ISyE Seminar: "Time series forecasting in logistics"
About the seminar
While the time series beloved by venture capitalists go up and to the right, many other time series, including those in freight, exhibit multi-season cyclicality or periodicity. The business cycle, agricultural cycles, holidays, and more all influence freight time series. This talk will delve into time series that show layers of cyclicality and highlight different methods for attempting to understand the complex system of freight logistics in the U.S. I will also focus heavily on the business trade-offs inherent in modeling choices, as this is not a theoretical exercise but a practical one.
About the speaker
Dr. Kaisa Taipale is the Director of Data Science at C.H. Robinson, the largest third-party logistics firm in the United States. She was formerly a faculty member in the School of Mathematics at the University of Minnesota Twin Cities working with the Minnesota Center for Financial and Actuarial Mathematics.