TRADE

Classify products to HS codes with confidence, not guesswork

RGL8R provides AI-assisted HS classification with confidence scores, batch processing, and a review workflow so your team can validate before committing to a classification.

Key capabilities

AI-assisted HS code suggestions from product descriptions
Confidence scoring with reviewable evidence for each suggestion
Batch classification API for catalog-scale processing
Preview classification with operator review before commit
Origin and destination country context for accurate mapping
REST API integration for automated classification pipelines

Anonymized proof

Validated compliance signals from catalog review work

These proof points are sourced from approved commercial material and pilot context data, with customer-identifying details removed under ADR-002.

Catalog risk spike

$935K

Three-week SIMA charge spike found in one anonymized large-catalog retailer review.

Ongoing exposure band

$300K-$450K/mo

Monthly preventable compliance exposure indicated before automated screening controls.

Attribute validation payoff

$96K -> $0

Manual review of product attributes eliminated a projected monthly exposure flagged by HS-only analysis.

Get started

Try it free in Sandbox or explore the documentation to see how it fits your workflow.