*Hosted by Andrei Palamariu*

AI in supply chains is entering a new phase as freight forwarders move beyond individual automation tools toward connected workflows across the shipment lifecycle. From spot quotations and shipment bookings to customer communications and delivery coordination, AI agents are opening new opportunities for logistics operations.

In this episode, I speak with Erik Muttersbach, Founder and CEO of Zauber, about the shift from point solutions to end-to-end automation in freight forwarding. Drawing on nearly a decade of experience building Forto, Erik explains why traditional automation struggled with unstructured data, operational exceptions, and customer-specific requirements, and how agentic AI could address these challenges.

We explore practical applications of AI in supply chains, the importance of operator buy-in, and what it takes to implement AI agents across existing systems and processes. Erik also shares why the return on AI investment goes beyond productivity savings to include better customer service, stronger margins, and improved operational control.

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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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