Master your plans and perfect the operations
Our predictions APIs utilize multiple methods per each segment of the port call to reach high level of accuracy. We often also fine tune models for specific conditions for some port approaches and specific weather and traffic patterns. We provide global coverage for all ships detected with satellite or terrestrial means and update our prediction every 10 minutes. You have the option of requesting basic prediction or of many of our APIs you can choose to ask for extended data set. For example prediction to berth and estimated voyage route to the port.
Create accurate plans and use predictions to warn you if plans have been disrupted. Operate with accuracy by having resources at the right place at the right time. Adjust on-the-fly with the help of predictions. Achieve savings by utilising industry’s best machine learning powered predictions.
Read a case study on how all Finnish ports are utilizing Awake.AI’s Port call time stamp and ETA service.
Our approach to predictions is to utilise best ML models for each step of the port call or operational process and this has been fine tuned over millions of predictions. We utilise our database of multiple years of global AIS shipping messages as one source powering the predictions.
Global coverage for pilot boarding area (PBA) and berth ETA predictions. We also fine tune models for ports when needed by special circumstances or requests by customer.
Full Swagger style API documentations available and kept up-to-date with each release. Our support will also assist you with the integration and we provide accurate uptime status and planned maintenance information at our status site.
Easy to estimate and budget monthly pricing
Our predictions APIs are available with a fixed monthly fee tailored to the amount of usage you require. This allows accurate budgeting and avoids large surprises from jumps in costs. You have the option to stop usage of the API if monthly quota is reached before the end of month or allow defined amount of additional usage.
Global tier features include
ETA predictions to any predefined ports
Vessel's current destination prediction
Vessel's remaining travel time prediction based on the vessel's historical speed profile
Vessel's last observed navigational state (e.g. under way, stopped, at anchor)
Query by vessel ID (IMO or MMSI number)
Optimized tier features include additionally
ETA predictions to any predefined ports with custom machine learning - models applied to optimize prediction accuracy
Optional: ETA predictions to custom user-defined
waypoints such as pilot boarding places. anchorage areas. or selected terminals in the port area
Optional: actual times of arrival (ATA} to custom zones (geofences)
Query by vessel ID or destination locode