"Predictive maintenance makes the use of real-time data, AI models, and pattern recognition to spot the possible problems before they lead to any failures. Instead of fixed schedules, it depends on dynamic vehicle condition data to understand when maintenance is really needed."
"Both approaches share the same important flaw: they don't include and retain the actual condition of the vehicle. A truck that carries heavy loads on rough roads needs more periodic attention than one making light deliveries on smooth highways."
Traditional vehicle maintenance relies on reactive and time-based methods, both of which can lead to unnecessary costs and issues. Reactive maintenance addresses problems only after they occur, while time-based maintenance often results in either under or over-maintenance. Predictive maintenance, utilizing AI and real-time data, offers a more efficient solution by assessing vehicle condition and predicting when maintenance is truly needed. This approach minimizes breakdowns, lowers costs, and extends vehicle lifespan by focusing on actual wear and driving conditions.
Read at Business Matters
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