Kim Snyder

In a recent conversation, 4flow’s Akhilesh Mohan joined Scott Luton with Supply Chain Now to explore a critical shift underway in global supply chains: the move from siloed functional optimization to truly connected decision-making. The discussion highlights a growing realization across the industry. As organizations continue to invest heavily in digital platforms, Mohan makes it clear: the next wave of value won’t come from adding more tools, but from aligning how decisions are made across the enterprise ensuring those decisions are connected end-to-end.   Beyond Systems: The Rise of Decision Integration For years, companies have digitalized supply chains function by function: ERP systems, planning tools, warehouse management, transportation platforms. While necessary, these investments often created islands of capability rather than a cohesive whole. Despite this investment of technology, Mohan says “in many organizations those capabilities still operate in silos ,” limiting the value companies hoped to achieve. The result? Planning, logistics, manufacturing, and customer service frequently operate with different priorities and incomplete visibility. Mohan emphasizes that the real transformation lies in connecting these decisions: “It is less about having more systems and more about making those systems, processes, and teams work together.” This is the shift from system integration to…

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…