Resilient Supply Chain

How AI and Historical Data Are Transforming Sustainable Manufacturing


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In this episode of the Sustainable Supply Chain podcast, I’m joined by Aaron Lober, Vice President of Marketing at CADDi, to explore how data-driven manufacturing is reshaping the industry. Manufacturing, as we know, is the backbone of our global economy, but it’s grappling with challenges like rising costs, a retiring workforce, and the urgent need for sustainability. Aaron shares compelling insights into how leveraging historical data can help address these issues while improving efficiency and profitability.

We dive into CADDi’s innovative approach to manufacturing intelligence, which equips organisations with the tools to make smarter, faster decisions. By centralising decades of historical parts and production data, manufacturers can reduce procurement costs, optimise supply chains, and tackle the perennial question: Have we built this before?

Aaron also touches on the value of institutional knowledge as manufacturers face a wave of retirements in the coming years. We discuss practical strategies for preserving that knowledge through data systems, ensuring a seamless transfer to the next generation of workers.

Sustainability is, of course, a focal point. We talk about how manufacturers can integrate sustainable practices without sacrificing efficiency or profitability, from reshoring suppliers to using AI for carbon footprint analysis.

And looking ahead, Aaron predicts the transformative role of emerging technologies like AI in improving labour productivity, streamlining processes, and supporting better decision-making across the supply chain.

If you’re a manufacturer or supply chain professional, this episode is packed with actionable insights you won’t want to miss.

To download CADDi’s report mentioned in the episode, visit u

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Resilient Supply ChainBy Tom Raftery

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