Supply ChAInge

Derek Aranda
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Join supply chain expert Derek Aranda for a series investigating the challenges and opportunities of cognitive supply chains. We interview enterprise-level experts in AI, risk, change management, ethics, HR, and logistics to gain an understanding of the real-life implementation and impact behind intelligent supply chain management. Like all good investigations, our conclusion is not a foregone one, as complex systems require complex analysis, and the cutting edge of technology, well, it can be sharp.Join us on Supply ChAInge to ask the question behind the question: not just can a cognitive supply chain work, but what does it take at scale?

Episodes

  1. Welcome to Supply ChAInge: Exploring the Autonomous, Cognitive, Agentic Supply Chain

    3d ago

    Welcome to Supply ChAInge: Exploring the Autonomous, Cognitive, Agentic Supply Chain

    What does it actually mean for a supply chain to run itself? Season 1 opens by defining the thing everyone is racing toward before agreeing on what it is. Derek lays out a five- level pyramid, from automation to analytics to cognitive to agentic to autonomous, so leaders can locate where they really are today and see how big the next leap is. No alphabet soup of technical terms and no vendor roadmap. The goal is a shared definition you can build against. 🎧 Episode Highlights [00:30]: How AI is transforming modern supply chain careers [01:45]: Why supply chain is now a strategic AI priority [09:30]: AI supply chain pyramid: automation to autonomous operations [15:10]: Cognitive AI for tariffs: smarter supply chain decisions [20:05]: Bounded autonomy: AI, dark warehouses, and human oversight 🔑 Key Takeaways: ● Supply chain moved from cost center to strategic lever. COVID, tariffs, and global conflict exposed how fragile and decisive supply chains are, pushing them into the boardroom. AI's rise came in the same moment, bringing real opportunity and a lot of hype. ● There's a five-rung climb, and the rungs aren't evenly spaced. Automation and analytics make work faster and more visible while humans still decide. Cognitive systems understand context and trade-offs and narrow the decision space. Agentic systems act within guardrails. Autonomous removes the human from the loop. The jump from agentic to autonomous is far larger than the jumps below it, and most organizations are still near the bottom. ● You don't fix process discipline with AI. Agents need defined rules, sandboxes, and decision criteria. If your SOPs aren't solid today, that gap becomes the dividing line between firms that can deploy AI fast and firms that can't. ● Bounded autonomy is a more realistic target. Fully dark, end-to-end autonomy is distant and maybe not even desirable. The richer goal is autonomy inside defined domains, with humans on the frontier as decision makers, coaches, and trainers Autonomy means hands applied differently, not hands off. 👤 About The Host: Derek Aranda Derek Aranda spent over two decades as a global executive operating across commercial, supply chain, and digital transformation roles at scale. That span across the full value chain shapes his lens: the decisions, incentives, trust, economics, and governance that determine whether technology actually works inside real supply chains. On Supply ChAInge, he pressure-tests the autonomous future and helps leaders shape the framework to build it on their own terms. Stay Connected: ● https://supplychaingepodcast.com ● https://april12advisors.com Produced by Speakerbox Media

    28 min
  • 1 Episode

About

Join supply chain expert Derek Aranda for a series investigating the challenges and opportunities of cognitive supply chains. We interview enterprise-level experts in AI, risk, change management, ethics, HR, and logistics to gain an understanding of the real-life implementation and impact behind intelligent supply chain management. Like all good investigations, our conclusion is not a foregone one, as complex systems require complex analysis, and the cutting edge of technology, well, it can be sharp.Join us on Supply ChAInge to ask the question behind the question: not just can a cognitive supply chain work, but what does it take at scale?

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