Alastair Taylor

We’re proud to celebrate another industry recognition for Supply Chain Now Founder, CEO, and Host Scott Luton – he has been named one of the ISCEA Top 10 Supply Chain Influencers of 2026. The International Supply Chain Education Alliance (ISCEA) highlights leaders who actively shape the profession by sharing research, perspectives, and practical insights that help advance the global supply chain conversation. (ISCEA) Scott’s inclusion reflects the spirit of the Supply Chain Now community: real conversations, practical takeaways, and a commitment to connecting practitioners across industries and roles. Through interviews, events, and ongoing dialogue with leaders around the world, his goal has always been to amplify voices and help move the industry forward together. We’re grateful to our listeners, partners, and guests; this recognition belongs to the entire community that shows up and shares knowledge every day. Check out the entire list and learn more about ISCEA here.

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…