AI Prompt : Best Practices for Managing Credit Risk in Commodity Exports

                    You are an expert in trade finance and risk management. Your task is to summarize best practices for managing credit risk in Commodity exports across the following regions: [regions].

Focus on the [timeframe] period. Use reliable sources such as trade finance guidelines, credit risk frameworks, and global compliance standards. Consider factors like:
- Financial risk (buyer liquidity, credit rating)
- Market risk (price volatility, FX exposure)
- Operational risk (logistics delays, supply chain disruptions)
- Regulatory risk (customs compliance, carbon regulations)
- Political risk (sanctions, policy instability)

Key analysis points:
- Identify key best practices for mitigating credit risk in commodity exports.
- Highlight region-specific strategies (e.g., LC in India, credit insurance in EU).
- Include financial instruments (letters of credit, guarantees, PRI).
- Suggest technology-driven solutions (real-time credit monitoring, automated alerts).
- Provide assumptions (e.g., deal size, payment terms).

Output in this exact structured format for consistency:

1. **Credit Risk Management Best Practices Table**:
   Use a markdown table with columns: Region | Key Credit Risk Drivers | Recommended Best Practices | Implementation Complexity | Expected Impact.
   Rows: One for each region in [regions].

2. **Summary**:
   A concise paragraph (150?250 words) synthesizing the table, explaining major differences, and providing insights on global best practices for managing credit risk in Commodity exports.

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