Bunker planning and analytics software provider BunkerMetric on Wednesday (16 February) expanded its product portfolio with BargeTracker.
The new solution employs machine learning and evidence-based analysis to track bunker barges using AIS and a range of other relevant data sources to derive a full trajectory of any bunker barge movements and their interactions with other vessels or port’s shore facilities, states BunkerMetric.
The project has reached a critical maturity, generating valuable data for customers getting insights in a bunkering market, such as expected delivery waiting times, or gathering facts for use in Claims and Disputes.
Customers can potentially be any actor in the bunkering or shipping industry who is looking for solid data on Bunkering activities -bunker suppliers / traders / brokers, or ports or even bunker buyers.
“We have been working on and off on this idea for years but have focused on BunkerPlanner, our fuel procurement optimisation product,” said BunkerMetric CEO Christian Plum.
“Now BunkerPlanner has lifted off commercially and at the same time we have strong interest in the BargeTracker from bunkering and shipping industry, so we can dedicate the needed resources to fully mature BargeTracker. We will track +95 % of Barge-Vessel Bunkerings live globally.”
Every hour millions of AIS data positions are generated and digesting this huge data set and identifying the small fraction of these which describe bunkerings is a considerable task, notes BunkerMetric’s Data Scientist James Richardson.
“Not only are we looking for a few needles in a hay-stack, but the needles we are looking for are of many diverse forms and can easily be mistaken for similar looking activities,” he explains.
“Having access to vast data sources is just the start, combining it with the experience and insights of industry experts allows us to create bespoke models interpreting bunker barge behaviour in detail, aiming to derive any required information in real time”.
For more information, please email contact@bunkermetric.com or visit www.bunkermetric.com
Photo credit: BunkerMetric
Published: 16 February, 2022
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