Write a commodity and market price outlook for stakeholders
A short market brief on the commodities or categories I buy, with drivers, scenarios, and buying actions, based only on sources I provide.
The prompt
Help me write a market outlook brief for the commodities or categories I buy.
Commodities or categories: [e.g. "steel, corrugated packaging, ocean freight Asia to US"]
Our exposure: [ANNUAL SPEND OR VOLUME, CONTRACT TYPES - fixed, index-linked, spot]
Source material: [PASTE INDEX DATA, ANALYST NOTES, SUPPLIER COMMENTARY, NEWS - with dates]
Audience: [FINANCE, LEADERSHIP, PRODUCT TEAMS]
Period covered: [e.g. "next 2 quarters"]
Budget assumptions currently in use: [PRICE OR % CHANGE ASSUMED]
For each commodity:
- Where prices are now vs. 3, 6, and 12 months ago, using only my data.
- The main supply and demand drivers mentioned in my sources (capacity, energy, trade policy, currency, seasonal patterns).
- Low, base, and high scenarios for the period, labeled clearly as scenarios drawn from my sources, not forecasts.
- The budget impact of each scenario on our spend.
- Buying actions for each scenario: lock in fixed prices, extend contracts, buy ahead, shift to index pricing, qualify alternatives, or wait.
Rules: cite which source supports each claim; never invent prices, index values, or analyst views. If my sources conflict, show both. Mark gaps [ADD SOURCE].
Return:
1. A one-paragraph headline summary.
2. A table: Commodity | Current trend | Key drivers | Scenarios | Budget impact | Recommended action.
3. Signals to watch that would change the outlook.
4. A version under 150 words for an executive update.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Research & Summaries prompts
What to fill in
- e.g. "steel, corrugated packaging, ocean freight Asia to US"
- FINANCE, LEADERSHIP, PRODUCT TEAMS
- e.g. "next 2 quarters"
- PRICE OR % CHANGE ASSUMED
- ADD SOURCE
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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