Data Freight
Live analytics updates automaticaly Data is imported from freight tables in AiDeliv
US Container Ports
What This Reveals:
Current wait times at LA/Long Beach, Houston, Newark, Seattle Port efficiency trends (improving or worsening) Alternative port opportunities with lower congestion Seasonal bottleneck patterns
Strategic Business
Applications:
Route Optimization:
Ship to Oakland instead of LA when congestion differs by 5+ days
Customer Communications:
Proactively inform buyers about realistic delivery windows
Cost Forecasting:
High congestion = higher detention/demurrage fees to budget
Shipment Timing:
Accelerate orders when ports are clear, delay when backed up
Money-Saving Insight:
Port congestion above 80% typically adds 7-14 days transit time and increases last-mile costs by 15-25%. Switching to alternate ports during peak congestion can save thousands per container.
Live Container Tracking at Sea
Tracking history
What This Reveals:
- Exact vessel location and speed
- Estimated arrival updates (more accurate than carrier estimates)
- Route deviations or delays in real-time
- Fleet positioning for capacity predictions
Strategic Business
Applications:
Cash Flow Management:
Know exactly when to prepare payment based on real arrival (not scheduled)
Customer Updates:
Provide accurate delivery dates using real vessel data
Warehouse Coordination:
Book labor and space based on actual (not theoretical) arrival
Problem Detection:
Spot delays immediately when vessels change course or stop
Money-Saving Insight:
While competitors rely on carrier updates (often wrong), you track actual vessel movement.
See delays 3-5 days before carriers announce them, allowing proactive customer management.
Asia-US Container Rate Index
and market pricing trends
What This Reveals:
- Current spot rates vs. contract rates
- Price momentum (rising/falling/stable)
- Historical patterns for seasonal predictions
- Market volatility indicators
Strategic Business
Applications:
Buying Decisions:
Lock in shipments when index shows rates bottoming
Budget Planning:
Predict logistics costs 30-60 days forward based on trends
Contract Negotiations:
Use index data to prove market rates to suppliers
Shipping Frequency:
Ship more when rates drop, consolidate when rates spike
Money-Saving Insight:
When index drops 10%+ monthly = overcapacity, perfect for negotiating annual contracts When index rises 10%+ monthly = capacity shortage, lock in rates before further increases.
Stable index ±5% = normal market, focus on service quality over price
Import Volume Analytics by Category
What This Reveals:
- Complete visibility into US import flows by product category
- Monthly and quarterly volume trends across all major categories
- Relative market share movements between product segments
- Historical patterns spanning multiple years of trade data
Analytics Value for Your Business:
Monitor real import data to understand market dynamics in your category. See whether volumes are expanding or contracting, identify seasonal patterns that repeat yearly, and observe how different product categories perform relative to each other.
This government customs data provides the same market intelligence that major corporations use for strategic planning.