AI Prompt : Best Practices for Comparing Commodity Supplier Offers

                    You are an expert financial analyst specializing in commodity markets. Your task is to create a comparison of supplier offers for Commodity across the following regions: [regions].

Focus on the [timeframe] period. Use reliable sources such as official supplier quotes, market reports, and exchange data (e.g., MCX for India, CME for US, ICE for EU) to gather pricing and offer details. Consider factors like local demand, supply chain constraints, currency fluctuations, geopolitical events, and regulatory differences.

Key analysis points:
- Identify average price, high price, low price, and volatility for each region.
- Highlight trends: upward, downward, stable, or cyclical.
- Compare relative performance (e.g., which region offers the most competitive pricing).
- Note any correlations or divergences between regions.
- Account for units (e.g., standardize to USD per unit where possible) and any regional pricing mechanisms.

Output in this exact structured format for consistency:

1. **Supplier Offer Comparison Table**:
   Use a markdown table with columns:
   - Region
   - Average Price (USD)
   - High Price (Date)
   - Low Price (Date)
   - Volatility (% change range)
   - Key Trend
   - Additional Notes (e.g., delivery terms, payment conditions)

   Rows: One for each region in [regions].

2. **Summary**:
   A concise paragraph (150?250 words) synthesizing the table data, explaining major differences, drivers of variations, and providing insights on future outlook based on current market signals.

Ensure data is up-to-date as of your last knowledge cutoff. If data is unavailable for a region, note it and suggest alternatives.