AI Summary
What this page explains
CRM intelligence schema connecting quote source, industry, application, material, estimated value, outcome and publishable learning back into the screen protector knowledge platform.
- 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.
Sales Intelligence
CRM capture schema
Every enquiry can improve both commercial performance and the public knowledge base.
| Fields | source, landingPage, industry, application, deviceManufacturer, deviceModel, material, finish, estimatedValue, quantity, country, leadStage, outcome, wonLostReason, prototypeApproved, productionIssues, publishableLearning |
|---|---|
| Feedback loops | Won jobs enrich compatibility confidence, Lost jobs reveal price, MOQ or lead-time friction, Production issues update drawings and installation guidance, Common questions become FAQ and standards-library entries, Publishable aggregate data feeds benchmark reports |
| Data file | /data/crm-feedback-schema.json |
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.