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BorderRev's HS classification verification engine returns a verdict on every declared customs line, and grounds it in the legal authority that supports it. Built for customs administrations that need findings which stand up in a tribunal.
The Harmonised System is complex: over five thousand commodity groups, layered with Section Notes, Chapter Notes, General Interpretative Rules, and national extensions. At national volumes, manual verification of every declaration is not viable.
Rule-based automation alone produces false positives that can't be defended in an appeal. Generic AI tools produce answers without accountability. Neither is good enough for a revenue authority.
Three resolution paths handle every line at machine speed. The simplest path that produces a defensible answer wins, so the system gets faster and more autonomous the more it sees.
Most declarations have a near-identical predecessor. When a match is found, the cached verdict is returned in milliseconds with its original citations, without re-running the reasoning.
Deterministic legal rules encode the WCO Notes and General Interpretative Rules. When a rule resolves a case, the answer is a direct citation of the legal text, with no inference required.
The residual tail of genuinely ambiguous cases is sent to the AI adjudicator. Every output is validated against the knowledge repository before it becomes a verdict.
Confidence scores map directly to downstream workflow actions. No manual triage queue needed, because verdicts route themselves.
Immediate examination or post-clearance recovery action. Strong evidence, clear citation.
No further action required. Result is cached so the same declaration is never re-verified.
Risk-scored alongside other signals: valuation, origin and trader profile.
A human analyst is assigned, with full case context. Their decision is written back to memory.
Every verdict carries a live chain back to the specific legal instrument that supports it: the Note, the General Interpretative Rule or the published ruling. The chain is structured, not narrative: source type, publication date, retrieval date, ingestion run.
When a finding is challenged in a tribunal, the legal basis is already documented. There is no separate evidence-gathering step.
A Spanish declaration of "tabletas de levofloxacino" and an Arabic declaration of "أقراص ليفوفلوكساسين" both reach the same canonical record without a translation step.
Once the canonical record is established, every supported language hits the same cached decisions. You don't re-verify a product for every language separately.
On 1 January 2027, every customs administration in the world transitions to a new nomenclature edition. Historical decisions are keyed to the old edition; new declarations to the new one.
The Classifier already serves both editions in parallel. Straightforward 1:1 code mappings carry forward automatically. Ambiguous 1:N mappings are flagged for review ahead of the cutover.
The Classifier is built to run inside your own infrastructure. The classification pipeline, the knowledge repository and the decision cache all run on-premises.
Where the AI adjudicator is used, only anonymised classification metadata leaves the deployment, with no raw goods description, no declarant identity and no commercial values. For administrations with strict residency requirements, an air-gapped mode uses a locally hosted reasoning model instead.
Every verdict is written back to memory, whether it was resolved from cache, by rule, by the AI adjudicator or by an officer. Over time, the share of declarations resolved instantly from memory grows, while the residual tail that needs fresh reasoning shrinks.
A case the system escalates today becomes a routine cache hit once it has been resolved. Accuracy compounds without retraining; throughput improves without scaling spend.
We run a short trial against a sample of your historical declarations, return the cited findings, and you keep the verdicts. Nothing further is required of you.