Revenue Forensics
AI-driven customs revenue protection that identifies undervaluation, misclassification, and duty evasion in real-time using ML models trained on millions of trade declarations.
BorderRev combines five specialised AI models with customs domain expertise to detect revenue evasion across all import channels — simultaneously, on every declaration.
From HS misclassification to undervalued electronics to transfer pricing abuse, each model targets a distinct evasion pattern. Every finding is cited. Every verdict is defensible in a tribunal.
Real-time risk scoring ensures officers focus on high-impact cases. Legitimate trade moves faster. Revenue leakage stops.
BorderRev is a family of specialised AI models — each one solves a distinct revenue-protection problem. Pick the model that maps to your largest revenue leak, or deploy several. Each one is independently auditable and works inside your own infrastructure.
HS code verification, grounded in legal authority
Returns a verdict on every declared customs line — correct, incorrect, or ambiguous — and grounds it in the exact WCO Note, Interpretative Rule, or published ruling that justifies it. Every finding is auditable.
Detect undervaluation against world-price benchmarks
Benchmarks each declared value against trade-data corridors for the same commodity, origin, and trading partner. Flags systematic undervaluation schemes and supports valuation uplift decisions with cited comparators.
Catch origin manipulation and tariff circumvention
Validates declared origin against trade-flow plausibility, preferential rules of origin, and known transshipment corridors. Flags declarations whose stated origin doesn't fit the surrounding trade pattern.
Surface related-party pricing manipulation
Identifies related-party transactions and the pricing anomalies that accompany them — intra-group transfers, hidden ownership chains, and pricing that diverges materially from arm's-length comparators.
A unified score across every other signal
Combines verdicts from the other models — plus trader history and external intelligence — into a single transaction-level risk score with an explainable rationale. Drives examination and audit prioritisation.
Want to see the Classifier on your own data? Arrange a no-risk trial — we run cited findings against a sample of your historical declarations. No long engagement, no procurement overhead.
Real-time import of trade declarations, manifests, and invoice data from customs systems
ML models analyze patterns, valuations, classifications, and relationships against millions of historical declarations
Transaction-level risk scores generated in under 2 seconds with explainable AI rationale
Customs officers use risk scores to prioritize inspections and investigations with full audit trail
Average revenue uplift for early adopters
Risk score generation time per transaction
Classification accuracy on validation sets
Trade declarations in training datasets