Ashely Teasdel

Another great week here at Supply Chain Now! Have you listened to all the episodes? If not, no worries! Check them all out here: We added a special Saturday episode on May 9th and featured another speaker from the 2020 AIAG CR Summit, Eric Kane with Bloomberg, and his insights from the conference.   On Monday, we continued our Supply Chain Super Trends series with Sarah Barnes-Humphrey with Let’s Talk Supply Chain. Supply Chain Super Trend #3 focused on a holistic approach to supply chain TALENT.     Mike Griswold with Gartner joined us for another excellent livestream last week, and we published it as a podcast episode on Tuesday. He shared his latest observations on how COVID-19 is impacting global supply chains. A MUST-listen!     We continued our interviews with the speakers from the AIAG CR Summit on Wednesday, with great insights from Dr. Assheton Carter with TDI Sustainability.     Thursday we published our popular Supply Chain Buzz, with Scott and Greg sharing and discussing the latest news and events in Supply Chain and beyond.     And on Friday, we wrapped up the interviews with the extrordinary speakers from the AIAG CR Summit, with Brian Rich…

Special Guest Blog Post written by Dr. Johannes Hangl with e2open   AI is no longer an experiment in global trade compliance. It’s already being applied in product classification, document-to-declaration workflows, risk targeting, and sanctions screening. At the same time, regulators and customs authorities are adopting AI themselves. This is raising expectations for data quality, transparency, and governance across the entire trade ecosystem. With the EU AI Act set to apply from August 2026, companies that have not yet implemented human-in-the-loop controls, drift monitoring, and defensible audit trails are running out of time to close the gap.   Where AI is already adding real value today: HS and ECN classification   Product classification has become one of the most practical AI use cases. Modern tools can now suggest harmonized system (HS/ HTS) and export control (ECCN) codes, explain the rationale, and attach confidence scores and audit metadata to each decision. This direction mirrors what customs authorities are doing. Administrations such as German Customs have discussed using machine learning to improve targeting and risk detection. It appears both sides of the border are moving toward data-driven decision support. AI does not remove accountability. It changes how accountability is exercised.   Practical…