AI Summary
What this page explains
A live compatibility database framework that grows from anonymised quote requests and captures device, industry, material, finish, country, quantity band and project type.
- Best for: building proprietary industry intelligence from real work.
- Common applications: compatibility growth, installation support, benchmarks, CRM feedback and RFQ automation.
- Recommended action: capture evidence and data at every quote, sample and production stage.
Data Flywheel
Compatibility enrichment preview
This prototype shows how each RFQ can add a publishable, anonymised compatibility signal.
| Schema file | /data/live-compatibility-schema.json |
|---|---|
| Publishable insights | material preference by industry, finish selection by environment, typical quantity band by application, lead time by material stack, compatibility confidence by device family |
| Enrichment sources | quoteBuilder, manualRFQ, CRMOutcome, sampleApproval, productionJob, fieldFeedback |
Internal Link Engine
Connected intelligence paths
Every Phase 4 asset feeds the same flywheel: quote data, display data, installation evidence, standards context, CRM outcome and publishable insight.
