The shelf a brand can't see from its own systems, measured every day

What was missing

Brands that sell through retailers decide on what they shipped, because that is what their own systems show. What actually sells on the shelf, and how much demand they lose while a product is out of stock, they can't see.

What was built

Availability, rank and price at major Nordic e-commerce retailers, collected every day and turned into measured sell-through and a range for the demand lost to stockouts. A BigQuery warehouse with a dbt test layer that fails bad data before it reaches a client. What the numbers mean for the brand is the brand's call.

What changed

• 01Lost sales reported as a range, never a single guessed number
• 02Facts a brand can act on: which chain, which product, which week
• 03Tests that stop bad data before a client sees it