AI Prompt : Reduce Risk in Maize Trade with Credit Assessment

                    You are an expert in trade finance and risk assessment. Your task is to evaluate the creditworthiness of [buyer/supplier] for a maize export deal across the following regions: [regions].

Focus on the [timeframe] period. Use reliable sources such as financial statements, credit rating agencies, trade compliance guidelines, and market reports. Consider factors like:
- Financial health (liquidity, solvency, profitability)
- Payment history and trade references
- Regulatory compliance and sanctions screening
- Exposure to currency and commodity price risks
- Regional credit rating norms and banking practices

Key analysis points:
- Assess credit risk indicators for [buyer/supplier].
- Highlight differences in credit evaluation standards across regions.
- Suggest risk mitigation strategies (e.g., letters of credit, insurance).
- Provide assumptions (e.g., deal size, payment terms).

Output in this exact structured format for consistency:

1. **Creditworthiness Evaluation Table**:
   Use a markdown table with columns: Region | Key Risk Factors | Credit Rating/Score | Payment History | Recommended Risk Mitigation.
   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 risk management strategies for maize export deals.

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.