In Field Service Management you may schedule an hour for a technician to complete a repair, odds are the job will take longer or shorter, depending on the job type or skill level of the technician. For example, replacing a utility meter might average an hour, but a more experienced tech might be able to finish the job in half the time. This leads to unnecessary idle time even though that same tech could be completing twice as many jobs that day. Likewise, if the assigned tech takes two hours to complete the job, that means schedule delays and unhappy customers.
Predictive job duration calculates the most accurate time it will take for a technician to complete a field service job, based on all relevant job details and technician information. In other words, it forecasts how long it will take a particular technician to successfully complete a specific job type. Having this information while scheduling can help you maximize the productivity of your field service.
In FieldAx predictive solutions factor in individual technician skills and historical job data to automate scheduling decisions for you. This includes a particular technician past performance during a particular job type or time of day, and when with a specific customer. Averages don’t reflect reality so you can’t count on precision. But using actual and individual performance data, based on multiple scenarios is much more accurate and leads to optimal decisions for your business.
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