Case study
BIGGBY Franchisee
Franchise & multi-unit
Where should we open the next 20 — and which stores should close or relocate?
Next-market planning plus close / relocate recommendations.
Problem
What was at stake?
Franchisee expanding aggressively while existing stores showed uneven performance.
MapZot.AI work
How the decision was modeled.
Outcome
What became clearer?
Cost of being wrong
$500K–$1.2M per location
Opening blindly would increase cannibalization and lock capital into weak markets.
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
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.
Healthcare
Heartland Dental
model accuracy
Can we scale denovo expansion with institutional accuracy?
Denovo model with gap analysis and cannibalization control.