Real Estate Deal
Competitor Cannibalization & Sales Forecasting
Forecast sales using analog store data and market-based models. Prevent cannibalization (which can reduce existing store sales by 22%+) with predictive modeling.
What it does
- Forecasts Annual Sales using Analog Store methodology
- Models Cannibalization impact on existing stores
- Applies Market Share analysis to trade area
- Uses Regression Models with demographic variables
- Predicts Ramp-Up timeline (Year 1, 2, 3 performance)
- Calculates Break-Even point and Payback Period
- Identifies Best and Worst performing analog stores
- Generates Sensitivity Analysis for different scenarios
What it takes
- Site Demographics
- Analog Store Data
- Market Research
- Trade Area Analysis
- Competitor Sales Data
- Financial Proforma
What it returns
- Excel Model
- PDF Report
- PowerPoint Deck
- Financial Proforma
Written into the systems your team already runs, not into a second system of record.
How teams run it
Analog Store Forecast
Predict sales based on similar existing stores.
Cannibalization Analysis
Model impact on nearby existing store locations.
Market Share Model
Calculate expected market capture rate in trade area.
Scenario Planning
Best case, base case, worst case sales scenarios.
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.