DB Schenker Launches AI-Based Supply Chain Monitoring Solution

DB Schenker has launched its supply chain monitoring tool Ocean Bridge to provide customers with the highest planning certainty—down to vessel, shipment, and container level in ocean freight. On an interactive map, Ocean Bridge shows accurate, AI-based data around the estimated time of departure, berthing, and arrival of vessels, plus their port rotations on the entire service loop. This complete visibility of maritime operations enables customers to manage their supply chain most efficiently. They are able to avoid unplanned transportation costs by proactively adapting to changes and disruptions at any time.

Thorsten Meincke, Member of the Management Board Air & Ocean Freight at DB Schenker, said: “DB Schenker’s customers are most empowered to make informed decisions and improve operational efficiency thanks to Ocean Bridge. This AI-based tool represents a significant advancement in maritime logistics technology and underscores DB Schenker’s commitment to innovation and excellence in the logistics industry for the sake of our customers.”

Eva Grieser, Director Data Management & Architecture, Ocean Freight at DB Schenker, added: “Ocean Bridge is pairing dynamically augmented event chain data with artificial intelligence. Our customers can take preventive action before challenges occur and thus avoid costs.”

At a single glance, the interactive map visualizes container information and offers a comprehensive overview. It uses telematic data and dynamic algorithms, which include AIS (Automatic Identification System) positions and augmented port rotation details, providing fully predictive schedules of increased reliability. Users are presented with detailed vessel status and live location updates, as well as access to predicted service loops and port rotations as soon as the shipment is on the water.

With full visibility on estimated time of arrival as well as berth predictions, users can plan more effectively and are enabled to take preventive actions in the event a disruption is forecasted and outlined. Added costs of potential delays are minimized effectively, therefore managing the threat of disruptions during transit. In times of increasingly occurring global disruptions, the tool identifies delays and gives the option to continuously recalculate routes, supporting timely decision-making.

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