Most supply chain leaders I speak to are navigating the same tension.
Inventory that is too high or in the wrong place. Service commitments that depend on decisions made without enough visibility. A finance conversation that goes in circles because the planning team is defending a number instead of showing what it actually costs to be wrong.
The S&OP meeting is the clearest place to see this.
A planning team that walks in with a single point forecast is set up to defend it. Finance challenges the inventory. Supply chain defends the buffer. Nothing moves.
A planning team that walks in with three demand scenarios — with inventory position, cost to serve, and cash exposure mapped across each one, at SKU level — is set up for a different conversation entirely.
The CFO stops asking “why do you need more stock?” and starts asking “what’s our exposure if we’re wrong, and what are we going to do about it?”
That question — what’s our exposure if we’re wrong — is the question that leads somewhere useful. It puts finance and supply chain on the same side of the problem.
Probabilistic modelling makes that question answerable before the forecast misses. Not after.
The output is not a more accurate number. It is a set of choices, with the financial consequences of each one mapped in advance.
That is what changes the conversation. Not better data. Not better forecasting tools.
The framing. The meeting you walk into with range instead of a single number to defend.
If the inventory argument is still happening in your S&OP, it is worth asking whether the problem is the data — or the format it arrives in.