3D
The challenge
A small company selling heating panels needed a new warehouse — but had no idea how large it should be. They didn’t want to hire an architect before having a realistic estimate based on their actual sales volume.
How we solved it
Key issues
Collected multi-year sales data from their invoicing system
Analyzed seasonal sales to determine product-level demand per sales cycle
Created box-level 3D models of each product
Defined target stock levels per product and season together with the company owner
The solution - From data to space
Designed a shelving system that fits the full product range at the planned stock levels
Sketched a lightweight warehouse structure sized precisely to the required storage capacity
Result
Optimized footprint
Defined the minimum viable warehouse size, preventing costly over-building or early outgrowing.
Investment-ready brief
Delivered a technical specification that allowed for immediate, accurate architect briefing and budgeting.
Eliminated guesswork
Replaced assumptions with a data-backed storage plan, ensuring 100% of the product range fits at peak season.
Strategic byproduct
Converted raw sales data into a secondary asset for cash-flow and procurement planning.
