Home » E.ON switches to FLS ‘smart’ scheduling system

E.ON switches to FLS ‘smart’ scheduling system

by Mark Cantrell
Energy provider E.ON has awarded a field service planning and scheduling contract to FLS – Fast Lean Smart to help improve the efficiency of its operations

Energy provider E.ON has awarded a field service planning and scheduling contract to FLS – Fast Lean Smart to help improve the efficiency of its operations.

More than 1,000 engineers in E.ON’s Smart Field Connections team will be equipped with the FLS Visitour scheduling solution; a move that is expected to improve efficiency and service.

E’ON’s teams are tasked with completing 600,000 installations a year – covering energy efficiency kit such as smart meters, solar panels, air source heat pumps, and more – in addition to service appointments.

With more than 5.5m customers, E.ON is a long-term user of scheduling software, and has benefited from this experience when selecting a next generation solution. Key to selection was also compatibility with its Microsoft Dynamics 365 Field Service solution.

Lee Durham, head of technology, UK solutions at E.ON, said: “Delivering net zero and creating a future energy system that is smart, personalised and sustainable demands engagement with customers on a level never seen before.

“E.ON is one of the leading installers of smart devices and low carbon solutions in the UK, meaning we need a system to schedule appointments in the most efficient and convenient way for our field agents and, obviously, for our customers.

“We wanted a mature solution with proven capability and integration with Dynamics 365 in order to achieve maximum value and to meet our timescale to be live within a few months.”

FLS Visitour is expected to add “critical value” to E.ON by delivering enhanced real-time planning and scheduling capabilities.

Features that are said to enable the most accurate routing include AI-predictive traffic-based driving speeds, and appointment booking with the FLS PowerOpt algorithm. This is claimed to calculate the relative cost of each possible timeslot through real-time optimisation. The result is more efficient routes that cut driving time and mileage, and significantly reduce carbon footprints.


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