Reliable ETA prediction APIs
Optimize the supply chain using Spire Maritime ETA APIs to more reliably 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 ETA prediction APIs are powered by the most extensive historical AIS database and machine learning models.
- 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
Spire ETA APIs are all about the improved accuracy of Machine Learning powered calculated ETAs in comparison to manually input ETAs
Predicted route waypoints
Get granular predicted route points to the next destination in your favorite format.
Ideal for visual analysis
Next port information
Spire’s APIs provide the next port destination based on AIS messages and port matching. You can also input your own origin port.
Granular voyage data included
Flexibe and granular data like distance to port, voyage duration, port center point, locode or port name are availabnle