Fleet Analytics Software That Answers the Question You Actually Asked
Most fleets own more data than they use and trust less of it than they need. KO Fleetz builds its analytics on records the modules capture as the work happens, so any number on a chart opens into the work order, the fuel event or the trip that produced it.
Reporting is a Monday morning and somebody's spreadsheet
It begins with four exports: the tracking platform, the workshop system, the fuel card portal and a personnel list. Someone joins them on registration numbers with a lookup formula, accepts that eleven rows will not match, and produces a workbook by Tuesday. The workbook is good. It is also one person's, saved on one laptop, rebuilt weekly by hand, and describing a week that has already finished.
The deeper failure is that the numbers disagree with each other, and everybody can tell. Distance from the odometer does not match distance from the tracker. Downtime means whatever the person building the tab decided it means. Two people produce two defensible figures for cost per kilometre and neither is wrong, because neither stated the denominator. So the review meeting is spent arbitrating the data rather than discussing the fleet, and that happens every month until somebody stops bringing figures at all.
Benchmarks then make it worse. Somebody quotes an industry average from a survey with no published method, no fleet mix and no definition of what it divided by what, and within a fortnight it is a target on a slide. Comparing your cost per kilometre against a number whose working you cannot inspect is not benchmarking. It is a decision made on somebody else's arithmetic about somebody else's vehicles.
Definitions first, dashboards second
Analytics in KO Fleetz is downstream of capture, and that ordering is the whole argument. Because a work order posts its own parts and labour, a fuel event carries its own litres, distance arrives from a device rather than a photograph of a dial, and downtime starts the moment a vehicle is taken out of service — the KPI is a consequence of the record instead of a reconstruction of it. Nothing is joined on a registration number typed at a pump.
Every metric therefore states its own working. What it counts, what it divides by, which vehicles it included, which period, which rule was used for the awkward cases. Change the definition and KO Fleetz recalculates and says so, rather than silently producing a different answer to the same question. Any figure opens into the rows beneath it, which is why the numbers on the dashboard never need reconciling against the modules that produced them.
Two refusals worth stating outright. We do not ship an industry benchmark set, because we cannot show you the method behind figures we did not collect, and a target you cannot audit is worse than no target. And no dashboard creates data. If your maintenance is not on the platform, the maintenance measures are empty and stay empty; the module reports the gap as a gap instead of rendering a confident tile out of four records and a hope.
Capabilities
What KO Fleetz Fleet Analytics Software does
Metrics with their working shown
Every measure carries its numerator, denominator, inclusion rule and period on the face of it, so two people reading the same figure are reading the same figure.
Drill-through to the source row
A cost band in KO Fleetz opens into the work orders and fuel events behind it, a late delivery into the trip. Analysis is a way into the records, not a layer painted over them.
Coverage stated honestly
KO Fleetz reports which vehicles carry device-grade data and which run on manual entry, so nobody compares a measured figure against an inferred one unaware.
Peer groups instead of fleet averages
Assets are compared inside their own class and duty cycle, because an average across a reefer, a tipper and a service van is arithmetic that means nothing to anyone.
Each asset against its own history
Slow drift is the signal that matters most and the one a monthly comparison hides, so every vehicle carries its own trend line as well as its position in a ranking.
Cost, use and availability on one asset
The three questions fleets normally answer from three systems resolve against the same vehicle record, which is what makes a replace-or-keep argument settleable.
Delivery to whoever owns the number
A depot manager gets their depot's exceptions on a schedule they agreed to, rather than a fleet-wide pack in which their four problem vehicles are three pages in.
Your warehouse, your tools
Clean, defined data exports to the BI stack you already run, so the fleet stops being the one part of the business whose numbers live outside the reporting estate.
How it works
How KO Fleetz does it
Step 1: Agree the handful that govern
Pick the five or six measures decisions get made on, and write down what each means. The conversation is unglamorous and it is where fleet reporting is won or lost.
Step 2: Let the modules feed them
In KO Fleetz, costs, distances, downtime, fuel and delivery outcomes arrive from the work as recorded. Nothing is exported, joined or retyped, so the figures cannot drift apart.
Step 3: Set tolerances, not targets
Each measure gets a band suited to that class of vehicle and that kind of work. The band turns a chart into a question, and it is yours to argue with, not ours.
Step 4: Put the exception in front of an owner
Assets outside tolerance are named, ranked and routed to whoever can act. A finding that reaches nobody in particular gets discussed once and then left alone.
Step 5: Review the definition, not just the number
When a measure stops driving decisions, the fix is usually the rule, not the chart. Definitions are versioned, so a step change traces to the day one changed.
Outcomes
What changes
- Every measure states what it divided by what
- Defined
- A chart opens into the rows that made it
- Drillable
- Data you do not have is shown as missing
- Honest gaps
- Each exception reaches someone who can act
- Owned
Explore in detail
Every fleet analytics software capability
Each of these is a capability page in its own right, with the workflow, the limits and the awkward questions answered.
What this module connects to
Telematics hardware supplies the distance, engine hours and position that most fleet measures ultimately divide by, and using tracked distance rather than a keyed odometer reading is the single biggest quality decision in fleet reporting. Fuel card providers and depot pump systems post the litres and the spend. Workshop management platforms, parts suppliers and third-party garages contribute job cost and time out of service. ERP and finance systems supply budgets, cost centres and the purchase and disposal values that depreciation depends on, and take the operational picture back in return. Human resources platforms carry the driver and wage data that a cost-per-trip figure is incomplete without. And business intelligence and data warehouse tools are treated as a first-class destination rather than an afterthought, because plenty of fleets already have an analytics stack and want fleet data inside it rather than beside it.
Explore integrationsFrequently asked questions
Not as a product, and the reason is that we would have to invent them. A credible benchmark needs a published method, a stated fleet mix, a defined denominator and a sample you can interrogate. Most of the figures circulating in this market have none of that, and pasting one onto your dashboard would make it look authoritative while making it useless. KO Fleetz offers comparison you can audit instead: your assets against their peers in your fleet, and each asset against its own history.
It is not, and yes. There is no report designer, no semantic modelling layer and no ambition to become one, because competing with a mature analytics stack is a fight worth losing. What KO Fleetz owns is the definition and the capture: metrics that mean something specific, computed from records created as the work happened. If your business already runs a warehouse and a visualisation tool, the honest use of this module is often as the defined, clean feed into them rather than as another dashboard nobody opens.
Fewer than you are currently being sent. Cost per kilometre by vehicle, utilisation against a definition of available you have written down, unplanned downtime, fuel consumption within a peer group, and on-time performance will carry most operations, though a rental business and a municipal fleet will weight those very differently. The measure that matters is the one someone will act on. A KPI with no owner and no tolerance is decoration, and a screen full of decoration is why nobody reads the pack.
The dashboard is one surface inside KO Fleetz — the screen a manager opens to see what is outside tolerance this morning. The module is broader: the definitions behind those measures, the cost model underneath cost per kilometre, the utilisation analysis that supports removing a vehicle, the scheduled distribution, the exports. If you want the daily view, that is the dashboard. If you want to settle an argument about what a vehicle costs or how many you need, that work happens in the module around it.
It varies by measure and we would rather say so than quote a single number. Fuel and toll data are dated transactions and become useful almost immediately. Utilisation needs enough weeks to see your work pattern, including a peak. Maintenance comparison needs both vehicles to have been through a service cycle, or the one that has not yet simply looks cheap. Expect roughly a quarter before per-vehicle comparisons hold, and a full year before seasonality stops bending trend lines out of shape.
Across the platform, AI is doing real work — camera intelligence, conversational insights and route optimisation all use it directly. For breakdown and cost prediction specifically, we are deliberately precise about what it does: it detects drift and flags divergence in your own data — a vehicle climbing against its own consumption baseline, a component whose failures cluster by model and age, a route whose duration has crept — and surfaces those patterns early enough to act on. A forecast built on your history is a well-founded hypothesis worth acting on, not a certainty, and we present it as one. That honesty is exactly what keeps the analysis trusted by the workshop manager who has to act on it.
Bring the spreadsheet you rebuild every Monday
Show us the workbook and the exports behind it. We will show you which of its numbers KO Fleetz computes at source, and which ones your data cannot honestly support yet.