Multilingual wine ecommerce: DE and FR and EN done right
Register, terminology consistency and market specific search behaviour are what separate real localization from machine translation.
A wine business selling across Germany, France, and the English speaking market is not really running one storefront in three languages. It is running three different buyer expectations that happen to share a product catalog.
The mistake most multilingual ecommerce makes is treating localization as translation: take the English copy, run it through a translator, publish the result. That produces text that is technically correct and reads like it. A German buyer can tell the difference between copy written for them and copy translated at them, and so can a French one.
Real localization for a wine catalog needs a few things translation alone does not give you, and it is one of the reasons Commerce treats language as part of the catalog rather than a layer on top of it.
Register that matches the market. Formal address, Sie in German and vous in French, is standard for a B2B wine buyer, and getting that wrong reads as either sloppy or presumptuous depending on the market.
Terminology consistency across the catalog, not just within a single page. A grape variety, a classification term, or a tasting descriptor needs to be translated the same way every time it appears, or a buyer scanning multiple listings notices the inconsistency and it undermines trust in the accuracy of everything else on the page.
Structural awareness of what each market actually searches for. A French buyer and a German buyer are not necessarily searching for the same thing in the same way, and a catalog that only optimizes its English SEO and machine translates the rest is leaving visibility on the table in two of its three markets.
The honest fix here looks similar to the AI content question: generate a strong first pass efficiently, but review it against a market specific standard, not just a grammar check, before it goes live. A catalog that gets this right does not just avoid embarrassing translation mistakes, it actually performs in each market's own search results, not just the English one.