Stephanie Stuckey

It has been another busy week for Supply Chain Now! Did you catch all the episodes? If not, no worries! Check them all out here:   We started out the week with a new episode in our Logistics with a Purpose series sponsored by our good friends at Vector Global Logistics. Listen as Scott, Greg, and Enrique have a great conversation with Mickey Horner with Rise Against Hunger.     On Tuesday, Scott and Greg were joined by AIAG’s CR Summit speaker Joerg Walden, CEO of iPoint.     Then we published the new and improved Supply Chain Buzz, with Scott and Greg sharing and discussing the latest news and events in Supply Chain and beyond.     Scott and Greg were joined by Randy Strang with MedShare on Thursday for another episode in the Logistics with a Purpose series, sponsored by Vector Global Logistics.     And to wrap up the week, Scott and fellow host Fred Tolbert with Demand Solutions were proud to host three exceptional Supply Chain students from the University of Georgia’s Terry College of Business.  

Supply chain organizations have never lacked data. What they have often lacked is the ability to connect it, normalize it, trust it, and turn it into better decisions. That was one of the central themes in a recent conversation between Scott Luton and Matt McKinney, Co-Founder and CEO of Loop. Drawing on his experience helping build Uber Freight and now leading a logistics technology company, McKinney offered a clear-eyed view of where AI is already creating value, as well as why the data foundation still matters more than the model itself. The Real Problem Is Not Data Volume McKinney traces Loop’s origins back to a recurring problem he and his co-founder (Shaosu Liu) saw at Uber Freight: rapid growth on the revenue side paired with a back office still dependent on people manually reconciling invoices, contracts, proofs of delivery, and surcharges. The bigger realization was that this was not unique to Uber. “The thing people miss is that the value isn’t in the quantity of data, it’s in the utility of it,” McKinney explained. “Most companies have plenty of data. What they don’t have is data that connects.” That disconnect is especially painful in logistics, where data is scattered across…