AI-powered ETA Prediction: Accurate Container ETAs
Shipsgo's AI-powered ETA predictions deliver 96% accurate arrival time, this means more accurate and dependable ETA's than carriers. Start on-time delivery planning by relying on the most accurate container ETA predictions.
Why are our ETA predictions better than carriers?
We use advanced machine learning algorithms and analyze both historical data and real-time updates. This allows us to adapt to changing conditions and provide ETA predictions that are 96% accurate while this rate is 55% for carriers.
Accuracy
Container Ports
Container Vessels
Carriers
Benefits of Using the Predictive Estimated Time of Arrival
Our ETA calculation are based on a huge container tracking dataset and leverages historical data on carrier performance as well as real-time updates.
Lower demurrage cost
Expected costs can be better estimated with an accurate ETA, it helps you reduce container dwell times, as well as reduce detention and demurrage costs by 70%.
Highest Accuracy on ETA
Our ETA calculations are 51% more accurate than traditional carrier-provided ETAs, allowing you to plan for better on-time delivery.
Less Operational Effort
An accurate ETA helps you reduce time spent on shipping operations by 80%, reduce uncertainty and have a better supply chain that runs seamlessly with less effort.
See the future of your shipments
With all voyage details displayed on an intuitive dashboard, you can easily track your shipments in real-time and optimize your operational planning. Say goodbye to traditional static estimates with Shipsgo AI-powered predictive ETAs.
Learn moreMake Better Decisions with ETA Reports
Seamlesly reach the predicted ETA for all your shipments within a comprehensive report. Shipsgo ETA Reports provide you with essentials, including carrier ETA, our advanced predictive ETA, and detailed information on delays or early arrivals, helping you optimize your operations with greater efficiency.
Talk to our team
How it works?
Using historical data and real-time updates, we offer dynamic insights that adapt to changing conditions. Developed by experienced data analysts/engineers and maritime industry experts, our solution combines advanced technology with deep sector knowledge to ensure reliability. Our system constantly monitors new data and adjusts ETA predictions in real-time.
ETA Meaning: Predictive vs.Traditional
Estimated or Expected Time of Arrival known as ETA, express the time or date a shipment will arrive its final destination. When traditional carrier ETAs usualy depends on static routes and historical voyage data, predictive ETAs use advanced AI, machine learning historical and real-time data analytics to deliver dynamic, more accurate arrival forecasts that account for current maritime conditions, vessel performance, and potential disruptions.
ETA Prediction FAQs
Explore our FAQ list about ETA prediction to find detailed answers to the most commonly raised queries.
For supply chain planning, cost management to reduce demurrage and detention charges, minimize overtime costs, risk management, respond to route changes. (like Red Sea diversions)
Traditional carrier ETAs typically rely on static schedules and don't account for real-time factors.
You can find the predictive ETA in the "My Shipments" section on your dashboard. Click the eye icon next to your shipment to view the ETA prediction.
Absolutely not, just track your shipment on Shipsgo to see our ETA prediction.
While our ETA predictions are highly reliable, unexpected changes can occur. We recommend monitoring your shipment through our tracking system for real-time updates and contacting the carrier in case of significant delays.
You can get an ETA prediction by entering your Container/MBL/Booking number on our platform. The system will automatically calculate and display the estimated arrival time based on current data.
Our ETA prediction system currently covers ocean tracking. We are working on predictive ETA for air cargo, so stay tuned for updates!
In container transportation, ETA specifically means the expected date and time when the container-carrying vessel is to reach the port of destination (POD).
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