Dataflow
Dataïads' native feed management engine: multi-source ingestion, normalization, business rules, multi-country and multi-language variations. From a few hundred to several million products, per feed.
Explore the moduleMulti-brand, multi-country, multi-language: every catalog, feed and market adds complexity and inconsistencies. The method: Dataflow, our data feed management engine, ingests and normalizes from a few hundred to millions of products — a single source that powers all your activations.
Managing N catalogs across M markets means multiplying feed formats, languages, currencies and business rules. Without a central engine, each team patches together its own exports, the data diverges, and every activation (Shopping, Meta, GEO) starts from different data. Consistency becomes unmanageable as volume grows.
Each source, country or brand has its own format, attributes and rules. Reconciling them by hand doesn't hold beyond a few thousand SKUs.
Currencies, languages, tax rules, local availability: cleanly declining a catalog per market multiplies the risk of error and inconsistency.
A price changed here, a stock level there: without a single source, the ad, the landing and the GEO page end up saying different things from the real catalog.
Managing multiple catalogs isn't about stacking exports. It's about centralizing on a feed engine built for scale, then wiring all activations to that same source — for guaranteed consistency, whatever the number of catalogs, countries or products.
Dataïads' native feed management engine: multi-source ingestion, normalization, business rules, multi-country and multi-language variations. From a few hundred to several million products, per feed.
Explore the moduleFeed Enrich, Smart Creative, Smart Landing Page, Smart GEO Page: each module plugs into the single normalized source. One set of data, consistent activations across all your channels and markets.
A single feed engine drives N catalogs, M countries and L languages — and powers all activations with the same up-to-date data. Built for large volumes and complex organizations.
Dataflow industrializes the data; the platform operates it for multi-brand, multi-country and multi-team organizations, without breaking anything as volume grows.
A feed pipeline that doesn't buckle: ingestion, transformation, rules and variations on massive catalogs, continuously.
A platform built for large clients: multiple catalogs, multiple markets, multiple teams — without loss of consistency.
All activations read the same normalized data: what the customer sees is always aligned with the real catalog.
Adding a country or a language is a variation of the source — not a new project to rebuild.
Going from hundreds to millions of products doesn't change the architecture: the engine is sized for scale.
Centralized, clean data means performance on activations and zero inconsistency across channels.
We map your feeds, countries and languages, identify the sources of inconsistency, and show you how Dataflow centralizes everything on a single source that powers your activations. Built for large catalogs.
Talk to an expertEnterprise · Multi-country & multi-language · From hundreds to millions of SKUs
A feed engine built for scale, activations wired to a single source: guaranteed consistency across all your catalogs, countries and languages — from a few hundred to several million products.
Enterprise · Multi-market · A single source of truth