Case study
McBee Coffee & Carwash
Hybrid retail
Can one site support coffee and car wash demand?
Portfolio planning across two revenue behaviors on the same real estate.
Problem
What was at stake?
Dual-concept business combining two distinct demand patterns.
MapZot.AI work
How the decision was modeled.
Outcome
What became clearer?
Cost of being wrong
$2M–$4M blended
Mismatch between demand types could reduce performance of both concepts.
The goal was not more data. The goal was a cleaner decision before capital, lease commitments, buildout time, and leadership attention were locked in.
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Where should we open the next 20 — and which stores should close or relocate?
Next-market planning plus close / relocate recommendations.
Automotive & car wash
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before investment
Which locations will perform before we invest?
Sales forecasting and high-performing site prioritization before capital deployment.
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right location
We may only open one store. Can we forecast it accurately?
Precision site modeling for one high-confidence opening over 12–18 months.