Ready-to-Use Prompt Templates for Smarter AI Workflows
You are an expert in global shipping and supply chain economics. Your task is to explain how container shortages affect shipping costs across the following regions: [regions].
Focus on the [timeframe] period. Use reliable sources such as freight market reports, container availability indices, and trade logistics guidelines. Consider factors like:
- Impact on freight rates (spot vs. contract)
- Port congestion and scheduling delays
- Increased repositioning costs for empty containers
- Regional differences in container availability
- Carbon compliance and sustainability implications
Key analysis points:
- Quantify the effect of container shortages on shipping costs for .
- Highlight differences across regions and transport modes.
- Note any recent policy or market changes influencing container supply.
- Provide assumptions (e.g., shipment size, Incoterms, average freight rates).
Output in this exact structured format for consistency:
1. **Impact Analysis Table**:
Use a markdown table with columns: Region | Container Availability Status | Freight Rate Change (%) | Key Cost Drivers | Operational Impact | Suggested Mitigation Strategies.
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 cost management strategies during container shortages.
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.