Micah Mallace

Supply Chain Now has been full of great conversations, key takeaways, and inspiring stories from some amazing business leaders this week. Make sure you catch all the latest episodes, interviews, conversations, and livestreams right here for all the hottest supply chain news! On Saturday, Steve Britt, senior manager for customs at Fiat Chrysler Automobiles, joins us in partnership with AIAG – Automotive Industry Action Group’s 2020 Supply Chain Summit to talk about his role and thepartnership between industry and US Customs and Border Protection.     On Monday, Scott and the Vector Global Logistics team sat down with Steven Stirling from MAP International for an episode of our Logistics with Purpose series to hear Steven’s inspiring story that made him dedicate his life to bringing critical medicines and health supplies to some of the world’s poorest people.   On Tuesday, TEK TOK Digital Supply Chain Podcast with host Karin Bursa welcomed industry trailblazer Lora Cecere, CEO of Supply Chain Insights, to hear about Lora’s career path     On Wednesday, Scott and Greg sit down with Bob Bova from AccuSpeechMobile to the Supply Chain Buzz to talk about how voice automation in the warehouse is increasing producitivity and announcing na…

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…