The Future of Supply Chains: AI, Agility, and Reducing Environmental Impact

Sustainable Supply Chain

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In this episode of the Sustainable Supply Chain podcast, I had the pleasure of chatting with John Sicard, CEO of Kinaxis. We delved deep into the shifting landscape of supply chain management, exploring how traditional approaches are giving way to more agile, concurrent techniques. John shared invaluable insights into why the old cascaded, siloed methods no longer cut it, especially in a post-pandemic world where resilience and sustainability are paramount.
We also discussed the role of technology in this transformation, with a particular focus on AI and machine learning. John made a compelling case for automating the "obvious" to improve efficiency and reduce waste, underscoring the critical need to measure and mitigate the environmental impact of supply chain decisions. He emphasised that the pursuit of sustainability isn't just about achieving net-zero; it’s about making continuous, incremental improvements that will benefit both business and the planet.
Finally, we touched on the cultural shift required within organisations to embrace these new methodologies. Change is never easy, but as John pointed out, the cost of standing still could be far greater. This is a must-listen for anyone looking to future-proof their supply chain while making a positive impact on the environment.

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1. The Future of Supply Chains: AI, Agility, and Reducing Environmental Impact (00:00:00)

2. [Ad] Rumi.ai (00:31:28)

3. (Cont.) The Future of Supply Chains: AI, Agility, and Reducing Environmental Impact (00:32:17)