Managing product data across languages is more than translating descriptions. Some information is identical everywhere; other information differs by language or market. A good PIM needs to separate universal master data from localizable content, and show clearly which language version of a product is actually complete.
PIMSuite builds those differences directly into the data model.
Localization is not the same as translation
Translation carries text from one language into another. Localization goes further: it adapts product information to a market - which can involve language, units, number formats, currencies, legal notices, market-specific claims, or which products are even available. A translation feature alone only solves part of that.
Which product data is language-dependent?
Usually universal:
- SKU
- EAN/GTIN
- weight
- dimensions
- voltage
- manufacturer ID
Usually localizable:
- product title
- description
- marketing claims
- attribute labels
- usage instructions
- SEO text
The distinction itself matters more than the exact list: some data isn't language-dependent, it's market-dependent - UK measurements differ from EU ones, a plug type differs, a warning label only applies in one country. Language and market are two different dimensions that are easy to conflate.
Language, locale, and market
Three terms that often get mixed up:
Language - de, fr, en
Locale - de-DE, de-AT, en-GB, en-US (language plus region)
Market - Germany, Austria, UK, US (a business territory with its own requirements)
The same language doesn't automatically mean the same product data: en-GB writes "colour," prices in £, and measures in metric; en-US writes "color," prices in $, and measures in inches.
PIMSuite's localization operates at the language level - a separate value per language for each localizable attribute. A finer distinction within the same language by region or market (en-GB vs. en-US as separate locale values) isn't a distinct concept today; where a business needs that systematically, it's a natural extension.
Localizable attributes
Not every attribute needs to be translated. Product dimensions are universal; product descriptions aren't. In PIMSuite, you mark each attribute as localizable or not. Localizable attributes store a separate value per language; universal attributes have one value across all languages.
This applies not just to field values but to the attributes themselves. An internal attribute like water_resistance needs a label per language (EN: "Water resistance," DE: "Wasserbeständigkeit," FR: "Résistance à l'eau"), independent of the value actually stored. And for a select field, the value itself needs a translated display too: the internally stored value waterproof stays the same, while its display becomes "waterproof," "wasserdicht," or "imperméable" depending on the language. That separation between the canonical stored value and its localized label is a core principle of product-data modeling.
The practical effect: translators see exactly what needs translating, and universal data stays consistent without duplication.
Units and number formats
A common localization mistake is putting the unit directly into the translated string - "12 inches" as text instead of a number. A better canonical model is a numeric value plus a separate unit, for example value = 30.48, unit = cm. Only from that can you reliably output 30.5 cm or 12 in depending on the market. The same principle applies to number formats (€1,299.95 vs. $1,299.95) and date formats (29/08/2026 vs. 08/29/2026): the PIM should hold the structured, canonical value; how it's formatted for a given market or channel is a question of output, not data storage.
Translation workflow
Source content
↓
machine translation / AI
↓
human review where needed
↓
approved localized value
Not every field carries the same risk under automated translation. A rough breakdown:
- low risk: basic descriptive copy, internal labels
- medium risk: marketing descriptions, feature bullets
- high risk: legal claims, safety text, technical compliance data, ingredients, regulated terminology
The higher the risk, the more a human review belongs before publishing.
AI and DeepL translation
PIMSuite translates all localizable content - product names, descriptions, and any locale-specific custom attribute - into any target language, through two backends:
- DeepL - usually the better choice for structured content where literal accuracy is critical
- any configured AI model - usually the better choice for marketing copy where tone matters more than exact equivalence
You configure which backend to use per task type. Translation runs in the background and processes your entire catalog in bulk - trigger it for one product or thousands.
Terminology and glossaries
For many businesses, consistency in terminology matters more than any individual phrasing: "hoodie" should always translate to a specific term, not an inconsistent alternative; brand names should never be translated at all. PIMSuite lets you configure custom instructions per translation task, which covers simple terminology guidance. A dedicated glossary with enforced term pairs, do-not-translate lists, and brand-specific rules isn't a distinct feature today - for businesses with strict terminology requirements, that's a natural extension worth building.
Completeness is not the same as market readiness
Every product gets a completeness score, calculated per language. You always know which products are content-complete in German, French, or Spanish - and which ones still need work. Filter your entire catalog by language completeness to find gaps before they become publishing problems.
But completeness isn't the same as market readiness. French content can be technically 100% complete while a French safety notice is missing, the marketplace category isn't mapped for the French channel, or a field required specifically for that channel is empty. Language completeness means the translatable fields are filled in. Market readiness means every requirement for the target market or channel is satisfied. One is a necessary condition for the other, not a sufficient one.
When the source language changes
A problem many systems quietly ignore: the German description gets translated, the French version is finished. Then the German source changes. What happens to the French translation?
A naive system keeps showing French as "complete" - even though the translation is now based on an outdated version of the source text. PIMSuite logs every field change with the user, timestamp, and old and new values, so you can trace after the fact when a language version was last updated. An automatic flag that actively marks a translation as stale the moment its source changes isn't a distinct feature today - that's the point where plain language fields start to differ from real translation tooling, and it's a natural extension for catalogs with a high rate of change.
Locale switcher on the product form
Switch between languages directly on the product edit form. The localizable fields update to show the selected language's content; universal fields stay the same. Edit each language side by side without switching views or opening multiple tabs.
Language-specific channel export
Canonical product
├─ title.de
├─ title.fr
├─ description.de
├─ description.fr
└─ weight = 500 g
Shop DE
→ German title
→ German description
→ 500 g
Marketplace FR
→ French title
→ French description
→ marketplace-specific formatting
Each channel can export in its own language. A German marketplace channel exports German content; a French one exports French content. The mapping is automatic - no manual export-per-language workflows.
Unlimited languages
Add as many languages as your business needs - there's no per-language pricing or artificial limit. German, French, Spanish, Dutch, Polish - add them all and start building language-specific content.
PIM vs. translation management system
A PIM manages product data: products, attributes, variants, channels - translation is one feature of that, not the core. A dedicated translation management system (TMS) specializes in professional translation workflows: translator teams, translation memory, terminology databases, multi-stage approval processes.
For most product catalogs, PIMSuite's built-in translation is enough. For businesses running extensive, professional translation operations - large translator teams, strict terminology requirements, multi-stage approvals - connecting a dedicated TMS is often the better solution. PIMSuite doesn't replace a TMS; it covers the translation needs most product catalogs actually have.
How PIMSuite implements this
PIMSuite separates universal from localizable attributes at the field level, tracks completeness per language, translates through DeepL or a configured AI model in the background and in bulk, offers a language switcher directly on the edit form, and automatically exports the right language version per channel - with unlimited languages at no additional cost.