Ara Arslanian

Stay up to date on all the latest conversations, interviews, and episodes we released this week here at Supply Chain Now! We kicked this week off with a special episode of Supply Chain Now featuring Mike Griswold. Scott, Kelly, and Mike discuss the key takeaways from the Gartner Supply Chain Symposium/Xpo 2021. For Monday’s This Week In Business History, Kelly gives insight on two notable figures who have made some amazing strides in theoretical economic science research. On Tuesday, we released an episode of Supply Chain Now with host Scott Luton. Scott had the opportunity to chat with Theodora Lau the Founder of Unconventional Ventures and Bradley Leimer the Co-Founder of Unconventional Ventures. They discuss some of the amazing points in their book titled “Beyond Good: How Technology Is Leading a Purpose-Driven Business Revolution.” We also released an episode of Logistics With Purpose this week. Host Enrique and Monica talk with Dave Schweidenback the Founder and CEO of Pedals for Progress. Dave shares the story behind the logistics of shipping 4,800 bikes across 45 different countries. For Thursday’s Supply Chain Now episode Scott interviews communications expert Monique Russell from Clear Communications, LLC. This conversation is all about effective communication and…

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…