Stay ahead with predictive car maintenance and connected fleet and driver management

We help you optimize your auto fleets and determine the conditions that impact car performance, passenger experience & safety.

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Process automation, predictive maintenance, and anomaly detection are at the forefront of R&D efforts in the automotive industry. Waylay is helping automotive companies to optimize their fleets and determine the conditions that impact performance, passenger experience & safety.

As we are transitioning from the age of products to the age of service and experience, from functionality to information as the critical object of value creation, and from warehouses to intricately connected systems, the automotive industry is not lagging behind in scaling up its potential with IoT.

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Stay ahead with predictive car maintenance and connected fleet and driver management

We help you optimize your auto fleets and determine the conditions that impact car performance, passenger experience & safety.

Read our use cases

Predictive Maintenance

Monitor your valuable machines, buildings or assets to predict when certain parts should be maintained or interchanged. Yet for many companies in manufacturing, there is still a gap on predictive and preventive maintenance, and managing the maintenance of machines and equipment asks for a disruptive move. Using Waylay's powerful rules engine to monitor the data coming from these resources, businesses stay ahead of the competition by providing a sublime maintenance service, mitigating asset failure risk and avoiding unexpected production stops. Knowing what part will fail reduces wasted time for both clients and the repair crew.

Condition-based maintenance plans

Dispatching maintenance engineers based on recurring time-based maintenance schedules is more efficient with IoT enabled assets. With Waylay you are able to assess when equipment needs maintenance, when it’s not functioning at its best efficiency point and when certain parts need replacement. Waylay can create rules that validate the IoT telemetry against asset type-specific or plant-specific acceptance thresholds. If the asset is consistently running outside the acceptable ranges, a maintenance intervention can be expedited. When Waylay has generated various ‘Production Failure Alarms’ for an asset in the last few days, then Salesforce Service Cloud et al. can prioritize the work schedules for the Engineers.