Normally the fastest route between two ports would be a straight line. But what if that straight line is filled with bad weather, danger, and other hazards? And how would you know? Through the collection of data your logistics supplier can plan the most efficient route; steering clear of thunder strikes, troublesome waves, and even pods of whales. Data is collected through 140.000 points all around the vessel, collecting more than a whopping two terabytes of data to be analysed and used for machine learning to constantly optimise route planning.
Data create efficiencies for both climate and wallet
By finding a more efficient route utilising data not only can delivery times be improved, but less fuel can be consumed, making the route more affordable while also cutting down on carbon dioxide emissions.
And if this wasn’t enough, these efficiencies can create a ripple effect across the entire network. Usually ships have a certain slot-time, when they need to dock and have their goods unloaded to trucks or a train. If a ship is delayed, this can create queues not only at sea, but also in the ports and at warehouses. Data can help predict when a ship is ready to dock, providing visibility to mitigate irregularities and help plan the links of the supply chain better.
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