The ideal data structure for Zalando
Centralise, normalise, automate: the feed structure and master-file attributes that get a catalog approved without a back-and-forth.
Read the article →A good product isn't enough on Zalando: you need an impeccable data structure. The main reason most merchants fail their first upload isn't the product. It's the data structure. That's what I handle: centralizing, normalizing and automating the feed before it becomes a problem.
The technical traps that cost merchants weeks are almost always the same ones:
Zalando's native portal, useful for monitoring performance independently on smaller catalogs.
Channable, Lengow, Tradebyte, ConnectWise: the right choice for catalogs with thousands of SKUs, with dynamic field mapping, exclusion rules (e.g. below minimum stock) and real-time automatic price and availability updates.
For companies with a structured IT department that want maximum control over the integration.
Centralize, normalize, automate. First I bring your inventory data (often scattered across your ERP, Shopify and spreadsheets) into a single structured source; then I map it to Zalando's required standards; finally I build the automatic update rules (price, stock, promotions) so the catalog stays correct without ongoing manual work.
The concrete goal is cutting catalog blocking time from weeks or months down to a few days.