An online shop

Six languages in five days.

A translation pipeline on the shop’s own data: a glossary the client approved, a translation memory, and a nightly job for every new product. Numbers from the shop, September 2026.

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The starting point

German only,about 8,600 products.

An online shop with about 8,600 products, all in German, and about forty new ones a day. An earlier machine translation had left titles untranslated and terms inconsistent.

The knowledge

A glossary the client approved,a memory that remembers.

About forty terms of the trade, signed off by the client in the hub before anything went live, and a translation memory that translates each sentence once.

Part of the shop’s glossary: Terms of the trade — Materials, Dimensions and units, Colours, Care, Shipping. Kept current by agents.
The pipeline

The translator

Task
Translate every product, page and menu into six languages with the approved glossary.
Reads
GlossaryTranslation memoryThe German source
Result
Written back into the shop per language, published once the samples passed.
Every night

The nightly job

Task
Find every new or changed product and translate it before the shop opens.
Reads
GlossaryTranslation memory
Result
Six languages stay complete, with a short report each morning.
Where the yes sits

Glossary and samples first.Then the languages.

  • Glossary and ten English samples approved by the client in the hub.
  • Five review cards, including a 40-product sample, before English went live.
  • The other languages followed the approved glossary with spot-checks.
The outcome

Real, rounded,dated.

Six
languages, published 14.–18. Sept.Sept. 2026
About 8,600
products in every languageSept. 2026
Every night
new and changed products translated, about forty a daySept. 2026

Client name on request once they agree.

/ Next step

Your shop in every language.

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