Actionable, real time data
The solution collects schedules for container ships and makes estimations based on both historical and real time data, as well as machine learning. A vessel that had been delayed on its trip to Singapore can determine whether it could still reach its final destination of Hamburg on schedule if necessary adjustments are made.
From reactive to proactive
Knowing that more than a third of all container vessels are more than a day delayed, we operate with both
- Estimated time of arrival
- Calculated risk of delay
Receive notifications when your expected vessels are delayed and adjust your operations accordingly to avoid further delays.
