Greg Davis

It has been another busy week for Supply Chain Now! Did you catch all the episodes? If not, no worries! Check them all out here:   We started out the week with a new episode in our Logistics with a Purpose series sponsored by our good friends at Vector Global Logistics. Listen as Scott, Greg, and Enrique have a great conversation with Mickey Horner with Rise Against Hunger.     On Tuesday, Scott and Greg were joined by AIAG’s CR Summit speaker Joerg Walden, CEO of iPoint.     Then we published the new and improved Supply Chain Buzz, with Scott and Greg sharing and discussing the latest news and events in Supply Chain and beyond.     Scott and Greg were joined by Randy Strang with MedShare on Thursday for another episode in the Logistics with a Purpose series, sponsored by Vector Global Logistics.     And to wrap up the week, Scott and fellow host Fred Tolbert with Demand Solutions were proud to host three exceptional Supply Chain students from the University of Georgia’s Terry College of Business.  

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…