Fleet Utilization Software That Finds the Vehicles You Do Not Need
Every fleet keeps vehicles that exist to be available. Some of them earn that. Others have been parked for months and nobody has held the evidence to say so out loud. KO Fleetz measures what each asset actually does against what it costs to keep waiting.
The spare that has been spare for eleven months
It was bought for peak season, then kept because a depot manager argued convincingly, and now it sits at the back of the yard, taxed, insured and depreciating. Nobody defends it exactly. Nobody removes it either, because the day after it goes will be the day something breaks, and everyone will remember whose idea it was.
The trouble is that availability feels free and is not. A parked vehicle still carries insurance, licensing, depreciation and a periodic test. It occupies yard space and a slot in the maintenance plan. The cost is entirely real. It just never arrives as a bill that anyone connects back to that one decision.
The opposite failure runs alongside it. Three vehicles do most of the work, wear out early and live in the workshop, while similar assets two depots away sit still. Both problems stay invisible for the same reason: nobody is measuring what each vehicle does, only confirming that it exists.
Measure the work, then argue about the fleet size
KO Fleetz builds a utilisation picture per asset out of data the fleet already produces: ignition hours, days with a completed trip, distance covered, load carried, and time stationary with the engine off. None of it requires a driver to fill in a form at the end of a shift.
That turns the yard argument into a comparison. A vehicle used four days a month, carrying a known standing cost, sitting next to one used twenty-two. Whether the spare earns its keep becomes answerable, including the cases where the answer is yes. A recovery truck that runs twice a month is doing precisely its job.
KO Fleetz does not decide that low utilisation is bad. Context decides that, and the context is yours. A gritter, a fire tender and a standby unit all report terrible numbers and all should exist. What it does is stop low utilisation being invisible, so the decision gets made deliberately rather than by default.
Capabilities
What KO Fleetz fleet utilization gives your team
Days-used ratio per asset
Days with real work against days the vehicle was available, calculated per asset rather than averaged into a fleet figure that conceals both extremes.
Idle and parked analysis
Time stationary with ignition off, broken out by location, so a vehicle waiting at a customer reads differently from one sitting at the depot fence.
Duty cycle profiling
Distance, engine hours, load and stop count per vehicle, which is how you separate a genuinely hard-worked asset from a merely busy-looking one.
Workload balance across the fleet
Vehicles of the same class set side by side, exposing the three doing the work and the four that have quietly stopped being asked to.
Capacity utilisation
Payload or pallet space actually carried against what the vehicle could carry, because a full schedule of half-empty runs is not high utilisation.
Standing cost of idle days
Insurance, licensing, depreciation and finance expressed per day, so the cost of being available carries an actual number rather than a shrug.
Right-sizing scenarios
KO Fleetz models removing or redeploying named assets against the historical workload they genuinely covered, rather than against next year's forecast.
Seasonal demand view
Utilisation across the year by class and depot, which is what separates a real peak requirement from a habit nobody has questioned lately.
How it works
How KO Fleetz does it
Step 1: Establish what available means
Availability is defined per vehicle: shift pattern, planned service days, contractual standby. Without that, every asset looks underused at the weekend.
Step 2: Measure the work
Trips, ignition hours, distance and load come from tracking and trip records, so the figure derives from operations rather than from asking depot managers.
Step 3: Compare like with like
Assets are ranked within their own class and duty cycle. A tipper and a panel van are never competing for the same verdict about being underused.
Step 4: Decide, and record why
Redeploy, off-hire, sell or keep, with a stated reason. The reason stays on the record, which is what makes the review in six months worth holding.
Outcomes
What changes
- Measured per vehicle, never averaged away
- Per asset
- Idle days carry their standing cost
- Priced
- Vehicles compared within their own class
- Like for like
- Fleet size backed by workload evidence
- Defensible
Frequently asked questions
Several ways, and choosing one is the first decision. Days used against days available is the simplest and suits most mixed fleets. Engine hours against available hours suits plant. Distance against a target suits long-haul. Capacity carried against capacity offered suits distribution, where a vehicle can be out all day and half empty. KO Fleetz reports several and lets you pick which one governs, because a single ratio will flatter or damn the wrong assets.
No, and treating it that way is how fleets end up selling the recovery truck. Standby and emergency assets are supposed to be idle most of the time; that is the service they provide. Peak capacity is a real requirement even when it shows eight busy weeks and forty quiet ones. The point of measuring is not that every low number gets acted on. It is that low numbers stop being invisible, so the ones with no justification behind them can be found.
This asks one question in depth: is each asset doing enough work to justify its existence, and is the fleet the right size for the workload. The dashboard is a reporting surface that carries a utilisation figure alongside cost, fuel, maintenance and service measures on one screen. Use the dashboard to notice that something is off across the operation. Use this to do the analysis that supports removing, redeploying or buying a vehicle.
Then their figure comes from whatever else you record: completed trips, work orders, fuel transactions, driver assignments. That is coarser. It can establish that a vehicle worked on a given day but not for how many hours or how far. In practice the untracked assets are usually trailers, plant and yard equipment, which is exactly where idle time hides. An approximate figure is workable. Having none at all is what produces the eleven-month spare.
KO Fleetz can show what your historical workload actually required, class by class and day by day, peaks included. That is the honest half of the answer. It cannot price the risk of being one vehicle short during your busiest week, or know that a key customer walks if a delivery is missed. Those judgements stay with you. What changes is that you make them against your own demand curve instead of against the fleet size you inherited.
Utilisation measures assets, not people, and it is worth saying so before rollout. The figures that matter here — days used, idle days, capacity carried — are properties of a vehicle and a schedule. Where a low number has a human cause, it is nearly always a planning cause: work concentrated on whichever vehicles are parked nearest the gate. Fleets that introduce this as a question about how work is allocated get better cooperation than the ones that introduce it as a league table.
Find your underused vehicles
Give us three months of trip and tracking data. We will rank your fleet by how much work each asset genuinely did, and what the quiet ones cost.