Proactive maintenance has been a long-standing challenge in the automobile sector. Static, universal maintenance schedules do not take the differing vehicle usage patterns etc. into consideration. Costly maintenance and breakdowns are the consequences.


Machine learning can help protect the safety of both drivers and vehicles by providing precise and up-to-date maintenance recommendations. A vehicle with predictive maintenance collects data throughout the day, and through alerts based on irregularities, data analytics can predict when the vehicle is in a need of maintenance, as a result avoiding breakdowns and costly repairs. Because of this, it’s more up-to-date than vehicles that are on a static maintenance schedule.


Predictive Maintenance increases equipment uptime by 10-20% and reduces overall maintenance costs by 5-10% and maintenance planning time by 20-50% (Reference – Deloitte )

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