Shan Muthuvelu

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.

At Gartner Supply Chain Symposium/Xpo 2026 in Orlando, some of the sharpest minds in supply chain gathered to tackle one central question: what does the next operating model for supply chain actually look like? In a special livestream conversation, Scott Luton sat down with Mike Griswold, VP Analyst at Gartner, alongside fellow Supply Chain Now hosts Karin Bursa and Jake Barr, to unpack the biggest themes emerging from this year’s symposium. The consensus? Supply chain leaders are moving beyond AI fascination and toward something much bigger: redesigning how decisions, workflows, and organizations operate.   AI Is No Longer the Story. Outcomes Are One of the strongest themes from the event was a more mature, pragmatic approach to AI adoption. According to Mike Griswold, many organizations are finally moving past the “shock and awe” phase that dominated conversations a year ago. “People need to figure out exactly what problem or problems AI is going to solve for them,” Griswold explains. That may sound simple, but it represents a significant shift. Instead of experimenting with AI for AI’s sake, companies are becoming more disciplined about identifying operational value and measurable business outcomes. Griswold also warns against a familiar trap: creating “highly efficient…