Authors:
Mostafa Taheri, Shayna Moliver
MIT Supply Chain Management Program
58
Summary:
This capstone project addresses a key shortfall in the truckload freight industry by developing a universal budgeting model for shippers within the $400B truckload industry. We employ advanced data analytics and machine learning techniques, utilizing data from C.H. Robinson to identify the sources of uncertainty and variability. Our objective is to develop a budget forecasting tool to predict routing guide failures and spot market utilization throughout various market cycles.
Bravo