XPO Logistics pilots machine learning tools in LTL

XPO Logistics

XPO Logistics is piloting XPO Smart workforce productivity tools in its less-than-truckload (LTL) network in North America. LTL terminal managers in Massachusetts, Michigan and North Carolina are using the proprietary analytics to make dock operations more efficient.

XPO’s latest optimization tools compare real-time productivity rates with the number of active dock workers, using machine learning to predict how adjustments in labor levels affect productivity. The tools track motor moves (goods moved from dock to truck) against production targets and analyses productivity gaps to improve performance. The LTL pilot follows the company’s successful introduction of workforce planning analytics in its warehouse operations in March.

Mario Harik, chief information officer of XPO Logistics, said, “While the dynamics of labor productivity differ from service to service, the goal is the same: the greatest possible efficiency for our customers. With XPO Smart, we have the infrastructure in place to achieve this. Our pilot LTL operators are acting on insights gained from site-specific machine learning and our predictive analytics.”

The company expects to conclude the LTL pilot program in the third quarter and begin a phased roll-out of the new tools to its 290 terminals.

Source: XPO Logistics