Mark Brown

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…

Most systems don’t fail all at once. They slow down, back up, and quietly break when demand hits from every direction at once. What passed testing last week suddenly struggles under peak volume, overlapping processes, or hours of sustained use. This white paper challenges the idea that one type of performance test is enough. It shows how load, stress, and endurance testing work together to reveal what your system will actually do when it matters. Because confidence doesn’t come from passing a test. It comes from knowing how your system behaves under pressure. What You’ll Learn: Why performance issues slip through even when testing is in place What load testing really proves, and where it falls short How stress testing exposes breaking points before production does Why endurance testing uncovers slow failures most teams miss How to combine all three approaches into a practical, repeatable strategy What performance testing looks like across real ERP, WMS, and supply chain workflows How to move from one-time testing to continuous performance confidence If your systems only pass tests under ideal conditions, you’re still guessing. Download the white paper to see how a layered performance testing strategy helps you find issues early, fix them…