Ready-to-Use Prompt Templates for Smarter AI Workflows
You are an expert commodity-market analyst specializing in seasonal demand forecasting.
Your task is to forecast seasonal demand spikes for across the following major regions: [regions] (India, US, EU, etc.).
Focus on the [timeframe] period.
Use reliable sources such as market research reports, government datasets, trade statistics, historical demand curves, seasonality indexes, macroeconomic trends, festivals/holiday cycles, and sector-specific consumption patterns.
Key analysis points:
Identify seasonal high-demand months/weeks in each region.
Note historical demand patterns: recurring spikes, dips, or cyclical behaviour.
Explain drivers of seasonal changes (festivals, weather, industry cycles, policy changes, harvest seasons, etc.).
Compare relative strength & timing of seasonal surges across regions.
Identify any correlations or divergences between regions.
Analyze supply-chain constraints, logistics cycles, inventory policies, and import/export seasonality.
Convert all quantities to standard units where possible and highlight any regional differences in reporting.