It is estimated that 90% of data generated onboard the a ship never leaves the deck. Ship operators and crew lose invaluable insight, forecasting and analytics that improves performance and efficiency. Based on real time communication, sensors and exiting onboard ship data can be processed and combined with onshore data as well as satellite monitoring. This allows to optimize fuel consumption, routes, speed and ultimately safety ands security. Fleet optimization, based on AI, allows operators and ship crews to use digital control systems that connect the digital dots between navigational data, operational processes, fuel efficiency, weather, port congestion, safety, etc. The reduced environmental impact, risk management and cost savings are obvious.
Using AI for the analysis of vast amounts of data collected globally from tens of thousands of vessels at sea, in real time, will have significant impact on the future of shipping. AI algorithms can predict and prevent potential accidents by identifying risks, monitoring vessel performance, and optimizing navigation routes. AI-powered systems can integrate data from various sources such as weather patterns, real-time sensor data, and historical records to provide real-time insights and decision support for ship operators and captains, ultimately reducing the risk of collisions and ensuring safer voyages.
AI can revolutionize fleet and cargo management by optimizing operational efficiency and resource allocation. AI algorithms can analyze historical data, market trends, and shipping routes to predict demand, optimize vessel routes, maintenance schedules and recommend the most efficient cargo distribution strategies. By leveraging AI, shipping companies can minimize fuel consumption, reduce costs, and optimize the utilization of vessel capacities, resulting in increased profitability and sustainability.
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