Monica Fullerton

Another great week here at Supply Chain Now! Did you catch all the episodes? If not, you can check them all out here: We kicked off the week with This Week in Business History, where Scott looks back at some of the biggest historical events in business history for the week ahead.   Supply Chain Now · “June 22nd- This Week in Business History: The Birth of the Universal Product Code”   Then on Tuesday, Scott and Greg welcomed Jeff Cashman with GreyOrange to the podcast for a conversation on robots, automation, and so much more   Supply Chain Now · “Modern Fulfillment Demands Modern Systems: Jeff Cashman with GreyOrange”   On Wednesday, we launched another new series, TECHquila Sunrise with Greg White, where Greg shares the latest investments, acquisitions, innovations, and glorious implosions in Supply Chain Tech every week.   Supply Chain Now · “The Dawn of a New Day: TECHquila Sunrise with Greg White”   On Thursday we published the Supply Chain Buzz, where Greg and Scott discussed the top supply chain news of the week.   Supply Chain Now · “Supply Chain Buzz for June 22nd: Pharma, Late Deliveries, ECommerce, & More”   And we wrapped up…

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…