Business Challenges

The number of vessels to transfer mine materials is limited. There are few big competitors and predict of available vessels for chartering is important for big mining companies. Using machine learning is an innovative method to predict the vessel availabilities in different regions

Suggested Solution

Gathering data from different internal and external resources automatically and feed the cleansed and sorted data to a Radom Forest prediction model can help mine companies to estimate the vessels availability and predict their final destination. This application is a powerful tool to reduce the cost of shipping dramatically and making sure that the produced materials will be delivered in the right time to the customers’ ports.