Anthony Clervi

Stay up to date on all the latest conversations, interviews, and episodes we released this week here at Supply Chain Now. We started our week off by publishing a Digital Transformers episode hosted by Kevin L. Jackson. This week he welcomes special guest Trina Limpert with RizeNext. On This Week in Business History, Scott shares a special story that is near and dear to his heart. This episode highlights Scott’s grandfather Dick Rutland. Scott highlights his grandfather’s experiences with Winn-Dixie and Kimberly Clark. On Tuesday, we released an episode of TEKTOK with hosts Scott Luton and Karin Bursa. These two had the amazing opportunity to interview Matthew Harding SVP of Data Science & Engineering, and Ben Cubitt, SVP of Consulting and Network Services at Transplace. For this episode of Supply Chain Now Scott and Greg had the opportunity to interview two important UPS figures: Daniel Gagnon, Vice President of Global UPS Healthcare Marketing and Strategy, and Tim Fosnough, Senior Director of UPS Global Freight Forwarding. During this conversation, UPS responses to the COVID-19 pandemic were discussed. On Thursday, we also released another episode of the Supply Chain Buzz featuring Aaron Meredith from Verusen. Scott, Greg, and Aaron covered all the…

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…