A used farm equipment business needed to know where demand would last. Markets were assessed on farm income, road access and climate risk, so the network could follow demand beyond where dealers already sit.
A working signal set across five categories. This is a designed model rather than a completed deployment, and the figures below describe its shape.
Used equipment buyers cluster in agriculturally productive micro-markets, and those pockets are much smaller than a district.
Delivery, inspection and repossession all depend on physical access, which is invisible in any demand measure.
A market with strong output and a history of drought carries repayment risk that a snapshot of productivity will not show.
A micro-market has to clear three separate tests. Strong agricultural output makes it a candidate. Road and warehouse access makes it operable. Climate history decides the terms on which a sale should be financed.
Each signal answers a specific question about whether a sale can happen and can be serviced.
Cultivated area, crop type and seasonal productivity, with cropland expansion or contraction over five years.
Registered farmer collectives within a short radius.
Road classification and physical width per hexagon.
Hazard propensity per hexagon and long-run drought frequency.
The combination of demand, access and volatility sets both the effort and the finance terms.
The same hexagon layer, resolved differently by function.
Which regions carry both mechanisation demand and the infrastructure to serve it, which decides where the marketplace invests in supply.
Climate volatility per hexagon, so tenor and deposit requirements can vary with the market rather than sitting at a single national default.
Equipment dealer and repair centre density mapped against demand, which surfaces the areas holding buyers and no service infrastructure.
A designed signal set, published so it can be argued with before anything is built on it.
The question applies directly to used equipment. Farm income decides whether a machine gets bought and whether the finance behind it performs, so cropland change and drought history belong in the market model rather than in a post-mortem.
Send anonymised transaction locations. We will score those markets and show you whether the signal set explains where your business already comes from.
Set up a workshopMore Transformation Examples