How Motorq Customers Are Using Fuse Assistant to Get Answers Faster

If you manage vehicle portfolios for a living, you’re used to having questions that are difficult to answer.
Not because the data isn’t available — most already have plenty of vehicle data. It’s that knowing which report to pull or which filter to apply isn’t always obvious. Getting to the answer has meant knowing your way around multiple systems, and not everyone has the time to become an expert in all of them.
That’s been the nature of working with vehicle data. The information exists, but it's never been as simple as just asking for it.
Fuse Assistant changes that. With Fuse, you can type a question in plain language, the same way you'd ask a colleague who knows the data inside out, and you get an answer right away.
In this post, we’ll walk through some of the most common ways teams are using Fuse Assistant, along with some prompts worth trying.
1. Daily Mileage & Utilization
Mileage and trip reporting is one of the most common uses of Fuse Assistant because it helps teams quickly understand how vehicles are being utilized across their operations.
Customers use these insights to identify underutilized assets, compare activity across regions or accounts, and better understand how vehicles are being used over time.
A common starting point is a simple question:
“Show me vehicles that have driven less than 50 miles in the last 30 days. I want to identify underutilized assets.”
Fuse Assistant immediately identifies the relevant vehicles and provides the mileage information needed to evaluate utilization across the fleet.
From there, customers often ask questions such as:
- Break this down by region.
- Which vehicles have the highest idle time?
- Show me vehicles that haven’t moved in two weeks.
- Compare this against last quarter.
Because Fuse Assistant maintains context across the conversation, teams can continue exploring the data without rebuilding reports or starting over each time. A simple utilization question can quickly turn into a deeper investigation that helps identify opportunities, trends, or operational issues.
2. Identifying Excessive Vehicle Idling
While utilization data helps teams understand how vehicles are being used, idling data helps uncover where operational inefficiencies may be increasing fuel consumption and vehicle wear.
Fleet managers may know excessive idling is occurring, but identifying the vehicles responsible can be difficult across a large fleet.
For example, a fleet manager might ask:
“Show me the highest idling hour vehicles for May"
Fuse Assistant returns a ranked list of vehicles with the highest recorded idling hours, making it easy to identify where corrective action may be needed.
These insights can help organizations reduce fuel waste, improve operational efficiency, and prioritize coaching or maintenance efforts for vehicles showing unusual behavior.
Once the initial results are returned, teams can continue investigating with questions such as:
- Which vehicles have increased idling compared to the previous month?
- What is the estimated fuel cost associated with this idling activity?
- Are there specific regions or locations contributing to higher idle times?
- Which vehicles consistently appear among the highest idling assets?
Rather than treating idling analysis as a standalone reporting exercise, teams can use Fuse Assistant to move from identification to investigation in a single conversation, helping them understand not just where idling is occurring, but why.
3. Reducing Vehicle Downtime
Vehicle downtime is rarely caused by a single issue. More often, it is the result of a combination of health alerts, fault conditions, and maintenance concerns that can be difficult to prioritize across a large fleet.
A common starting point is:
“Which vehicles are most likely to cause downtime?”
Fuse Assistant returns a prioritized list of vehicles along with the health issues and conditions contributing to potential downtime risk. This gives teams a clear starting point for investigation and helps focus attention on the assets most likely to impact operations.
The initial results often lead to additional questions such as:
- Vehicles requiring immediate attention
- Health issues contributing most to downtime risk
- Vehicles with recurring fault conditions
- Vehicles with the highest concentration of active issues
- Vehicles with unresolved health alerts
- Trends in downtime risk across regions or groups
Because Fuse Assistant can build on previous results, teams can move from identifying at-risk vehicles to understanding the underlying causes and prioritizing next steps, all within the same conversation.
Put Fuse Assistant to Work
For many teams, Fuse Assistant changes how they work entirely. Instead of navigating through reports and dashboards trying to figure out where the answer lives, they just ask. A single conversation can cover what previously took multiple steps across multiple systems.
The best way to get a feel for it is to start with something real. Think about the last time you had a question about your fleet and didn't bother looking it up because you knew it would take too long. Which vehicles have been sitting idle this month? Which assets are most likely to cause problems this week?
Start there. You might be surprised how quickly you get an answer...
Ready to stop hunting through dashboards and start managing your fleet at the speed of conversation? to see Fuse in action.