How a Railroad Pivoted Into a Data-Driven Logistics Giant

Union Pacific is 160 years old and runs 32,000 miles of track. In this episode, Lucas and Luna explore how the railroad giant pivoted from hauling freight by steam to running a data-driven logistics network that rivals modern tech companies. They break down the specific moment in 2018 when CEO Lance Fritz decided to ditch the 'precision scheduled railroading' dogma and instead build a real-time operations platform. The episode dives into the concrete numbers: how the railroad cut fuel consumption by 6 percent while improving on-time delivery by 12 percent using machine learning models that predict train congestion. It's a case study in how an old-economy infrastructure company can reinvent itself without abandoning its core business. Lucas and Luna also discuss the tension between Wall Street's demand for efficiency and the operational reality of running trains on aging tracks through unpredictable weather. #UnionPacific #Railroad #Logistics #DataDriven #MachineLearning #PrecisionScheduledRailroading #LanceFritz #SupplyChain #Infrastructure #Pivot #BusinessTransformation #OldEconomy #TechInTransport #Operations #FexingoBusiness #BusinessPodcast #ThePivotPodcast #Disruption Keep every episode free: buymeacoffee.com/fexingo