What-If Network Simulation: Modeling a Dealer Decision Before You Make It

Every dealer network decision is really two decisions: what happens at the new location, and what happens to every dealer around it. Most OEMs analyze the first and discover the second after the franchise agreement is signed. What-if simulation reverses that order.

What-if network simulation models the network-wide impact of a proposed change, such as adding, relocating, or closing a dealer, before the change is made. It estimates how demand redistributes across the network, separating genuinely new volume from volume merely shifted away from existing dealers, so OEMs can test a decision instead of guessing at its consequences.

What is what-if network simulation?

It is a model that lets you ask “what would happen if” and get a quantified answer. You propose a change to the network, and the simulation redistributes modeled demand across all dealers under the new configuration. The output shows the projected volume at the changed location and, just as important, the effect on every nearby dealer.

The reason this matters is that dealer territories are interconnected. You cannot change one point without changing its neighbors. A decision that looks healthy in isolation can quietly damage two existing dealers, and only a network-wide model reveals that before it happens.

What questions can simulation answer?

Simulation answers several of the most consequential and most expensive questions in network planning. Will a proposed open point generate net new sales, or pull volume from the dealer 30 miles away? If we close an underperforming dealer, how much of its volume does the network actually retain versus lose to competitors? If we relocate a dealer 15 miles, what happens to coverage and to the territories on either side? If we consolidate two points into one, do we save cost without surrendering demand?

Each of these is a multimillion-dollar question tied to a franchise commitment that can run for years, and each has a different answer depending on demand, competition, and drive-time behavior that no one can hold in their head.

How does the simulation account for cannibalization?

This is the core of its value. A naive analysis counts the projected sales at a new point as pure gain. A simulation assigns demand based on which dealer is most likely to capture each buyer, so when a new dealer opens, the model shows exactly how much of its volume came from genuine unmet demand and how much was pulled from existing dealers.

That distinction between net new and shifted volume is what separates a decision that grows the network from one that just rearranges it. It is also why network compression is so easy to cause accidentally and so important to model deliberately, especially for OEMs with large territories and small dealer bodies.

When should an OEM run a what-if simulation?

Before any decision that changes the shape of the network. That includes adding a point, approving a relocation, evaluating a termination, planning a consolidation, or responding to a dealer’s request to expand a territory. The cost of the simulation is trivial against the cost of a misplaced dealer or a strangled territory, which is why it belongs in the dealer network strategy process as a standard step rather than an occasional exercise.

Sextant runs these simulations inside the IDEAS platform, so dealer development teams can test scenarios on demand rather than commissioning a study for each question.

Frequently Asked Questions

What is the difference between what-if simulation and open point analysis?

Open point analysis identifies where the network should add dealers. What-if simulation tests a specific proposed change, including additions, relocations, closures, and consolidations, and projects its network-wide effect. Open point finds opportunities; simulation evaluates the consequences of acting on a particular one.

Can simulation model closing a dealer, not just adding one?

Yes. Simulation models any structural change. For a closure, it estimates how much of the closed dealer’s volume the surrounding network retains versus loses to competitors, which is often very different from assuming the volume simply transfers to the nearest remaining dealer.

How accurate are what-if simulations?

Accuracy depends on the quality of the underlying demand and competitive models and on realistic drive-time assignment. A well-built simulation will not predict an exact unit count, but it reliably distinguishes net new volume from cannibalized volume, which is the comparison the decision actually turns on.

Sources: Methodology piece; no external statistics cited. Concepts draw on standard spatial demand-modeling and gravity-model practice used in dealer network planning.