Lee Scheumann 

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…

At the Gartner Supply Chain Planning Summit in Denver, Scott Luton sat down with Caglar Ozdag, a supply chain leader at ZS. Known for its deep analytics and technology expertise across industries such as life sciences, airlines, consumer goods, and agriculture, ZS has become a trusted partner for organizations looking to elevate their planning and manufacturing performance. Ozdag leads the firm’s supply chain practice with a focus on planning from detailed forecasting through detailed scheduling. As a former practitioner himself—having led planning operations at large global enterprises—he brings a grounded, real-world perspective to the challenges facing today’s supply chain leaders.   Old Problems Persist—and New Ones Are Emerging When asked about classic and emerging challenges in planning, Ozdag didn’t hesitate: firefighting isn’t going away. From supply planning disruptions to last-minute schedule changes, firefighting remains a daily reality. “Life happens,” Ozdag noted. Plans rarely match reality, and organizations must constantly adjust. But today, a new layer has been added: AI uncertainty. Everywhere he goes, leaders are asking the same questions: “Is AI the right investment?” “Will the ROI materialize?” “Are we adopting the right tools, or just chasing hype?” This blend of enduring complexity and emerging skepticism has become a defining…