John Wharff

Change is certainly going to come, and a number of developments are expected to impact the supply chain in 2025. That includes the increased adoption of artificial intelligence (AI) and robotics, investment growth in renewable energy, and momentum gains for nearshoring. No matter what happens in 2025, Supply Chain Now will be there every day to serve as the voice of the industry and keep supply chain podcast listeners informed about the big ideas as well as the little changes that could make a big impact. Ongoing Disruptions Are Set to Impact Industry The question isn’t whether there will be supply chain disruptions in 2025. It’s a matter of when, where, and the cause of the disruption. The International Longshoremen’s Association could go on strike again in January if a contract agreement is not reached. The Houthi could stage more attacks on containerships in the Red Sea at any time. And weather-related disasters could range from deadly ice storms to floods to hurricanes anywhere in the country. “Looking ahead to 2025, we can predict some major shifts and challenges for supply chains. Right now, businesses around the world are facing increasing pressure to adapt to new technologies, environmental impacts, 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…