Tevon Taylor

Special Guest Blog Post written by Bernadine Henderson Ms. Henderson, senior director of procurement at Protolabs, lifts the lid on buying in manufacturing and why relationships are central to it.   Simply put, the job of a buyer is really about buying the right thing at the right time for the right price. It sounds simple, but it really is very complicated because everything that’s going on in the world impacts the timing, the availability, and the price of the product. This means that buying has recently got a lot more complicated. World events have very real consequences on global supply chains. Just one example is the way in which buyers have responded to tariffs in the U.S. by re-routing sourcing locations. It takes a certain amount of agility to be a buyer in 2025, and this quick responsiveness is helped along by one key ingredient, and that is strong relationships with suppliers. Relationships Built on Trust A widely held misconception is that buyers are only interested in getting to the lowest price possible. In fact, the most important thing to a buyer is for suppliers to bring solutions that deliver overall value. In my experience, a really strong supplier…

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…