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Supply chains are under increasing pressure to reduce costs, improve service levels, and meet sustainability targets—but how can organisations balance all three? In this episode, I’m joined by Sunder Balakrishnan, Head of Supply Chain Analytics at LatentView Analytics, to discuss how data and AI are transforming supply chain decision-making.

We explore:

Why perfect data doesn’t exist—and why that’s not a barrier to action
How AI can optimise supply chains for cost, service, and sustainability simultaneously
Real-world applications of AI, from reducing wastewater emissions to improving on-shelf availability
The challenges of AI adoption, including data integration and change management
The role of digital twins in supply chain simulation and planning

One key takeaway? Sustainability should be embedded into supply chain design from the outset, rather than treated as an afterthought. AI can enhance visibility, provide predictive insights, and help organisations make data-backed sustainability decisions—but only if businesses invest in the right data foundations and employee education.

If you're looking to understand how AI and analytics can create smarter, more resilient, and sustainable supply chains, this episode is for you.

#SupplyChain #Sustainability #AI #DigitalTwins #SupplyChainAnalytics #DataDriven

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AI, Supply Chains, and the Sustainability Challenge: A Data-Driven Approach

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