Predictive, or condition-based maintenance, refers to the process of monitoring fleet condition and operations regularly to reduce the chances of a breakdown. Compared to reactive maintenance, this approach offers significant cost-savings as maintenance tasks are conducted only when required.
Any fleet manager and maintenance team can use AllRide’s predictive maintenance tools to monitor impending maintenance tasks and vehicle failures.
As the solution provider, AllRide surveys multiple fleet business owners to identify the most common challenges these industries face.
Predictive maintenance uses empirical and real-time data from multiple touchpoints within your business operations to predict problems before they occur. Multiple embedded or third-party tools collect data and process them to provide actionable insights on areas that require attention.
Breakdowns occur due to malfunctioning components that remain undetected during fixed maintenance points. AllRide can help you retrieve vehicles before a mishap, preventing unexpected vehicle breakdowns.
Removing vehicles permanently from the fleet due to repeated breakdowns increases turnover costs, affecting the bottom line. Predictive maintenance can help in fleet upkeep, increasing the vehicle lifespan and reducing operational downtime.
Rigid vehicle maintenance routines can also result in unnecessary maintenance schedules creating a self-induced fleet shortage. AllRide can help you combat delayed deliveries and poor customer serviceability by creating flexible maintenance routines.
A direct result of static maintenance scheduling is higher operational costs, as your fleet operator has to adjust to unnecessary shortages. Predictive maintenance can improve financial performance and competitive advantage.
Delayed deliveries, unscheduled breakdowns, poorly planned maintenance routines, and lack of connectivity and communication hampers customer experience. AllRide provides connected insights that can be used to improve daily operations.