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Operational client system · ALLCPR
ALLCPR Site Intelligence case study.
ALLCPR needed a consistent way to compare expansion markets without reducing a real location decision to one unexplained score. Leon built the internal system the team uses to screen and review those markets.
The decision this solved
Compare expansion markets without hiding uncertainty.
Opening a training location depends on more than population. ALLCPR needed one reviewable place to compare local demand signals, its own operating history, nearby businesses and facilities, and the practical reasons to investigate or reject an area.
What Leon built
Delivered scope.
Reviewed nationwide dataset
The reviewed project dataset contained 33,772 U.S. ZIP-code records, with selected public business and facility data, local map context, and ALLCPR's own history brought into one workflow.
Reasons, ranges, and maps
Each area exposes the reasons for and against it, uncertainty ranges, map context, and an Excel export the team can review outside the product.
A reliability correction
Leon found and removed a misleading validation loop. The current system keeps uncertainty visible instead of presenting false confidence as a fact.
Evidence on this page
What supports the case.
- The screenshot on this page shows the system's nationwide map interface.
- ALLCPR approved the exact client statement published below for this project.
- The system is operational for the client; it is an internal tool, so there is no public login offered as proof.
Approved client feedback
The client's exact, approved words.
ALLCPR Site Intelligence
“Leon built a system that helped us evaluate and plan new locations as ALLCPR expanded. It became a useful part of how we approached opening branches and supported our growth to more than 300 locations. He understood the business problem and built something practical that we could actually use.”
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