Supplier Matching & Ranking Engine
Hard requirements decide eligibility. Weighted trade-offs decide the order — and the page shows how much each weight actually moves it.
24 synthetic supplier profiles · browser-local · nothing sent to a server
The Problem
A visible weight can still mislead.
A weight of 25 does not mean 25% of the outcome — influence also depends on how much the data actually varies. An opaque score hides that, and hides infeasible choices along with it.
Approach
Separate eligibility from preference, then expose how the ranking is formed.
Excluded suppliers keep every failed requirement, so screening and ranking stay separately auditable.
Method Note
Show the intended priority and the observed influence together.
Good and poor anchors adapt to the scale of each valid dataset.
A supplier at the initial lead-time or quality threshold does not receive near-zero utility.
A descriptive diagnostic shows the current ranking leverage—not a causal effect.
Try It
Change hard requirements without moving the scoring scale. Compare presets, edit anchors, read every exclusion reason, export the ranking.
Not In Scope
Synthetic profiles. No contract terms, volume tiers, or negotiation. Observed influence is a descriptive diagnostic, not a causal effect.