Azuka Okeke

Stay up to date on all the latest conversations, interviews, and episodes we released this week here at Supply Chain Now! On Monday, we started the week off with a special episode of our #SupplyChainCity series Supply Chain Now with Scott Luton and special host Ben Harris. These two chat with Stacey Key, President and CEO of the Georgia Minority Supplier Development Council, and George Richter, SVP of Supply Chain Management at Cox. On This Week In Business History, Kelly covers the stories of three unsung heroes who have contributed their knowledge and talents to a few surprising industries. On Tuesday, we released a classic TEKTOK episode with host Karin Bursa, and featuring Craig Ablin, a supply chain management expert who has spent over 25 years in the industry. On Wednesday’s episode of Supply Chain Now, Scott welcomes back special guest host Ward Richmond and professional OTR driver and training engineer for Schneider, Kellylynn McLaughlin. On Thursday, Scott and guest host Tony Sciarotta welcomed Executive Chairman of G2 Reverse Logistics, Herb Shear, in another episode of our Reverse Logistics Series. On Friday, we published Monday’s Supply Chain Buzz livestream. Scott and Greg welcomed James Malley, the Co-Founder and CEO of…

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…