Case study
Florida Coffee Chain
Restaurant & coffee
How do you grow from regional coffee chain to multi-city footprint without oversaturating?
Demographic and consumer behavior analytics helped match new stores to the brand's highest-fit customers.
Problem
What was at stake?
A Florida-based coffee chain needed to scale quickly while ensuring each new location aligned with its core customer base.
MapZot.AI work
How the decision was modeled.
Outcome
What became clearer?
Cost of being wrong
$500K–$1.5M per store
Rapid coffee expansion can create oversaturation, weak AUV, and expensive leases in markets where the brand does not resonate.
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
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.