It is the quietest line in the annual budget, and one of the riskiest: the price assumed for your most important raw material. To the CPO, that number is a negotiating position that shapes supplier negotiations and sourcing strategy. To the CFO, it is a promise that margins, working capital and the full-year forecast all rest on. Sales has already quoted customers around it.
Then the market moves. A supplier quote lands well above the assumption, and the clock starts. Renegotiate or buy ahead? Revise the forecast or hold the line? Every week spent debating is a week of exposure to raw material price volatility. Once the quote is on the table, the decision window is already narrowing, and the choices left tend to be reactive ones.
Neither leader made a bad call. They were looking at different pictures of the same market, and that gap is where commodity price risk quietly builds. It rarely shows up until the quote arrives, and then it appears as budget variance nobody planned for.
It is also more common than most businesses would like to admit. In the 2025 FP&A Trends Survey, 42% of respondents named departmental fragmentation as the top barrier to planning, and only 11% reported fully integrated strategic, financial and operational planning.
Next year’s budget is being shaped right now. Before the next quote lands, three questions are worth settling:
What happens to our margins and procurement planning if commodity prices rise?
What could we gain if they fall, and what would early commitments cost us?
Which market triggers tell us to act, and who owns the response?
Teams that cope best with a volatile market usually agreed their response in advance, while the quote was still a hypothetical.
Answering these questions takes more than a sharper forecast. It takes scenario planning, shared assumptions between procurement and finance, and commodity market intelligence that updates faster than a spreadsheet can. That is where AI-powered commodity price forecasting is changing how teams approach commodity risk management: processing supply-demand, trade, logistics and geopolitical market signals faster than manual research, refreshing outlooks as conditions shift and helping teams compare scenarios. Forecasts remain assumption-based, but both teams end up reacting to the same evidence.
STATXO’s CommodityXO is built around that idea, bringing price outlooks, market signals and sourcing scenarios into one place to help connect procurement and finance and support decision intelligence.
The harder question is what to do with that clarity. How do you agree on triggers before the market forces the issue, and keep a CPO and a CFO with different priorities working from one plan?
Our full article, Procurement Wants Lower Prices, Finance Wants Predictability, The Market Offers Neither, walks through three budget scenarios, four practices for procurement and finance collaboration, and a practical way to make commodity price risk management a shared decision instead of a quarterly argument.