Historical Quote Benchmarking & AI Review Framework
Purpose
Capture the concept of building a historical quote database from hundreds of reviewed construction calculations to support:
- Post family normalization
- Historical benchmarking
- Anomaly detection
- AI-assisted quote review
- Future RoofCalc development
Core Concept
- Export historical quotes.
- AI creates provisional post families.
- Human reviews and corrects families.
- System builds benchmark statistics.
- New quotes are compared against historical norms.
- AI flags anomalies for estimator review.
Examples
- Forgotten /Q factors
- Decimal separator errors
- Unusual labor values
- Unusual material quantities
- Purchasing quantity anomalies
- Resource outliers
Principle
AI does not create the quote.
AI acts as a second reviewer.
Future Possibilities
- RoofCalc integration
- CPRO quote imports
- Historical benchmark database
- AI anomaly engine
- Quote sanity checker
That's enough.