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
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.