Most fleets are over-vehicled by 10–20%. Sunrun, the residential solar installer, identified 376 underutilized vehicles across its fleet and captured $3.5M in annual savings just by right-sizing asset deployment by location. If it happened at that scale, it’s almost certainly happening in yours.
The catch: most fleet managers don’t know which vehicles are dead weight. Your telematics system tells you where trucks went. It doesn’t tell you which trucks should be sold, redeployed, or never replaced when they age out.
That gap—between “we have GPS data” and “we know which assets we actually need”—is where fleet budgets quietly bleed out.
Why Right-Sizing Is Harder Than It Looks
The obvious answer is to pull a utilization report from your telematics platform. Samsara, Geotab, and Motive all offer some version of this. You’ll get mileage by vehicle, idle time, engine hours.
What those reports won’t give you:
- Cost per mile by vehicle, blended across fuel, maintenance, tires, and depreciation
- Cross-location context — is Vehicle 47 underused fleet-wide, or just underused at Site B while Site A is short-staffed?
- Maintenance cost history alongside utilization — so you’re not flagging a low-mileage truck that’s actually your most expensive asset to keep running
- Replace-vs-repair signals — whether an underused vehicle is worth redeploying or should be disposed of based on its total cost trajectory
Telematics platforms generate events. Fleet intelligence connects those events to dollars — and to decisions.
The Real Definition of “Underutilized”
Before you start flagging vehicles, define your threshold. Industry benchmarks vary by segment:
| Segment | Typical Utilization Threshold |
|---|---|
| Light commercial / service | <60 days driven per quarter |
| Medium-duty work trucks | <50% of shift hours engaged |
| Heavy-duty / OTR | <8,000 miles/month |
| Construction equipment | <40% of scheduled hours |
A vehicle below its segment threshold isn’t automatically a cut — it might be a strategic spare, a seasonal asset, or a vehicle held for peak demand. The question is whether the cost of keeping it is justified by the risk of not having it.
A truck costing $0.33/mile all-in (the PDM Steel benchmark) sitting at 20% utilization is burning roughly $800–$1,200/month in pure carrying cost before it turns a wheel. Multiply that across a dozen underused units and you’re looking at a six-figure annual drag that shows up nowhere on your P&L as a line item.
How Sunrun Found $3.5M Nobody Was Looking For
Sunrun didn’t set out to right-size its fleet. They set out to understand why maintenance costs varied so dramatically across their regional operations. When Link-X normalized their cost and utilization data across locations — standardizing inputs from different telematics feeds and maintenance records — the pattern became impossible to ignore.
376 vehicles were consistently sitting. Not because regions didn’t need trucks, but because deployment decisions were made locally, historically, and without visibility into what neighboring regions were doing. Some locations were over-vehicled. Others were renting spot capacity because they didn’t know assets were available 40 miles away.
The fix wasn’t a technology project. It was a data clarity project. Once the numbers were visible in a consistent format across the full fleet, the redeployment and disposition decisions were obvious. Total fleet value impact: $16.9M — the $3.5M in annual run-rate savings was just the carrying-cost piece.
A Practical Framework for Finding Your Underused Assets
You don’t need a six-figure analytics engagement to start. Here’s a five-step process you can run with whatever data you have today.
1. Pull 90 Days of Utilization by Vehicle
Use your telematics platform’s utilization export. Flag anything below your segment threshold. Don’t act yet — this is your suspect list, not your cut list.
2. Layer In Maintenance Cost Per Vehicle
Pull your last 12 months of R&M spend by unit from your shop management system or maintenance records. Calculate cost per mile. Any vehicle with both low utilization and high cost-per-mile is your highest-priority target.
3. Map by Location
Cluster your suspect list geographically. Are the underused units concentrated in specific yards, regions, or job sites? Concentration suggests a structural mismatch — too many assets assigned to a location that doesn’t need them — rather than random variation.
4. Check Upcoming Replacement Decisions
For every flagged vehicle, check its age, mileage, and any open or recurring maintenance issues. A vehicle you were planning to replace in 12 months anyway isn’t worth redeploying. It’s a candidate for early disposition — which frees up capital now instead of later.
5. Quantify the Carry Cost
For each candidate, calculate: (Cost per mile) × (Miles driven last 12 months) vs. (Your fully-loaded carrying cost — insurance, depreciation, financing, storage). If carrying cost exceeds utilization value, you have a business case.
What “Right-Sizing” Actually Means Operationally
Right-sizing doesn’t always mean selling trucks. It can mean:
- Redeployment — moving underused assets from overstaffed locations to understaffed ones
- Deferred replacement — if a location is running excess capacity, it doesn’t need a new truck to replace an aging one
- Lease returns — getting ahead of end-of-term decisions on assets that aren’t pulling their weight
- Pool conversion — moving dedicated-assignment vehicles into a shared pool to improve utilization rates without reducing headcount
The Sunrun result came primarily from redeployment and deferred replacement — not mass disposals. The cost savings came from buying fewer new trucks, not from selling old ones at depreciated value.
Where Link-X Fits
The hard part of this analysis isn’t the math — it’s the data normalization. Most mid-size fleets have utilization data in their telematics platform, maintenance cost data in a shop system or spreadsheet, and location data in a dispatch tool. These systems don’t talk to each other. Building the unified view manually is a multi-day project that most fleet managers don’t have time for, and even when they do it, it goes stale within weeks.
Link-X sits on top of your existing telematics (Geotab, Samsara, Motive), fuel card feeds, and maintenance records — and builds the unified cost-and-utilization picture automatically. The fleet-health dashboard flags underutilized assets alongside their cost-per-mile, maintenance history, and upcoming PM obligations. When a vehicle shows low utilization and a deteriorating cost trajectory, the replace-vs-repair signal surfaces without anyone having to manually cross-reference three spreadsheets.
The Sunrun analysis didn’t require Sunrun to change their telematics or their shops. It required connecting the data they already had and making it readable in one place, across all locations, in a consistent format.
Start With What You Have
If your fleet has more than 25 vehicles and you haven’t done a utilization-vs-cost analysis in the last 12 months, there’s a reasonable chance you’re carrying assets you don’t need. The industry evidence is consistent: 10–20% underutilization is the norm, not the exception.
You don’t have to find $3.5M to make the exercise worth it. Finding two trucks you can defer replacing — at $60,000–$80,000 each — pays for a lot of analysis time.
Want to see what Link-X surfaces across your fleet? Connect with us at link-x.com/contact and we’ll show you what the data looks like when it’s actually connected.
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