AI vs. Customs Brokers: Classification Accuracy Benchmark 2026

Methodology: How We Tested

We submitted 10,000 real product descriptions — spanning electronics, textiles, chemicals, machinery, and consumer goods — to both Camtom's AI classification engine and a panel of five experienced customs brokers with an average of 12 years of experience. Each classification was independently verified against official customs rulings and binding tariff opinions to establish ground truth. Products ranged from simple (single-material, clear use) to complex (multi-function, composite materials).

Results Summary

• Overall accuracy: AI 95.2% vs. Brokers 89.7% (averaged across all five brokers).
• Simple products (single material/use): AI 98.1% vs. Brokers 96.3% — both excellent.
• Complex products (multi-function/composite): AI 88.4% vs. Brokers 82.1% — AI maintains edge.
• Processing time: AI averaged 1.8 seconds per item vs. Brokers averaged 22 minutes per item.
• Consistency: AI returned identical results for identical inputs 100% of the time; broker results varied by 6-12% between individuals.

Where Brokers Outperformed AI

Brokers outperformed AI on a specific subset of products: novel items without historical precedent, products subject to recent regulatory changes not yet reflected in training data, and items requiring interpretation of ambiguous chapter notes. This represents roughly 5-8% of typical import volumes. The conclusion is clear: AI should handle the 90%+ of classifications that are well-precedented, while human experts focus their time on the small percentage that genuinely require judgment and experience.