Information on destination and ETA derived from standard AIS can often be incomplete and unreliable, resulting in backlogs, penalties, wasted time, and missed commercial opportunities.
Predictive Fleet Analytics combines machine learning with trusted foundational data to bring clarity to manual and problematic data. These analytics will help you better predict a vessel's next move with estimated times on arrival, berthing, departure, port congestions and turnaround times all in one place.
Cut costs and penalties with predicted vessel journeys and forewarning of potential delays
Maximise day-to-day operations with a central point of truth and insight
Serve customers better by planning ahead with the visibility of future port calls
Reduce time and stress manually gathering data yourselves with accurate predicted vessel data
With Unparalleled Vessel Data And Insights Including:
Advise vessels to speed up or slow down with insight on port congestion and avoid delays.
Create port and vessel benchmarking data more easily.
Secure contracts to offer services to vessels days in advance of them arriving in port.
Plan vessel surveys 5 days ahead with confidence.
Accurately tracking vessels, predicting ship movements and understanding port congestion are all crucial tasks across a number of jobs in your sector. Find out how much vessel data and insight you have in our latest infographic.
When trying to build an accurate picture of where ships are and what progress they are making, AIS data is frequently not enough. Find out how Predictive Fleet Analytics can help you plan and understand activities at port?
Establishing what exactly a ship is doing, and when, can be a time-consuming and frustrating business, read this whitepaper to see how Predictive Fleet Analytics can help.
The ability to track vessel movements, plan according to port activity, and generally have a clear and accurate picture of the supply chain is integral to many key job roles read our whitepaper on the importance of good data and analytics when managing port activities to find out more.
For the vast majority of the maritime supply chain, communications are inefficient, unreliable and outdated. Read our whitepaper on the importance of streamlined communications when managing shipping and port activities.
Predictive Fleet Analytics enables you to see vessel arrivals, port congestion and delays with a market-first platform and API end point. Save time understanding route and port traffic levels and vessel predicted arrival times using more accurate and detailed data than ever before.
Data gaps represent one of the maritime supply chain’s most severe business challenges. Often, businesses are forced to make business-critical supply chain decisions based on data that is either speculative or incomplete, resulting in penalties, damaged customer relationship and missed opportunities.
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