AI Customs Tariff Classification
An LLM engine that maps products to legally-defensible HSN customs codes — with interactive disambiguation and bulk processing at scale.
The challenge
Customs (HSN) classification is manual, slow, and legally consequential — a wrong code means fines and delays. Teams need answers they can defend, not a black-box guess.
Our approach
- Hierarchical reasoning that mirrors a customs expert: Section → Chapter → Heading → Subheading, each a distinct LLM step grounded in the General Rules of Interpretation (GRI).
- Cross-level validation and case-law enrichment so every result is auditable and explainable.
- Interactive AI-generated questions narrow ambiguous products to the right code, with cached question banks to cut latency and cost.
- A two-phase, queue-backed bulk pipeline (CSV → questions → classification) on stateless, horizontally-scalable workers.
- Reliability hardening: per-call timeouts, bounded retries, and env-tunable guards so a slow model can never pin a worker.
The outcome
- Defensible, GRI-grounded classifications with a full reasoning trail.
- Bulk classification at scale with versioned history and duplicate detection.
- Configurable preference modes to steer results toward business rules — only where legally defensible.
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