A European consumer products group needed a better way to manage translation across websites, marketplaces, product content and everyday communication between teams. We built one application that combines translation, brand knowledge, local review and workflow management. Each brand has its own knowledge base, and every approved correction helps the tool improve the next draft.
Translation moved through an external translation partner, spreadsheets, email and different local reviewers.
That added cost, turnaround time and another communication layer. Decisions were scattered, previous corrections were hard to reuse, and internal teams spent too much time coordinating the workflow.
Translation, brand knowledge, review and approval happen in one application.
Reviewers receive a direct link, need no account, see the content in context and can correct or approve it in the same place. Every accepted correction becomes part of the tool’s memory.
The client was handling a continuous flow of product, website and marketplace content across European markets.
Each translation also had to reflect the right brand tone, approved terminology, current marketplace requirements and local market judgment.
Local reviewers were spread across countries and could come from sales, content, ecommerce or another team depending on the request. Questions moved between market teams, digital content teams, brand teams and an external translation partner.
The workflow became expensive to run and difficult to follow. Too much team time went into coordinating localisation instead of improving the content.
Structured product files, website copy, campaign content or everyday business text can enter the same workflow. For marketplace content, titles, bullets, descriptions and search terms keep the required structure from input to export.
Each brand has its own knowledge base containing approved terminology, language guidelines, policy documents and previously accepted translations. When the user switches brands, the tool automatically adopts that brand’s terminology, tone and rules before creating the draft.
Each market reviewer receives a direct link. No account is required. They can edit, comment and approve in one place, whether the reviewer is from sales, content, ecommerce or another local team. Every accepted correction feeds the tool’s memory, helping the next draft start closer to what that market already prefers.
Final content can move back into the required marketplace file or be exported for websites, documents and other communication. The draft, corrections and final decision remain connected to the request.
The tool does more than translate. It keeps the language work and everything around it connected, so localisation becomes easier to manage as more brands, markets and content move through the system.
Approved terminology is stored by brand and language and versioned as terminology changes.
Every translation a market accepts becomes useful context when the same or similar content appears again.
Brand guidelines, policy documents and reference material are retrieved into each translation so the draft starts from how that brand already communicates.
Requests, reviewers, comments, approvals and exports stay together, giving teams a clear view of what is drafted, waiting and approved.
Local teams often had to approve image copy as rows in a spreadsheet, even though the final words would appear inside PDP, A+ or other visual content.
In the platform, each market can review the translated copy in the actual image version. They can see how the wording fits the layout, make corrections against the real asset and approve what the customer will eventually see.
Layout changes can stay connected across language versions while the words remain specific to each market.
The layout can travel. The market keeps its words.
We ran 48 client product pages across seven languages using the same model with the glossary switched off and on.
The results showed that grounding improves the output, but also where local market judgment still matters. That is why human approval stays in the workflow, accepted corrections feed the memory, and evaluation continues as models, glossaries and requirements change.
In this implementation, much of the translated content was public product information, so commercial model providers could be used within the agreed setup.
For private material such as contracts, internal communication or sensitive business information, the same workflow can run with local or organisation controlled models instead.
The glossary, memory, review process and evaluation approach remain the same. The model execution layer can change depending on the organisation’s privacy requirements.
The same system can support recurring multilingual work wherever brand context, local review and organisational memory matter.
"The tool translates. Markets decide. Every approved correction makes the next draft better."AIHLPR · Localisation workflow team