Real Estate Deal
Retail Site Selection Scoring Model
Score potential sites with AI-powered predictive models.
What it does
- Scores Sites on 100-point scale with weighted criteria
- Analyzes Demographics (income, age, education, household size)
- Evaluates Traffic Patterns (cars per day, peak hours)
- Assesses Visibility, Access, and Parking adequacy
- Scores Competitor Proximity and market saturation
- Predicts Sales Performance using analog store modeling
- Compares Multiple Sites side-by-side
- Generates Executive Summary for Real Estate Committee
What it takes
- Site Address
- Demographics Report
- Traffic Study
- Aerial Photo
- Zoning Map
- Comparable Sites Data
What it returns
- PDF Report
- Excel Scorecard
- PowerPoint Deck
- Interactive Dashboard
Written into the systems your team already runs, not into a second system of record.
How teams run it
Quick Site Score
Rapid 100-point scoring for initial screening.
Detailed Site Analysis
Comprehensive evaluation with sales prediction.
Comparative Analysis
Side-by-side comparison of multiple candidate sites.
REC Package Generation
Full Real Estate Committee approval package with maps.
Cited, or flagged
Every value is anchored to the clause it came from. Where one is missing, Surfaice says so rather than inventing it.
Read where it lives
Documents are processed for the request and not retained afterwards. Nothing is copied into a second system of record.
Never trained on
Your documents do not train models — yours or anyone else's.
More in Real Estate Deal
See it run on your own documents.
Fifteen minutes, your files, and the clause behind every answer.