Case study

Georgia Power House

Civic & Economic Development

How Do You Pick a Location for Families Who Don't Get to Pick Their Circumstances?

Retail, demographic, and site-comparison intelligence helped a nonprofit family house evaluate locations on what actually matters to the families it serves.

1

Problem

What Was at Stake?

Georgia Power House provides free, extended-stay lodging for families with a loved one in long-term medical care nearby. Every location decision carries weight that a typical retail or commercial site pick doesn't: families arriving under stress need to be close to daily essentials, groceries, pharmacies, transit, without adding another burden to an already difficult stretch of their lives.

The organization was weighing multiple candidate properties for a new or expanded house, but had no consistent way to compare them. Site visits and word-of-mouth gave a feel for a neighborhood, not a clear picture of who lived nearby, what services were already within reach, and where gaps would leave guest families driving further than they should have to.

2

MapZot.AI work

How the Decision Was Modeled

Every property scored on the same criteria, so trustees could see trade-offs at a glance instead of relying on gut feel from separate site visits.
Leakage and inflow patterns showed where nearby demand for groceries, pharmacy, and everyday goods was already being met — and where it wasn't.
Mobilytics and demographic layers described who actually moves through each neighborhood day to day, not just who lives there on paper.
Void.AI flagged categories of everyday services missing from each trade area, pointing to which sites would leave guest families underserved.
3

Outcome

What Became Clearer?

The comparison turned a set of gut impressions into a single, defensible recommendation.
One Site Ranked Clearly Ahead on Guest Accessibility
Retail and Service Gaps Identified Before Signing
A Data-Backed Case the Board Could Stand Behind

Cost of being wrong

When Location Becomes a Burden

A wrong site means guests travel farther for essentials, occupancy drops, and the location is harder to defend to donors and the board

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