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Carsten Wutzler

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MODEX 2026
May 28, 2026

The Supply Chain Whisperer on Why Practicality Still Wins

At MODEX 2026 in Atlanta, Scott Luton sat down with Christine Barnhart, Head of Industry Engagement & Alliances at Miebach. She is known by many across industry as “The Supply Chain Whisperer.” Their conversation covered everything from AI and supply chain maturity to workforce evolution and the importance of practical execution. Through it all, Barnhart offered a grounded perspective shaped by years of operational leadership and transformation work. And if there’s one central takeaway from the discussion, it’s this: the companies that succeed won’t be the ones chasing hype. But they WILL be the ones building resilient, executable supply chains.   There Is No “Normal” Anymore Supply chain leaders have spent years navigating disruption, but Barnhart believes the industry has finally reached an important realization. “People have finally come to this conclusion that there is no such thing as normal anymore,” she explains. That mindset shift is changing how organizations think about planning, investment, and agility. Network design exercises that once happened every three to five years are now being revisited continuously. Companies are investing in tools that shorten decision cycles and improve responsiveness in near real time. The old approach that focused on “design once, optimize later” – –…
logistics
August 21, 2025

Hire, Onboard, Manage: Treating AI Agents Like New Team Members

Special Guest Blog Post written by Deborah Dull   Imagine it’s launch season in your supply chain, and a team of AI agents is hard at work: coordinating shipments with suppliers, allocating inventory, and handling a missed delivery. It’s hard to go a day without hearing about the latest AI headlines: new LLMs, new applications, new use cases. These discussions are part of my every day. Business leaders and IT teams are eager to explore – and they have a lot of questions… and apprehension. In these discussions, we have found one framework that lands consistently: consider AI agents like new hires, not new software.   Step 1: Hire Like You Mean It Just like hiring humans, this step is about defining what you need. The first decision is the purpose of the role: what problems are you trying to solve? Where are your people overwhelmed? Where is your business growing in coming months? From here, the next decision is to build the business case just like you would for a new headcount. For example, consider the ROI of having a digital employee who can process supplier performance data 24/7. Now, decide on the type of agent that will join…