Machine Learning is a natural choice in the Logistics domain for various problems like predicting the mode of movements of goods i.e. rail vs. road, predicting trailer types, etc. StARLinG Lab along with Turvo is looking to create an automated statistician which will embed the relations in a knowledge graph from shipments. We are also building a regressor model which would provide an approximate cost of the shipments and hence aid brokers to bargain a fair price.

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