New markets and locales

Every new market multiplies the content budget. A catalogue refresh means re-translating everything. A correction to one product specification is made once in the PIM and then hunted down by hand across six market storefronts, or more likely it is corrected once and stays wrong everywhere else.

The CMO is asked by the board whether the business is AI-ready. The honest answer is that agency copy takes weeks and machine-generated copy sounds like nobody. Legal will not approve publishing AI content without a compliance trail, and the board wants a business case with a cost baseline they can measure against.

Launch a market and you are still waiting for translations when competitors are already trading there. Every market has invented its own category names, so nothing rolls up in reporting. A Swedish shopper clicks a Danish search result, lands on a page in the wrong currency, and leaves before the redirect even loads

One product truth with per-market extensions that compose rather than merge, so a Finnish claim does not leak into Denmark. When a spec changes upstream, the Delivery API triggers regeneration of every derived copy item that depends on it, rather than leaving six translations out of date.

Market, locale and currency are determined before the page is built, not after a redirect. A Swedish shopper clicking a Danish link lands in their own currency from the first render. Category counts come from the same index query as the product listing beneath them, so a total never drifts out of sync.

Speedtrain Content Amplify generates titles, SEO metadata, translations and campaign variants from your product truth and brand rules in hours rather than weeks. Nothing publishes without human approval, and every generated line is traceable back to the source fact it came from.

Core holds one model with per-market extensions. When the source fact changes, derived copy regenerates automatically. Govern provides the approval gate and the provenance trail, so legal can see exactly where a line originated and whether it satisfies the AI Act disclosure requirement. Context Graph resolves category counts and product listings from a single index query.

This covers everything a new market needs before it can trade: locale content, per-market claims and wording, category labels in the local language, and which products may appear there. It regenerates copy when the underlying fact changes, so a spec correction does not remain wrong in six translations.

It determines market, locale and currency before the first render. It provides human approval and a compliance trail for every piece of generated content, AI Act labelling included.

It does not translate your entire back-catalogue in one pass. Content generation works on the range you point it at, with brand rules and market-specific claims you supply, and it produces copy in hours once the facts are prepared.

It does not decide which products are eligible for a market: you set the per-market and per-channel eligibility rule, and the system enforces it. It does not build a taxonomy: you supply one tree with per-market labels, and it keeps category counts and labels consistent. It does not merge product data from multiple sources into one model: it composes them, and you control which market extension overrides which base field.