Dr. Karen Hannel

It’s a supply chain summer! Check out all the latest conversations, interviews, and episodes we released this week here at Supply Chain Now. On Monday, we released 3 new episodes! On this episode of Supply Chain Now, Ratelinx’s Nate Endicott, Senior Vice President of Global Sales and Alliances, and Andrew Hooser, Vice President of Customer Solutions, discuss their company’s journey with Co-hosts Greg White and Scott Luton. On This Week in Business History, host Scott W. Luton picks up on the story of 3 legendary pioneers: Marie Curie, Alan Turing and Ed Bradley. On Supply Chain Now en Espanol, host Enrique Alvarez welcomes special guest Demos Perez to the podcast to get an update on supply chain and logistics in Panama and the rest of Latin America. On Tuesday, Mike Griswold, Vice President of Research at Gartner, joined our hosts Scott Luton and Greg White on the Supply Chain Now podcast to talk about the latest in retail supply chains from an analyst’s perspective. On Wednesday, Gifts for Good’s Chief Impact Officer Jenise Steverding joined our Logistics with Purpose podcast to share how she melded a knack for logistics with a propensity for giving back with hosts Enrique Alvarez and…

Special Guest Blog Post written by Matt McKinney, Co-Founder and CEO of Loop   I spend most of my time with supply chain and innovation leaders at major enterprises who are sitting on significant AI budgets but struggling to show measurable business impact in an increasingly complex and volatile supply chain environment.   These conversations have evolved dramatically. A year ago, executives were asking basic questions about AI feasibility. Today, the questions have shifted to strategic implementation at enterprise scale.   Based on hundreds of these discussions, three questions consistently emerge that separate companies making transformational progress from those stuck in pilot purgatory.   How do we move from AI experiments to enterprise-scale impact?   Most organizations have yet to see organization-wide, bottom-line impact from AI use. This is the strategic challenge keeping C-suite leaders awake at night.   The problem isn’t the technology. It’s the application of the technology. Too many enterprises are trying to treat AI like a magic wand they can bolt onto existing systems. But garbage in, garbage out. If your underlying data is fragmented and inconsistent, AI won’t solve your problems; in fact they’ll get worse.   At its core, anything automated is powered by…