Scoring Layer
Match Engine Framework
The public framework defines what is scored, how outputs are explained, and where human review enters the flow. It does not expose live production weights, hidden business rules, or the production decision boundary used inside MapleBridge.
Fit Dimensions
- Product category and subcategory fit
- MOQ and commercial range fit
- Compliance and certification fit
- Market and channel readiness fit
- Factory-direct and export-readiness trust fit
Output Shape
0.00 - 1.00
Each candidate returns a normalized score, explanation fields, confidence, rejection reasons, and review requirements so downstream apps can make safe decisions.
Public vs Private
Public: scoring axes, explainability shape, confidence buckets, and review hooks.
Private: live thresholds, ranking weights, suppression heuristics, spam filters, and source-specific trust adjustments.