Which option fits which decision

• Usually built to approve openings, not to evaluate closing or converting a store you already run.
• The contract is typically with the franchisor; a franchisee rarely gets the model, the data, or the ability to rerun it.
• One location at a time, so the combined effect of several moves in one market is assembled by hand.

Geod is the franchisee’s own model: your network as the baseline, closures and conversions simulated store by store, and predictions registered with a due date and scored against your own actuals where the units match.

• Hard to repeat across markets, teams, and time.
• Sources, assumptions, and data vintages get lost.
• Static rings and screenshots rarely survive committee questions.

Geod models the closure, conversion or opening against your existing stores, then produces a repeatable brief with travel-time trade areas, cited sources, and decomposed scoring.

• Turnaround can be slow when the pipeline changes.
• Every new site can become another custom request.
• Methodology may not become part of the operating rhythm.

Geod is built for recurring site review and network scenario simulation. Teams can run new candidates, closures, conversions, and alternatives without starting a new project each time.

• The map is only one part of the workflow.
• Drive-time routing, POI cleanup, scoring, and PDF exports still need glue code.
• Business users often wait on analysts for each iteration.

Geod packages the closure, conversion and opening workflow into a product: define the move, generate the brief, explain the score, and share the result.

• The buyer may pay for more platform than the site committee needs.
• Seat, report, or data packaging can make experimentation feel expensive.
• Black-box scoring can be hard to defend if the model is not visible.

Geod focuses on the decision packet: transparent trade areas, demand and competition context, portfolio-scale network scenarios for closures, conversions, and openings, per-store impact, decomposed scores, and committee-ready exports, with every analysis pinned to its data snapshot.

• The first demo can be fast, but production data quality is the hard part.
• Routing, demographic aggregation, POI categorization, and audit trails need maintenance.
• The internal team owns every data vendor change and edge case.

Geod is for teams that want structured site selection and network scenario software without staffing and maintaining the full geospatial data product internally.