Vessel to Port ETA
The reliable way to predict vessel arrivals.
The ability to reliably predict ETAs and the route a vessel uses is a critical component of building efficient maritime logistic chains. Spire Maritime’s Vessel to Port ETA is powered by the most extensive historical AIS database and delivered through our easy to use GraphQL API.
- Reduce waiting times in ports and optimize costs and use of resources
- Optimize vessel loading and unloading processes in ports
- Improve cooperation between partners in the logistics chain
- Monitor ships, fleets, charters and competitors’ operations
More precise ETAs
Vessel to Port ETA is all about the improved accuracy of Machine Learning powered calculated ETAs in comparison to manually input ETAs
Predicted route waypoints
Get the predicted route to the next destination in your favorite format – GeoJSON or WKT.
Ideal for visual analysis
Next port prediction
Vessel to Port ETA provides the most probable next port destination based on historical data and the vessel’s current voyage
Granular voyage data included
Flexible and granular data like distance to port, voyage duration, port center point, locode or port name are included in the API response
Vessel to Port ETA in action
Interact with our demo below and see all the features of Port ETA and how they dynamically adjust to a vessel’s voyage updates: