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Winward AI model improves maritime vessels’ ETA

The company’s deep-learning models are trained to understand the multitude of factors affecting the movement of goods through the sea


Container port in Singapore. Photo: DPA / Picture Alliance via REUTERS
Container port in Singapore. Photo: DPA / Picture Alliance via REUTERS

Winward, a leading Maritime AI™ company based in Tel Aviv, announced a new AI capability that will be integrated into its recently launched Ocean Freight Visibility (OFV) solution.


Using deep learning technology, the solution fuses data from a multitude of independent sources to deliver accurate and reliable ETA predictions and real-time visibility into container and vessel journeys, providing Windward customers with the ability to plan according to ongoing changes and disruptions to the supply chain.

While ocean freight reliability has slightly improved this year, it's still below 40% and the average delays continue to be at an all-time high, significantly impacting the entire supply chain and causing losses of up to $10B.


Moreover, worsening port congestion and events like Covid-19 lockdowns in Asia are having drastic impacts furthering delays across the globe. The supply chain ecosystem needs to be prepared to manage more than 816 million TEUs (twenty-foot equivalent units) of containers shipped yearly amidst this uncertainty.

Windward's advanced behavioral models fuse multiple data sources, including data from more than 120 carriers, over 1,400 ports and terminals, 5,500 container vessels, sailing schedules, meteorological data, location, and AIS data, enabling greater resiliency in the face of supply chain uncertainties for 99% of the world's maritime shipments.




The company’s models, developed by maritime and AI specialists, are specifically trained to understand the multitude of factors affecting the movement of goods through the sea, using Deep Learning (DL) models, guaranteeing that the prediction algorithms weigh each factor influencing container shipping appropriately.


The result, according to the company, is the most accurate estimation, throughout the entire voyage, of containers' expected arrival time at their port of discharge (POD).

"The solution provides our customers and partners with the most accurate prediction of containers' expected arrival time at their POD throughout the entire voyage, a critical advantage in a new world that is constantly grappling with global supply chain disruptions," said Ami Daniel, Co-Founder and CEO of Windward.

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