Case study
Dental Giant
Healthcare
How do you keep site selection precise while scaling to thousands of offices?
AI-powered site selection helped identify high-potential dental markets and underserved trade areas.
Problem
What was at stake?
A leading dental services provider needed granular, street-level site selection beyond traditional demographic methods.
MapZot.AI work
How the decision was modeled.
Outcome
What became clearer?
Cost of being wrong
$8M–$9M per clinic
Weak site selection in saturated healthcare markets can dilute patient volume, slow ramp-up, and reduce ROI per office.
The goal was not more data. The goal was a cleaner decision before capital, lease commitments, buildout time, and leadership attention were locked in.
Explore more
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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
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before investment
Which locations will perform before we invest?
Sales forecasting and high-performing site prioritization before capital deployment.
Emerging restaurants
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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.