This project analyzes the on-time performance of Less than Truckload (LTL) carriers measured by the differences between their published (or scheduled) and actual transit times. By applying statistical methods including logistic and linear regression over a full year of shipment data, it was determined that shipment attributes, accessorial services, appointments being made, and regional lane characteristics all have significant influences on the likelihood and severity of delays. A set of carrier performance indication tools were developed to enhance C.H. Robinson’s carrier-selection decisions with improved transit times given specific shipment characteristics. Ultimately, these findings empowered C.H. Robinson with practical, datadriven insights into the reliability of LTL services.
