Automobile

Challenge:

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.

Solution:

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.

Results:

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 )