Service and parts professionals at North American dealerships are transitioning from reactive repairs to predictive models. They’re doing so by leveraging intelligent, data-driven ETAs to counter parts shortages and elevate owner satisfaction amid rising repair demands.
That is, ETAs that are capable of dynamically recalibrating for disruptions like storms or strikes to ensure seamless workflows from supplier to bay. This visibility not only curtails loaner vehicle costs but also improves tech utilization, driving the U.S. automotive service market toward $266.56 billion by 2030 at a 6% annual growth rate. In an era where aging fleets are, on average, 12 and a half years old and EV maintenance is complex, these strategies minimize throughput bottlenecks, fostering higher margins and trust-based relationships.
