How franchisees use Geod
Closures, brand conversions, openings and look-backs on past moves. Each one changes demand at stores you already run, so Geod models it against your portfolio and saves one brief that everyone at the table reads.
Development and real-estate leads build the brief and bring the move to committee. The CFO and investment committee review the arithmetic, the assumptions and what was left out. Lenders and franchisor reviewers read the same saved brief, with its sources and dates intact.
Closure
An underperforming store is up for closure. How much of its business stays with us?
What Geod computes
- Resident demand the store releases within its drive-time trade area
- Recapture by each nearby store you operate, by name and ranked by exposure
- Demand captured by mapped competitors in range
What the brief shows
- Per-store table of baseline, after and change
- The prediction on record with its assumptions and a due date
- Sources, vintages and omissions on the page
Limits
- Customers who leave the category are not yet modeled, so recapture is an upper bound
- Resident demand, not sales, until your sales data is connected
Brand conversion
The neighborhood has shifted. Would this store earn more under another banner we run?
What Geod computes
- What the outgoing brand releases, and how much its sister stores win back
- What the incoming brand captures at the site
- What the conversion takes from your existing stores of the incoming brand
- Competition reweighted for the incoming brand, using assumed category weights
What the brief shows
- Both sides of the swap in one table, store by store
- Net change to your network, with the arithmetic shown
- Combo units modeled as one site with two brands
Limits
- Geod declines to model converting a store to a brand it already operates
- Category substitutability weights are defaults until fitted to your outcomes
Opening and infill
A landlord offers a corner lot. Is it a good site for us, and which of our stores would it hurt?
What Geod computes
- Demand captured at the candidate, split into transfer from your named stores and demand new to the network
- Drive-time catchments for the departure time your customers arrive
- Coverage gaps in a market you select, with evidence gaps flagged
- Candidate sites scored against your own criteria
What the brief shows
- Net new versus transferred demand, with the denominator stated
- Decomposed site score and nearby anchor categories
- Named competitors with addresses and distances
Limits
- Lease terms, visibility, access and layout are field work, marked not evaluated
- Anchors are proximity only; no co-tenancy agreements or shared visits are inferred
Look-back
We closed and converted stores last year. Would the model have called them correctly?
What Geod computes
- Historical moves modeled against the network as it stood before each one
- Predictions compared with what actually happened, where your data allows
What the brief shows
- Briefs for past moves, plus one live decision
- A comparison of predicted and actual results
Limits
- Delivered as an assisted 90-day validation run using your sales history
- Results depend on the quality and coverage of the history you provide
Have a decision under review?
A closure, a conversion or an opening under review. If you want the model checked against your own history first, the validation run does that in 90 days.