Reimagining fleet management with predictive maintenance

karthipriya s | July 19 - 2018


Artificial Intelligence and Internet of Things are bringing in the new world of fleet management. Where organizations earlier implemented manual metrics and mere guesswork to schedule their vehicle maintenance, the emergence of predictive analysis has changed their approach towards preventing and mitigating parts failure.

For organizations that solely operate on fleet basis, unplanned maintenance and sudden vehicle breakdown can severely derail the daily activities. Predictive maintenance aims at minimizing delayed operations and unexpected maintenance costs by empowering fleet managers with the ability to identify vehicle failure before they even occur.

The new age of fleet maintenance

Predictive maintenance employs the principle of predictive analytics and artificial intelligence to make data-driven decisions about when to schedule the next vehicle maintenance. Using the sensors implemented in the fleet, data is collected about various components, including coolant temperature, tire pressure, engine condition. Using machine learning, the data are analyzed and interpreted based on the historical and real-time information to identify patterns and vehicle condition. Depending upon this, alerts are sent to the fleet manager about imminent parts failure.

This way, fleet managers can mitigate damages at a minimum level, without having to replace the complete engine. Instead of facing costly failures and managing heavy downtime expenses, fleet managers can rely on predictive analysis and plan their vehicle maintenance intelligently.

Advanced analytics for better results

With Predictive maintenance, businesses can not only bring orderliness to their schedules, but also derive innumerable benefits:

Minimized downtime

Businesses that operate on tight schedules understand the value of time. When vehicle breakdowns occur unexpectedly, the entire operations are at risk, subsequently resulting in missed opportunities and inefficient deliveries.

Predictive maintenance reduces vehicle downtime that arises from parts failure by identifying the problem days before they occur. This way, fleet managers are always one step ahead.

Optimized fuel consumption

Most fleet managers overlook the impact of poor vehicle maintenance can have on fuel consumption. With rising fuel expenses, such mishaps can only increase the burden. Proper vehicle maintenance help businesses to improve fuel efficiency. In fact, a small act of monitoring and maintaining a vehicle’s tire pressure can help businesses save up to $2,400 per year.

Reduced unplanned maintenance costs

When advanced analytics constantly monitor the performance of a vehicle and its components, it becomes easier to know which part is likely to fail and when. Fleet managers can control maintenance costs by fixing minor repairs and reduce unplanned maintenance.

Predictive maintenance can set the benchmark for businesses to stay competitive by minimizing operational costs and broadening its opportunities. Leverage the advantage of prediction and strengthen fleet management with CerebroX.