In the traditional service model, there is a proportional investment in overhead costs. To grow the service business, you must also grow the service technician footprint. This means that service providers often encounter high operating costs to hire and train more technicians to meet the increasing demand. Further, traditional field service relies on a reactive model—meaning that technicians are dispatched upon equipment error. This approach hinders field service success on several fronts. First, it increases customer downtime, and subsequently causes higher costs, reduced efficiency, and lower customer satisfaction overall. To combat some of the setbacks of traditional models, service leaders explored how to detect equipment issues proactively. Today, predictive and condition-based maintenance programs can detect issues before they become significant problems, allowing for streamlined resolutions at optimal schedules and costs. Further, IoT-enabled remote access and control allow users to connect with devices from afar, reducing the amount of technician dispatches needed to solve a problem and dramatically improving the mean time to resolution.
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