Aerospace procurement is usually treated as a sourcing problem. Our new industry insight argues it is a cost-transparency problem, and that the distinction explains why established procurement platforms leave a gap no amount of configuration will close.
Transactional systems are good at what they were built for: which supplier delivered, what was paid, what volume moved, which invoice arrived, which category the part belongs to. What none of them explains is what the part should cost given its material, geometry, manufacturing process, machine time, setup time, quantity and production region. That is the difference between spend analysis and manufacturing cost intelligence.
The aerospace-specific part of the argument is about quantity. The machines are largely the same ones used in mechanical engineering or automotive: turning, milling, laser cutting, bending, welding, coating, inspection. What differs is that order quantities often sit between 1 and 10, so setup time, engineering effort, documentation and inspection dominate the cost structure instead of material or cutting time. A part that is profitable at quantity 100 can be uneconomical at quantity 5.
That leads to the practical warning in the article. Annual volume is the wrong basis for cost analysis, because a supplier calculates from the production lot that actually runs through the machine, not from an optimistic annual forecast. Business cases built on the forecast tend to come apart on the first real batch. The insight closes with how a process-based should-cost model handles this, including STEP-file calculation in seconds and benchmarks across six production regions.
