Freight Foresight: Predicting Write-Offs

Authors:
Joshua Weston, Oscar Bonet
MIT Supply Chain Management Program

60



Summary:
The sponsoring company, a 3PL, wants to establish a predictive model identifying shipments that are at high risk of being written off, where the 3PL is not fully compensated by shippers for services rendered by carriers. This problem will be approached using a series of logistic regression and machine learning models to identify the characteristics that increase the likelihood of a shipment write-off. Once these attributes have been identified, the sponsor will be able to detect potential write-offs before finalizing a shipment agreement.


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