Language
Multilingual analysis
Work with descriptions in French, English, Chinese and other languages.
Customs Hub · MAATAI Nomen
Classify products across languages, with defensible tariff logic.
Multilingual product classification and support for tariff classification.
MAATAI Nomen is a separate product in the MAATAI Risk Management suite. It analyzes commercial descriptions, invoices and supporting documents in several languages to detect vague descriptions, propose plausible HS codes and support the agent with a documented reasoning path.
Nomen workflowv1.0
01
Read
Detect languages and extract product meaning.
02
Compare
Match descriptions with nomenclature and history.
03
Document
Produce a traceable classification note.
Nomen in use
Describe the product. Read the evidence. Propose a reasoned classification.
The Nomen console brings together origin, destination, product description, documents, images and voice. It returns HS classification suggestions with confidence and reasoning that the officer can review, correct and validate.
Multilingual classification consoleOne workflow to describe, attach evidence, classify, read the reasoning and record expert feedback.
Product classification
UnderstandAnalyze product descriptions and supporting evidence in their original language.
SuggestPresent one or more plausible HS codes with confidence and documented reasoning.
ValidateLet the officer correct, comment on and trace the final classification decision.
What Nomen brings
A structured aid, not an automatic tariff decision.
The tool supports the reasoning process. It does not replace the legal judgment of the customs administration.
Quality
Weak wording detection
Identify vague or generic product descriptions that weaken controls.
Suggestion
Plausible HS codes
Generate ranked suggestions with supporting elements and uncertainty.
Consistency
Cross-document checks
Compare declared codes with descriptions, invoices and operator history.
Use cases
Where product intelligence helps most.
Nomen is useful when descriptions are weak, documents are multilingual or the classification history of an operator shifts over time.
01
Generic descriptions
Detect labels that are too broad to support a robust tariff decision.
02
Description-code mismatch
Flag inconsistencies between what is declared and what is described.
03
Operator drift
Compare current declarations with past classification patterns.
Test Nomen on a real case.
A short pilot can use a limited set of declarations and documents to assess value quickly.