Real Estate Deal
AI-Powered Trade Area & Mobility Analysis
Replace traditional mileage rings with isochrone maps based on actual travel times.
What it does
- Generates Isochrone Maps (5, 10, 15-minute drive times)
- Analyzes Foot Traffic patterns from mobile device data
- Identifies POI (Points of Interest) density and types
- Maps Competitor locations and market share
- Calculates Trade Area Demographics (income, age, education)
- Identifies Whitespace opportunities in underserved areas
- Analyzes Co-Tenancy synergies with nearby retailers
- Exports GIS data to ArcGIS or Google Earth
What it takes
- Site Address
- Demographics Report
- Traffic Count Data
- Competitor Analysis
- Market Study
- GIS Shapefile
What it returns
- PDF Report
- GIS Shapefile
- Excel Data
- Interactive Map (HTML)
Written into the systems your team already runs, not into a second system of record.
How teams run it
Isochrone Mapping
Generate drive-time and walk-time trade areas with traffic patterns.
Foot Traffic Analysis
Analyze mobility data to understand customer movement patterns.
Whitespace Identification
Find underserved markets with high demand potential.
Competitor Mapping
Map all competitors within trade area with market share estimates.
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.