Case study
WOW Carwash
Automotive & car wash
How do we move from founder-led intuition to scale?
Founder-led portfolio translated into a data-backed expansion engine.
Problem
What was at stake?
Founder intuition worked early but not scalable for growth.
MapZot.AI work
How the decision was modeled.
Outcome
What became clearer?
Cost of being wrong
$4M–$5M per site
Scaling without data introduces inconsistent outcomes.
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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Related location decisions
Franchise & multi-unit
BIGGBY Franchisee
next locations
Where should we open the next 20 — and which stores should close or relocate?
Next-market planning plus close / relocate recommendations.
Automotive & car wash
AquaSonic Car Wash
before investment
Which locations will perform before we invest?
Sales forecasting and high-performing site prioritization before capital deployment.
Emerging restaurants
Ahi & Vegetable
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.