Christian Fischer

What a week! Five episodes, four livestreams, and so much to listen to and watch! Did you catch all the episodes? If not, listen here! On Monday, we featured another great episode in This Week in Business History, where Scott looks back at some of the biggest historical events in business history for the week ahead. This week, he spoke about the business legacy of the Apollo missions.   Supply Chain Now · “This Week in Business History for July 20th: The Legacy of the Apollo Program”     Then on Tuesday, Chris Barnes proved that Supply Chain is in fact anything but boring with a cross-over episode of Supply Chain is Boring with Data & WMS Pioneer, special guest John Hill.   Supply Chain Now · “Data Collection is Boring: Data and WMS Pioneer John Hill on Supply Chain is Boring”     On Wednesday we published the Supply Chain Buzz, where Greg and Scott discussed the top supply chain news of the week, and were joined by special guest David Shillingford, Chairman of Resilience360.   Supply Chain Now · “The Supply Chain Buzz for July 20th Featuring David Shillingford with Resilience360”   On Thursday, we shared another great…

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…