Short answer: forecasting malt and hop prices tells you when and how much to contract, turning reactive buying into deliberate procurement timing. It is a finance-and-procurement tool, distinct from scenario planning, and it works best when you accept that the residual risk needs hedging.
What moves malt and hop prices
Grain and hop prices are not random; they respond to identifiable forces. Harvest yields set the supply baseline. Weather — drought, frost, a poor growing season — shifts that baseline, sometimes sharply. Contract cycles and broader demand add their own pressure. A forecasting model learns from this history and from current signals to estimate where prices are likely to head over a buying horizon.
The point is not to predict a single number to the penny. It is to give procurement a defensible view of the likely path and its uncertainty, so decisions about timing and quantity rest on evidence rather than gut feel or last year’s invoice.
From forecast to buying decision
A price forecast only matters if it changes a decision, and here the decision is concrete: when to contract, and how much. If the model and its drivers point to rising malt prices ahead of a tight harvest, contracting earlier or larger may protect margin. If prices look soft, you might hold and buy nearer the time. The forecast informs procurement timing and contract sizing — that is its job.
This is worth separating from scenario planning. Scenario planning asks “what happens to the business if input costs jump 20 per cent?” — a strategic stress test. Forecasting asks “where are prices likely to go, so when and how much should we buy now?” — a procurement decision. Both belong in an FP&A toolkit, but conflating them muddies the action.
As ever, measure first. Track your actual purchase prices and timing against what a naive “buy as needed” approach would have cost. That baseline is how you prove the forecast added value, and it keeps you honest about whether the model beats simply buying steadily. For a wider view of where analytics fits in a brewery, see what AI can do for a brewery.
A generative-AI copilot for procurement
Raw forecasts are hard to act on under time pressure. A generative-AI copilot can summarise the picture: which drivers are pushing prices — say a poor hop harvest plus firm demand — what the forecast implies, and a clear buying recommendation with its reasoning. It compresses a dense analysis into something a procurement lead can act on or challenge in minutes.
The copilot recommends; the buyer decides. It might over-weight a noisy signal, so the human who knows the supplier relationships and cash position owns the final call. The value is clarity and speed, not delegation of judgement.
Where it breaks
The honest limit is that commodities are noisy. Weather shocks, geopolitics and sudden demand swings can blow through any forecast, and agricultural prices in particular are prone to surprises no model saw coming. Treating a forecast as certainty is how breweries get caught out.
So the forecast is a starting point, not a guarantee. You manage the residual risk it cannot remove with the tools built for exactly that: hedging and supply contracts that lock in prices or volumes. The forecast tells you when those tools are worth using; it does not replace them. Used together — a forecast to guide timing, contracts to cap the downside — you get a procurement strategy that holds up when the harvest disappoints.
The bottom line
Forecasting malt and hop prices sharpens procurement timing and contract sizing, which is a different and more actionable job than scenario planning. Baseline against naive buying, add a copilot to translate forecasts into recommendations, and pair every forecast with hedging or contracts to manage the noise that no model can predict away.
Part of the Financial Planning & Analytics track.
Frequently asked questions
How does forecasting malt and hop prices help procurement? It informs when and how much to contract. By anticipating where grain and hop prices may move with harvest, weather and contract cycles, a brewery can time purchases and size commitments rather than buying reactively.
Is price forecasting the same as scenario planning? No. Forecasting estimates the likely path of a price to guide procurement timing and quantity. Scenario planning explores ‘what if’ outcomes for the wider business. They are complementary but distinct.
Can a forecast remove commodity price risk? No. Commodity prices are inherently noisy, so a forecast narrows uncertainty but never eliminates it. Hedging and supply contracts manage the residual risk the forecast leaves behind.