Case study

AquaSonic Car Wash

Automotive & car wash

Which Locations Will Perform Before We Invest?

Sales forecasting and high-performing site prioritization before capital deployment.

1

Problem

What Was at Stake?

Capital-intensive expansion with limited margin for error on site selection.

2

MapZot.AI work

How the Decision Was Modeled

Forecast Site-Level Revenue
Analyze Traffic and Competitor Density
Prioritize Top-Performing Corridors
3

Outcome

What Became Clearer?

Higher Confidence Before Investment
Reduced Risk on New Builds
Faster Capital Deployment Decisions

Cost of being wrong

$4M–$5M Per Site

Wrong Site Selection Leads to Long Payback Periods and Weak Membership Adoption

The goal was not more data. The goal was a cleaner decision before capital, lease commitments, buildout time, and leadership attention were locked in.