Services in Detail
Product Data Localization (PIM)
Thousands of items, dozens of attributes, multiple markets: Product data localization is a volume problem – and that's exactly what our pipeline is built for. Structured input, localized output.
What you get
- Analysis and localization concept for your data inventory
- Attribute terminology per language, bindingly documented
- Structured localization via export/import or API
- SEO fields and channel feeds consistently translated along
- Review process by product class priority
- Automated workflow for new products and changes
Product data is your most-read text
No one reads as much of you as your product data: in shops, on marketplaces, in feeds, catalogs, and search results. And nowhere does inconsistency punish faster – the same attribute translated three different ways confuses customers and filter logic alike.
We localize product data as a data project: structured from your PIM or shop export, with terminology per attribute, consistent across all channels. Once set up cleanly, new products automatically run through in multiple languages.
How it works
- 01
Data Analysis
We review the structure, attributes, and quality of your product data – and define what and how deeply is localized.
- 02
Attribute Terminology
Values, units, and spellings are defined per language – the foundation of all texts.
- 03
Localization in the data flow
Structured translation via export/import or API – with review by product class priority.
- 04
Automation
New products and changes run defined through the pipeline – localization becomes routine.
System Integration
Akeneo, Pimcore, channels like Amazon or Kaufland: We process your exports in a structured way and deliver them ready for import.
Attribute Logic
Measures, materials, standard terms are transferred rule-based and consistently – free texts editorial, values precisely.
Continuous Rather Than One-Time
New items and changes flow incrementally through the pipeline – your catalogs stay synchronized in all markets.
Attribute Logic: the invisible backbone
"Baumwolle", "100% Cotton", "coton bio": Attributes drive filters, comparability, and SEO – but only if they are systematically translated. We build the attribute terminology first: values, units, spellings per language, binding in the termbase.
Description texts are then created rule-based or editorial – per product class the economically sensible depth. Feeds for marketplaces and price comparisons inherit the same consistency: one data set, many channels, no contradictions.
Typical use cases
Shops with large assortments
From hundreds of products onward, manual translation is predictable chaos – structure beats effort.
Marketplace expansion
Amazon, Kaufland & Co. per country: channel-ready data from the same source as your shop.
PIM implementation
If a PIM is coming anyway: model multilingualism correctly from the start instead of retrofitting.
Those who manage a thousand products need rules – not a thousand individual decisions.
Frequently asked questions about this service
We don't have a PIM – does it still work?
Yes: shop exports (CSV, XLSX) or APIs suffice as a working basis. The attribute systematics pay off regardless of the tool – and make a later PIM implementation much easier.
How do you ensure quality with thousands of texts?
Through structure: binding attribute terminology, automatic consistency checks, and human review where it has impact – prioritized by revenue relevance of product classes instead of a blanket approach.
What happens with product updates?
Changes run through the same defined process: detect, translate, review, deploy. Optionally as a running contingent or in batches – predictable in cost and time.
