Using predictive algorithms to identify potential disruptions, Portchain said its software can help improve schedule reliability and reduce fuel costs.
"We are strongly committed to further improve schedule reliability for our customers," said Jorn Springer, senior director of Hapag-Lloyd's fleet support centre. "To do this we are always looking for better and pioneering tools.
"Portchain's cloud-based solution provides powerful insights into the robustness of schedules and allows us to quickly make changes in real time."
Portchain chief commercial officer Thor Thorup said the company machine learning algorithms helped carriers predict issues in their schedules 14 or more days in advance of arrival.
"The carrier can then test different options to solve the issue at hand, and communicate their preferred option. This gives the flexibility for the carrier to manage bunker fuel costs by reducing speed, or by increasing it to reach an earlier berth slot," he said.
According to MarineTraffic, containerships spend 4.6 per cent of their time at sea anchored, due to early arrival, wasting US$18 billion a year on "rush to wait" fuel inefficiency.