The FCL Logistics Journey
An interactive guide to Full Container Load (FCL) shipping. Click on a stage to learn more.
1. Exporter's Warehouse
2. Port of Origin
3. Sea Freight Transit
4. Port of Destination
5. Importer's Warehouse
Click a step above to see the details of that stage.
Exporter's Warehouse
The exporter loads their cargo into an empty container at their own facility (stuffing/vanning). After loading, the container is sealed, making it ready for transport.
Port of Origin
The sealed container is transported by truck or rail directly to the Container Yard (CY) at the port of origin. It undergoes export customs clearance here and awaits loading onto the vessel.
Sea Freight Transit
The container is loaded onto the designated vessel and transported across the sea to the port of destination. Transit time varies depending on the shipping route and weather conditions.
Port of Destination
Upon arrival at the destination port, the container is unloaded from the vessel and moved to the port's Container Yard. Import customs clearance is processed here.
Importer's Warehouse
Once customs clearance is complete, the container is delivered directly from the port to the importer's designated warehouse or factory. The importer unloads the cargo (destuffing/devanning), completing the journey.
The Future of FCL: Powered by AI
Artificial Intelligence is set to revolutionize FCL logistics, creating a more efficient, predictable, and intelligent supply chain.
Optimal Equipment Management
AI predicts container demand and supply to plan optimal positioning. This reduces container shortages and inefficient empty container repositioning.
Predictive ETA Accuracy
By analyzing weather, port congestion, and historical data, AI forecasts transit delays, providing more accurate Estimated Times of Arrival (ETAs).
Automated Documentation
Automates the creation and submission of shipping documents like the Bill of Lading (B/L) and customs declarations, reducing human error and accelerating clearance.
Smart Tracking & Visibility
Combining IoT sensors on containers with AI allows for real-time monitoring of not just location, but also conditions like temperature, humidity, and shock.
Dynamic Route Optimization
AI continuously analyzes real-time conditions (e.g., conflicts, weather, port strikes) to suggest the most efficient and safest shipping routes.
Intelligent Risk Management
Analyzes vast datasets to identify potential risks such as transit delays, cargo damage, or carrier unreliability, enabling proactive planning.