Mary Kate Love

Traditional supply chains react, while Adaptive Supply Chains are built to anticipate and evolve. Learn how these strategies can transform your supply chain and multiply margins despite today’s turbulent market environment. Supply chains are more than just something to manage. They’re a strategic asset to the organization – driving long term, sustainable growth by constantly adapting to a fast-changing world. In this white paper, you’ll learn: The three pillars that make up an adaptive supply chain Six practical strategies that can help you achieve the three pillars of an adaptive supply chain Real life use cases on how companies like yours are using these strategies to maximize operational performance, profitability, and sustainability   Download the “6 Strategies for Building an Adaptive Supply Chain” white paper here to learn more  

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…