Make or buy recommendations -
Break-even curves -
Supplier spread -

Decision log-
Screened 100,000+ spare parts to identify cost, lead time, and CO₂ savings
Costing accuracy achieved compared to in-house costs.
Time saved by reducing manual work
Optimized production with precise costing and sustainability insights.
Saved in
costs
Months in
lead-time reduced
Learn how engineering and sourcing teams use 3D Spark's make or buy feature to support data-driven decisions.

Get insights directly from our customers on how 3D Spark's platform benefited their businesses
Customer- Metshape
The Problem -
High time and effort required by sales team to analyze 3D CADs and 2D drawings from daily Requests for Quotations (RFQs) regarding technical feasibility and precise, instant costing.
Customer- DB
The Problem-
There were challenges in feasibility testing and (pre-)calculation processes, including the need for higher accuracy, improved stability, ease, and speed. They also experienced issues with reliance on fragile Excel sheets, which hindered their ability to provide timely and reliable offers.
Customer- Alstom
The Problem-
Alstom faced challenges including high parts purchase prices, time-consuming RFQ processes, limited adoption rate of AM, and the need for cost, lead time and CO2e savings, accounting.