Machine Learning Applications in Logistics: Predicting Truck Driver Turnover

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Join us for the first webinar of 2024 in the MITx MicroMasters Program in SCM! Dr. David Correll, Lecturer and Research Scientist at the MIT Center for Transportation & Logistics and Co-Director of the MIT FreightLab, will join hosts Laura Allegue and Kellen Betts, Course Leads in the MicroMasters Program, to discuss recent work in the FreightLab that aims to solve a significant challenge in many supply chains — truck driver turnover. Using machine learning to predict which drivers are at risk of leaving, this research helps companies develop new interventions and strategies for driver retention. In this interactive live event, Dr. Correll will share their research approach and preliminary results working with distribution companies. The event is free and open to all. Don't miss it!