Todd Kovi

Special Guest Blog Post written by Gary Smith, CPIM-F, CSCP-F, CLTD-F, Author of “The Bridge,” Supply Chain Engineer, and Educator   1. Do Supply Chains exist in the public sector? The short answer is “YES!” I spent the first 25 years of my career in the private sector where I worked in warehouse operations, industrial engineering, and consulting, all in the logistics andsupply chain area. I cut my teeth on retail, automotive, chemical, food and beverage, publishing, and manufacturing. During that time, I also completed projects for the public sector in education and for the Department of Defense. In 2005 I was named Director of Supply Chain Operations for the New York City Housing Authority (NYCHA). We operated a 200,000 sq. ft. warehouse that shipped repair material to 335 developments in New York’s five boroughs. In 2013, I was named Vice President of Supply Logistics for New York City Transit, the largest public transportation organization in North America. We operated over 1.5 million sq. ft. of warehouse space covering all of New York City. Several years ago, I was on a national committee for the Association for Supply Chain Management (ASCM). We created this elevator speech to describe Supply Chain…

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…