Predicting LTL Freight Modal Conversion Cycles

Authors:
Bobby Kheny, Claire Urbi
MIT Supply Chain Management Program

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Summary:
The sponsor’s motivation for the study is to build off the success of a 2023 Capstone project that demonstrated a correlation between TL market tension metrics and LTL volume. This capstone will use the established correlations and explainable machine learning to provide them with insights that can determine future LTL volume.


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