Dr. Glenn Richey

Supply Chain Now is the voice of the supply chain industry, and our hosts are experts in the field. Podcast listeners tune in to hear the words of wisdom from host Marty Parker, whose practical advice is taken everywhere from the classroom to the C-suite. An Educated Voice in Supply Chain Parker certainly has the supply chain chops to back up his advice. He has 30 years of experience in the supply chain C-suite (COO, CMO, CSO), is the founder and CEO of Adæpt Advising, and is an award-winning senior lecturer in supply chain and operations management at the University of Georgia. He also founded and leads UGA’s Supply Chain Advisory Board, is the academic director of the university’s Leaders Academy, and serves on multiple advisory boards, including the Trucking Profitability Strategies Conference, Zion Solutions Group, and Carlton Creative Co. Mentoring on Campus and in the C-suite Parker’s mentoring carries supply chain stakeholders from their student days to the C-suite. At UGA, he helps his students network and land internships and post-graduation jobs. Through Adæpt Advising, he works with C-suite executives to improve their skills, become better leaders, and develop strategic plans with detailed action steps and financial targets. He…

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…