Case Study

Reducing Maintenance Costs up to 40 percent for Connected Vehicles

Reducing Maintenance Costs up to 40 percent for Connected Vehicles

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Navistar is a leading manufacturer of commercial trucks, buses, defense vehicles, and engines, widely known for its International® Truck and IC Bus® brands. Challenge Typically, vehicle manufacturers schedule vehicle maintenance based on miles traveled or time since last appointment. But these are very rudimentary and only two of thousands of data points that can signal the need for maintenance. Unscheduled maintenance and vehicle breakdowns account for a large share of total costs for vehicle owners. To help fleet and vehicle owners move from a reactive approach to a more predictive model, Navistar needed to analyze a wider range of data in real time, including vehicle sensor data. However, its traditional data warehouses couldn’t support the growing volume of fast-moving, high-

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