April Harrison

Stay up to date on all the latest conversations, interviews, and episodes we released this week here at Supply Chain Now! We kicked the week off with a special episode of Digital Transformers with host Kevin L. Jackson and Scott Luton. This episode also featured the Vice President of Strategic Customers at Ratelinx, Andrew Hooser. During this episode Andrew talks about how Ratelinx helps companies unite their data and take action. For This Week In Business History Kelly covers stories from plumbing inventors to a black woman holding incredible records for having a substantial amount of patents. For this episode of Supply Chain Now host Scott gets to chat with the CEO and co-founder of Tommy Run, Bernard Parks and Tandreia Bellamy. One topic that is discussed includes why logistics is an important part of EVERY business model because “everything has to touch a truck”. On Wednesday we released an episode of Logistics With Purpose with host Enrique Alvarez and Kristi Porter. This episode also features Audra Weddle, Shipping Director and Ryan Grabill, Director of International Disaster Service, for Convoy of Hope. This episode focuses on Convoy of Hope and the logistics of disaster outreach. For this special Thursday feature…

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…