Dr. Shay Scott

Another great week here at Supply Chain Now! Have you listened to all the episodes? If not, you can check them all out here: On Monday, Scott and Greg welcomed Mark Messina & Simon Houghton of Geek+ to the podcast!     Scott and Greg also welcomed Mike Griswold from Gartner to SCN Live to talk about all the latest supply chain news.     On Tuesday, Scott and Greg welcome Allison Krache Giddens of Win-Tech, Inc. to the podcast in collaboration with AIAG’s Supply Chain Summit.     Michael Neme joined host Jamin Alvidrez on Logistics & Beyond on Tuesday as well to share his mindset and some of the keys to his passion: Supply Chain Consultative Sales.     On Wednesday, Scott and Greg welcomed Karin Bursa and Jamin Alvidrez for the Supply Chain Buzz, to discuss the top news in supply chain for the week.     Also, Scott and Greg discussed the top news in supply chain with special guest, Guy Courtin of 6 River Systems     On TECHquila Sunrise this Thursday, Greg White welcomed Kinaxis CEO John Sicard to the podcast.     And on Friday, we ended the week with Scott & Greg…

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…