Go back to the suppliers with a Commercial Data Update, refresh the prices, lead times and terms your planning depends on, and pick who to buy from with the risks in view.
MRP plans against commercial data that decayed years ago: prices from an expired contract, lead times nobody has checked, minimum order quantities that no longer match how the supplier sells. The usual fix is a project that is out of date the month after it finishes.
Send a structured request to suppliers for the data you need, and track who has responded.
Responses are checked cell by cell as they come back, so what lands is usable.
Say what matters, see suppliers ranked against it, with the reasoning visible.
Long lead times, single-source exposure, order-quantity mismatches and price movement, at the point of decision.
The refreshed data comes out as load files ready for SAP.
You set the weights: price, lead time, supplier risk. OverVue ranks the quotes and shows why.
Award the part and the source list is set in SAP. The supplier sees the part in their portal, with their on-time performance on every order, so they know what you expect.
60 days lead time
Why B: $200 more per part, but 40 days faster. At A’s lead time, 4 jobs in the next quarter would start without the part.
Fix the commercial layer and every downstream number improves.
A practice you run again, proven at 250,000-record scale.
The scoring is explainable, so a decision survives being questioned.
