In the competitive global trade landscape, automated HS code classification is useful for managing high classification volumes with more consistency. Manually classifying a large product catalog becomes difficult when thousands of items require individual research and review. AI, structured product data, and review workflows can make the process more manageable. However, automation should improve efficiency without removing appropriate human oversight. A process through which software handles repetitive classification activities while compliance teams review results that require additional consideration is important. This approach can help limit extensive manual effort while maintaining greater consistency across product classifications and supporting the ongoing management of large catalogs.
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