DB Schenker launches augmented supply chain monitoring solution Ocean Bridge
Ocean Bridge offers real time insights into cargo’s whole ocean journey consistent visibility down to container level generative AI with most reliable forecasts for shipments in ocean freight.
www.dbschenker.com
DB Schenker launches its supply chain monitoring tool Ocean Bridge to provide customers with 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 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 enabled 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: “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: “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. Utilizing 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 delay potentially are minimized effectively managing the threat of disruptions during transit. Also, customers can significantly avoid unnecessary demurrage and detention costs by managing delays. In times of increasingly occurring global disruptions, the tool for instance identifies delays and gives the possibility to continuously recalculate routes, supporting timely decision-making.
www.dbschenker.com
