ServicePower, a company that offers field management software for field service organizations with mobile workforces handling jobs such as installations, repairs and deliveries, has recently ranked the best and worst U.S big cities for service job travel times.
A report was released after the company analyzed 650,000 customer appointments in thousands of cities over a 12-month period to come up with the list of best and worst driving times. According to the company’s survey Washington, D.C (52.3 minutes), San Jose, CA (News - Alert) (47.68), and Virginia Beach, VA (45.78) took the longest travel time when compared with other 50 metro areas.
“Technicians drive an hour between appointments in Washington, D.C., spending half the day in the vehicle,” said ServicePower CIO Simon Cooper. “That wasted time contributes to customer dissatisfaction, lost revenue and wasted fuel. Field service organizations need technology to optimize tools to create the best technician schedules and driving routes to ensure business metrics are met.”
New York City, which is sometimes termed as the most congested city, is at the No. 47 position on the ServicePower list of travel times for service jobs, at less than 29 minutes.
The survey indicates that the technician travel times is not just influenced by traffic, but also other factors such as proximity between appointments, number of available roads, time of day, and other variables such as stop lights and tolls.
“Scheduling technology shortens the appointment window for customers, because it chooses the best sequence of jobs based on a variety of factors, including local congestion levels.” Cooper said. “Business intelligence tools give field service organizations like cable companies, appliance retailers or insurance providers an opportunity to keep appointments, improve customer service and complete more jobs.”
ServicePower recommends that its Scheduling software is ideal for supervisors to pre-calculate, weight and store in memory drive the times for real-time routing, and optimizing appointments based on factors such as location, nearby jobs, job duration, technician skill level and best routes. These built-in features help users to avoid long drive times and inefficiency.
Edited by Rory J. Thompson