Together FleetFocus and KeyValet have allowed us to improve the service that we offer our customers. As long time users of FleetFocus, it was very important to us to find a motor pool system that worked seamlessly with our existing system. Other systems were available, but they only offered one way communication with the fleet management software and that wasn’t good enough for us. By adding KeyValet automated motor pool boxes to our motor pool we are able to make the service available 24/7/365 and get improved fleet data with less administrative costs. This has been a win-win for the fleet department, as well as for the customers of the motor pool. Additionally, because of the integration with FleetFocus, we can address the situations that may arise with motor pool vehicles in real-time using our existing software. We have had a tremendously positive reaction from our staff and our customers. KeyValet gave us the rare opportunity to improve customer service while simultaneously reducing costs.

Our mission has always been to provide the best possible public transit services that get people on the bus and improve regional mobility and quality of life in King County. FleetFocus and FuelFocus help us do that.

Recently we were able to recommend a new technology for police vehicles to encourage additional fuel savings.

Technology has made the job of a fleet manager much easier. We view this as a tool that helps us service the vehicles better, which in turn helps those vehicles serve the public better.

The quickest answer may have been to simply draw a line in the sand and force departments to get rid of the vehicles necessary to meet the 20% fleet reduction goal, However, that strategy wasn’t necessarily the most intelligent. We innovated to find proactive solutions that met the Governor’s promise to the taxpayers while striving to provide the same transportation levels to all the departments and employees we serve.

Using FuelFocus will help us automate many of those previously manual processes. It’s all about doing things efficiently and effectively while eliminating errors.

I think you will see more automation from the vehicles, and in turn communicating with the fleet systems themselves.

This process has made it so much easier for shop staff. the supervisor can manage the alert for them well in advance of the PM coming due.

One of the other things that we are finding that is beneficial for us is that we are teaching all the departments how to utilize and monitor their access to the software and the notifications system. so they can physically go in and maximize their use of the tool as well.

After starting the notifications, Keith, our Coordinator for the shop, had some communication with the operators and their Sergeants on the Notifications process asking for some slight changes and after a few adjustments. we heard positive feedback on how the process was working and as I monitored the PM compliance report it was showing proof that the process was working.

It [the system] works great and he gets a lot of compliments from the staff about the effectiveness of it.

I get wayyy too many emails. To estimate, I probably get 10-15 phone calls and 60-70 emails.

To me, AMP has so much potential. When you think of its role in what we’re doing as far as insuring state properties and political subdivisions, it has so much potential to save cost and be a dynamic risk tool to the insurance industry.

AssetWorks values their employees and fosters a culture of innovation from within. Employees are trusted and empowered to make decisions and mistakes. Ideas aren’t slow. This culture of trusting employees and focusing on innovation is the same way Transystems runs, which was very appealing from the beginning. We chose a vendor that shares the same values as us,

The system has made the biggest difference in reducing overtime and increasing employee efficiency.

The State of New Mexico is now at the forefront of increasing worker productivity in maintenance while keeping other state agencies informed of progress on work orders in near real-time.