Commodity intelligence is the continuous read on a commodity’s price, supply, and risk drivers — structured so a procurement team can act on it, not just review it. The line is between analyst-grade intelligence (slides, monthly reports, narrative commentary) and decision-grade intelligence (forecasts with quantified uncertainty, exposure mapped to your specific BOM, alerts tied to your forward commitments).
Decision-grade commodity intelligence answers three questions at any moment: where is the price likely to go over 1–24 months, what is the probability distribution around that path, and what does each scenario mean for your P&L given your exposure. Without all three, the buyer is still doing the synthesis in their head.
INAYA’s Market Foresight produces probability-weighted bull, base, and bear scenarios over a 1–24 month horizon on every commodity a procurement team buys, with the macro forces explaining every move. Those forecasts feed directly into Product Composer for SKU-level exposure modelling and into Decision Governance for fixing simulation — the same data, three views, one decision chain.
Related concepts: procurement intelligence (the decision layer above), ensemble forecasting (how the forecast is built), directional accuracy (how its quality is measured).