TRADUTRON AI / PRODUCT LANGUAGE INTELLIGENCE

Every language.
Still your brand.

TraduTron AI turns your approved translations and technical terminology into a foundation for multilingual content. It helps extend your product language without losing what makes it yours.

TRANSLATION MEMORY

PRODUCT CONTEXT

MULTILINGUAL PUBLISHING

TRADUTRON / LANGUAGE MEMORY

CONTEXT ACTIVE

SOURCE / IT

ORIGINAL

Cucina componibile

Approved product terminology

EN

Modular kitchen

Approved translation

REUSED

DE

Modulküche

Approved translation

REUSED

FR

Cuisine modulaire

Approved translation

REUSED

Illustrative example · Existing knowledge comes first.

✓

01

Preserve

Existing translations belong to your product heritage.

02

Understand

Words take meaning from product families and technical context.

03

Extend

New languages start from what the business already knows.

04

Publish

Multilingual content can flow into established publishing channels.

01 / THE DIFFERENCE

Translation is easy.
Keeping your meaning is hard.

A generic translator knows words. Your business knows its products, approved naming and technical conventions. TraduTron begins with that knowledge.

WITHOUT PRODUCT MEMORY

Every sentence
starts from zero.

Technical terms may vary between catalogues, languages and publication cycles.

✕ Inconsistent terminology

✕ Approved wording may be overlooked

✕ More editorial rework

WITH TRADUTRON AI

Your company
speaks consistently.

Previous translations provide a trusted reference for contextual suggestions.

✓ Reuse approved language

✓ Consider product context

✓ Extend to additional languages

02 / TRANSLATION MEMORY

Your translations
are an asset.

Years of translated articles, technical descriptions and catalogues should not disappear when AI arrives. They become the reference that guides the next translation.

Approved terms remain an authoritative reference.

Similar product descriptions provide useful context.

Ambiguous cases can be surfaced for review instead of being silently guessed.

AI extends your linguistic heritage. It does not have to erase it.

TRANSLATION MEMORY / CONTEXT RETRIEVAL

REFERENCE LIBRARY

ITALIAN · SOURCE TERM

Cestone

The meaning depends on the product and its context.

PRODUCT FAMILY

Kitchen storage

Approved wording and related examples

CONTEXT CHECK

Drawer or deep drawer?

A contextual decision, not a random synonym

REUSE → REVIEW → LEARN

ILLUSTRATIVE EXAMPLE

03 / LEARNING ENGINE

Teach the logic.
Not just the words.

A translation rule can fix a term. A TraduTron Brain can teach an entire way of translating: technical vocabulary, language conventions, semantic checks and dimensional expressions.

TraduTron combines targeted instructions with reusable linguistic knowledge and final output rules.

01 / BEFORE

RULES · PRE

Set the
translation rules.

Instructions applied before translation guide how the AI interprets product terms and special cases.

EXAMPLE / PRODUCT TERMINOLOGY

Use the furniture-industry meaning of technical terms in this language.

By language and content type

02 / INTELLIGENCE

TRADUTRON BRAINS

Teach a whole
translation logic.

Reusable instruction layers give the AI a consistent strategy, beyond isolated word substitutions.

01

Core Brain

Global strategy and company language

02

Language Brain

Rules for the destination language

03

Sanity Brain

Meaning and semantic checks

04

Dimension Brain

Measurements, units and formats

The same learned logic can guide new translations.

03 / AFTER

RULES · POST

Make the output
consistent.

Post-translation replacements and syntactic conventions refine the result after the AI has generated it.

EXAMPLE / FINAL OUTPUT

Standardize an agreed term, spelling or dimensional notation.

Consistent terminology across product records

A language can have precise PRE/POST rules and specialized Brains. Teaching becomes part of the translation workflow, not a repeated manual correction.

04 / RAG · TRANSLATION MEMORY

Remember more.
Guess less.

RAG searches the catalog’s translation memory for relevant source-to-target examples. It brings prior translations back into the process precisely when they are useful.

Source-language retrieval finds similar technical descriptions.

Target-language pairs bring back existing translations.

Context for the Brains helps resolve ambiguity instead of choosing randomly.

RAG is a translation-memory engine, not a generic product chatbot.

TRADUTRON RAG / MEMORY SEARCH

IT → EN

SOURCE TEXT

Coppia divisori per cestone

Search in source language · Retrieve source/target pairs

CATALOG MATCH

EN

Pair of dividers for deep drawer

ALTERNATIVE

EN

Pair of dividers for drawer

AMBIGUOUS MATCH

Both are relevant. The Brains receive context to help choose the appropriate wording.

ILLUSTRATIVE RAG QUERY · NOT A LIVE RESPONSE

01

Exact & unique

A single trusted match can be reused directly.

02

Ambiguous / fuzzy

Relevant prior examples become context for the translation Brain.

03

No useful match

The regular translation process continues with its configured instructions.

05 / THE WORKFLOW

A more intelligent way
to translate product knowledge.

Preserve, understand, extend and reuse. Translation becomes part of a continuous content process instead of a separate task.

01

Collect

Bring source texts and existing translations together.

02

Retrieve

Find relevant terminology and approved examples.

03

Propose

Create contextual proposals for missing translations.

04

Review & reuse

Resolve ambiguity and keep future output consistent.

The goal is not to automate every judgment. It is to make each translation benefit from what has already been learned.

PRODUCT CONTENT / ONE TECHNICAL MEANING

06 / THE SAME PRODUCT. MORE LANGUAGES.

Multilingual content.
One product identity.

A product description must remain technically consistent, regardless of the language in which customers or professionals read it.

IT

Mobile base con cassetti

Source product description

EN

Base cabinet with drawers

English product description

DE

Unterschrank mit Schubladen

German product description

FR

Meuble bas à tiroirs

French product description

Illustrative example for page design; not a live translation response.

07 / CONNECTED PUBLISHING

One language asset.
Every publishing world.

TraduTron works with multilingual product data managed in Pricelist Server. That content supports both established professional publishing and dynamic digital experiences.

THE STRUCTURED SOURCE

PRICELIST SERVER

Products · content · approved translations · languages

TRADUTRON AI

Translation memory + contextual proposals

↓

↓

PROFESSIONAL PUBLISHING

Adobe InDesign
+ EasyCatalog

Multilingual technical catalogues, price lists and print-ready documents using established editorial workflows.

PRINT

CATALOGUES

PDF

DYNAMIC DIGITAL PUBLISHING

WordPress
+ Pricelist WP / EL

Structured product information becomes multilingual web content. Published documentation can also feed Pricelist AI after indexing.

GUTENBERG

ELEMENTOR

PRODUCT AI

Not two separate translation projects. A shared linguistic foundation for print and digital.

08 / CONTROLLED INTELLIGENCE

AI proposes.
Your language stays yours.

The value is not merely the number of languages. It is the ability to distinguish known translations, contextual proposals and decisions that deserve human review.

Technical accuracy and brand vocabulary matter more than a plausible sentence.

01

Known translation

Use the established company wording as a reference.

PRESERVE

02

New content

Generate proposals informed by product context.

PROPOSE

03

Ambiguous meaning

Bring alternatives to an informed decision.

REVIEW

TRADUTRON AI

Your words.
Across every market.

Protect your translation heritage. Expand your product language. Keep the meaning that makes your company recognizable.

ONE PRODUCT. ONE VOICE. MANY LANGUAGES.

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