit, and grouping to scale deployment effectively.