Rather than a static maintenance schedule that gets updated a few times a year, a predictive analytics model can continue to learn from thousands of performance data points collected from manufacturing plants, suppliers, service providers and actual vehicles on the road. The industry is well on its way to completely customized maintenance schedules that evolve over time to be increasingly more tailored to individual drivers and vehicles, and can even adapt to changing conditions and new performance information.
The same technologies enable predictive maintenance for fleet management, saving on major repairs and protecting the ROI on each vehicle. Predictive maintenance can also help keep manufacturing systems working at optimal performance levels — protecting yield, helping to ensure quality and safety, and ultimately saving time and money.
Benefits for the company
Predictive maintenance helps increase customer satisfaction and brand reputation, while also improving compliance with recommended maintenance. It can also be a source of additional revenue for car makers as an added-value service
Type of expertise/ AI domain
Regression analysis, Ranked scoring, real-time analysis and prediction
Internal data required
Real-time sensor data