Predictive Maintenance for improving vehicle Uptime
Predictive analytics is an impressive manifestation of data science that uses data analytics to make predictions about future outcomes of a vehicle.
CerebrumX utilises historical data and machine learning techniques to generate predictive maintenance insights into the future with astonishing accuracy. Our AI-powered Augmented Deep Learning Platform collects and harmonizes data from multiple OEMs and other sources in real-time predicting the possibility of an issue/breakdown based on past occurrence of events.
Utilize predictive maintenance insights for:
Remote Health Monitoring
Ensure appropriate working of vehicle within specified parameters, identification of faults and defect status; an early warning that a part is likely to fail and the estimated time to failure.
Troubleshooting Error Codes
Real-time analysis, resolution and calibration of vehicle error codes;finding bugs in code that can lead to vehicle failures.
Optimize Maintenance Costs
Send proactive maintenance reminders and quality enhancement service calls to fix common issues that lead to expensive breakdowns.
Roadside Assistance
Quick and easy resolution to customers stranded on the roadside, based on location. Vehicle data helps roadside service providers identify where exactly the car broke down and what’s wrong with it. It also predicts if roadside assistance or phone assistance would be needed.
Improve Customer Engagement
Advise vehicle owners on diagnostic issues to minimize usage risks, optimize future asset value and build consumer trust.
Automate Dealer Operations
Communicate customer requirements to dealerships in advance, to enhance fault-resolution, restocking and task-completion efficiency.
Our connected vehicle Coverage in NA
