Case study · Multi-marketplace

A unified data layer across European marketplaces

Connectors for Allegro, Amazon, Kaufland, Castorama, and others — sales, ads, and unit economics in one place.

Client
Seller operating across EU marketplaces
Scope
Data layer: connectors, warehouse, dashboards
Platforms
Allegro, Amazon, Kaufland, Castorama, and more

The problem

Selling on five European platforms meant five back-offices, five report formats, five currencies of truth. Comparing performance across platforms — or just answering “what did we actually earn on this SKU?” — took days of manual exports.

What we built

  • Connectors for Allegro, Amazon, Kaufland, Castorama, and other platforms — orders, ads, fees, and stock.
  • A unified warehouse where every platform’s data lands in one consistent model.
  • Unit economics per SKU per platform: fees, ads, logistics, returns — all factored in.
  • Ads orchestration: campaign performance across platforms in one view.
  • Operational dashboards for daily work and management reporting.

How it works day to day

One place answers the cross-platform questions: which platform actually makes money on which SKU, where ads pay off and where they burn budget, and what needs restocking where.

Outcome

Cross-platform decisions — pricing, ads budgets, assortment — are made on one consistent set of numbers instead of five exports.

The data layer scales: adding the next marketplace is a connector, not a new back-office.

Next case Forecasting delivery and procurement from China to Amazon and other marketplaces.

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