Dave Clark, Founder and CEO of Auger, explores how AI could change the way global supply chains make decisions and execute them. He reflects on the high-risk assignments that shaped his career and the bet on robotics that helped transform Amazon’s fulfillment operations. Dave also discusses why decades of technology investment have left supply chain systems fragmented, what happens when optimization moves from meetings into real-time execution, and how AI could reshape planning teams, operating models, and the role of supply chain as a competitive advantage.

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*Hosted by Andrei Palamariu*

I’m joined by Uzair Bawany, CEO of Oii.ai, to explore what happens when AI moves beyond the hype and into the operational reality of global supply chains. Drawing on his experience scaling technology businesses and his work building Oii.ai, Uzair explains how probabilistic AI, digital twins, mathematical optimization, and agentic systems can help companies make smarter decisions around inventory, production, service levels, costs, and disruption.

We unpack why the parameters behind supply chain planning matter so much, how AI can work alongside existing planning platforms, and why companies should focus on testing practical use cases rather than trying to transform everything at once. From an 82X ROI proof of value to optimizing beer production across 32 tanks, this conversation explores the tangible business impact AI can deliver when it is built around real supply chain problems.

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*Hosted by Andrei Palamariu*

II’m joined by Nick Daly, COO of Gravity Supply Chain, to explore one of the most overlooked parts of global supply chains: the first mile. Drawing on his experience on the operations side of logistics and sourcing, Nick explains why risks often emerge 60 to 120 days before a shipment reaches the port of origin, and why seeing them early can completely change the decisions teams are able to make. We discuss factory-level visibility, proactive decision-making, supplier performance, hidden “shadow economies,” change management, AI-powered exception handling, and the limits of autonomous decision-making. At its core, this is a conversation about moving supply chains from reacting to problems to seeing them early enough to do something about them.

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