Improve On-Time Delivery by Finding Where the Day Breaks
A delivery is rarely made late on the road. It is made late by a plan that assumed twenty minutes for a stop that takes fifty, a first drop that started forty minutes behind, and an exception nobody saw until the customer rang to report it. The lateness surfaces at the door. It was decided long before, which is why KO Fleetz watches the plan come apart hours upstream, while the day can still be saved.
Fleet and logistics operators run KO Fleetz in production
The cost of arriving after you said you would
The obvious cost is the penalty, and for anyone delivering into grocery or automotive it is real: a service-level regime that charges for late and incomplete, assessed by the customer, on their measurement, with a dispute process that favours whoever has the data. What makes it expensive is that the charge is levied against the value of the goods rather than the value of the freight, so a modest haulage rate can attract a deduction of an entirely different order.
The second cost is the one that repeats. A missed slot at a booked dock is not delivered later that day. It is delivered when the next slot exists, which means the vehicle carries the freight back, the load is stored, and the drop is re-planned into a route that had no room for it. One failed attempt has now consumed two trips — the compounding KO Fleetz is meant to catch before the vehicle ever turns back. If you want the size of that, the cost per trip calculator will build it from your own inputs rather than from an assumption we made up.
The third cost is invisible and structural. Once a fleet knows it cannot rely on its own arrival times, it buys insurance in the form of slack: earlier departures, wider windows, a vehicle held back in case, second runs never planned because the first might overrun. That slack is capacity, and it is paid for every single day, including the overwhelming majority of days when nothing goes wrong.
The ETA that was true when somebody said it
The manual process is not absent, it is just retrospective. A report at the end of the week counts how many drops made their window, and the figure is discussed by people who cannot change any of the decisions that produced it. Meanwhile the actual mechanism runs on telephones: a customer calls to ask where a vehicle is, somebody calls the driver, the driver estimates, and that estimate is passed on as though it were information. It was a guess made by a man who is currently driving — the guess KO Fleetz replaces with an ETA rebuilt from live position and measured dwell.
The deeper failure is in the plan. Route plans are built from service times that were plausible when somebody typed them in and have never been tested against what stops actually take. If a delivery point reliably needs fifty minutes and the plan allocates twenty, the fourth drop of the day is late before the vehicle leaves the yard. That is not an execution failure and no amount of pushing the driver will fix it, but it will be recorded as one, because the plan is assumed to be correct and reality is assumed to be the variance.
- Service times in the planning system are estimates nobody has revisited, so the schedule is built on fiction and the drivers are blamed for the difference.
- An ETA relayed by phone is a driver's guess repeated by a planner with more confidence than the original deserved.
- Lateness is detected when the customer notices, which is the last possible moment and the only one where you have no options left.
- The first stop of the day sets everything after it, and almost nobody watches the first stop, because at 07:30 nothing has gone wrong yet.
- Root cause is never recorded, so a dock that eats ninety minutes every Tuesday and a driver who left late look identical in the report.
- Weekly reporting counts failures without locating them, which produces a target for the depot and no instruction for anybody in it.
How KO Fleetz resolves this
The KO Fleetz modules that fix it
Improve On-Time Delivery is not one feature — it is a few KO Fleetz modules working off the same records. These are the ones that carry it.
The workflow
Watch the plan against reality while the day is still running
Step 1: Build the plan from measured service times
Each stop's allocation comes from what it has historically taken at that site, at that hour, with that vehicle. A schedule built on real dwell is one the day can survive.
Step 2: Track progress against the promise, not the map
The vehicle's position is compared against where the plan said it would be. What matters is not that the truck is moving, it is that the truck is eleven minutes behind on drop two with six to go.
Step 3: Recalculate the ETA from what is happening
KO Fleetz updates arrival times from live position, current progress and the real dwell that site will need, so the number given to a customer is derived rather than volunteered.
Step 4: Escalate while there are still options
Slippage that threatens a booked window raises an alert with enough runway to reallocate, warn the consignee or resequence. An alert at the door is a notification of failure.
Step 5: Record the reason and feed it back
Every late arrival is closed with a cause: dock wait, loading overrun, traffic, plan error, defect. Those causes are what turn the report from a scoreboard into a list of things to fix.
What you use
The capabilities that do the work
Drawn from across the platform — this problem is not solved by one module.
Dynamic ETA from live progress
KO Fleetz rebuilds arrival estimates continuously from position, remaining sequence and each site's real dwell, instead of counting down from a departure-time assumption.
Service times from history
Stop durations are derived from what that consignee has actually taken, so the plan stops allocating twenty minutes to a site that has never once managed it.
Slippage alerts with runway
Drift against the plan is flagged when there is still time to act on it, targeted at the trips that threaten a window rather than every vehicle running a few minutes late.
Appointment window tracking
Booked slots are held against each stop, so on-time is measured against the commitment you made rather than against a date on the order.
Arrival proof from position
Arrival and departure are timestamped from the vehicle, which settles the disagreements where the customer's system says late and yours says early.
Lateness cause coding
KO Fleetz closes each miss with a reason, turning on-time performance from a percentage into a ranked list of docks, lanes and plan errors with owners attached.
Live reallocation
When a vehicle cannot recover, the load moves on a board that already knows which other vehicles are near, free and legal on hours to take it.
Roadworthiness before departure
Defects found at the walk-round reach the workshop queue early enough to matter, because the most reliable way to miss a window is to leave the yard in something broken.
In the product
What this looks like in KO Fleetz
What changes
The difference it makes
- The break shows hours before the customer calls
- Upstream
- Arrival is rebuilt from position, not volunteered
- Derived ETA
- Slippage alerts while a load can still be moved
- Runway left
- Each late arrival closes with a coded cause
- Reason attached
How you will know it worked
Measure these
We publish no savings figure for your fleet, because we have not measured your fleet. These are the metrics that will move if this works.
| Metric | How to measure it |
|---|---|
| On-time arrival against the booked window | Arrivals inside the committed slot, timestamped from the vehicle, over total drops. Measure against the appointment rather than the order date, and publish the definition — most disputes about on-time performance are disputes about the denominator. |
| First-stop punctuality | The share of routes where drop one made its window. Track it on its own. It is the strongest predictor of how the rest of the day goes, and it is the one failure with the most recovery time still available. |
| ETA error at one hour out | The difference between the estimate issued sixty minutes before arrival and the actual arrival. This measures the promise rather than the outcome, and it is what determines whether anybody downstream can plan around you. |
| Plan-versus-actual dwell per site | Allocated stop time against measured stop time, by consignee. A site with a persistent gap is a planning defect, not a driver problem, and this is the number that proves which. |
| Failed first attempts | Deliveries requiring a second visit, with the cause coded. Separate the ones you caused from the ones the consignee caused; the two have completely different fixes and averaging them hides both. |
| Cause distribution on late arrivals | Late drops grouped by recorded reason. The point is not the total. It is that the top cause is usually one dock, one lane or one systematically wrong service time, and it stays invisible in an aggregate. |
Put a number on it before you talk to anyone
The cost per trip calculator is free, shows its formula, and asks nothing of you. Work out your own figure, then bring it to a demo.
Customer evidence
Fleets using KO Fleetz to do this
Customer story pending. A short, attributed quote from a fleet that used KO Fleetz for improve on-time delivery belongs here — the result, in their words.
Frequently asked questions
Software does not drive. What KO Fleetz changes is when you find out, and what you know when you do. A delivery that will miss its window at 14:00 is usually determinable by 10:30, and the difference between those two moments is the difference between reallocating a load and apologising for one. It also removes a specific class of failure entirely: the drop that was never going to make it because the plan allocated it half the time it needed. That one is arithmetic, and arithmetic is fixable.
Detention is one input to lateness and this page is about the whole chain. Reducing detention targets the wait at a dock, its cost and its cause. This solution asks why the promise failed, and the answer is often something else entirely: a wrong service time, a late start, an unplanned defect, a sequence that never had slack. Fleets that fix detention and still miss windows are the reason these are separate pages. If your causes are concentrated at customer docks, start with the detention work and come back.
Usually whoever has the timestamped record, which is why arrival proof from position matters more than the argument. Two things typically explain the gap. The first is measurement point: their clock may start when the vehicle books in at the gate office, yours when the wheels crossed the boundary, and those can differ by an hour on a busy yard. The second is the window definition itself. Neither is settled by opinion, and having a defensible record turns it into a conversation about the contract rather than about memory.
Accurate enough to act on, and less accurate than a demo would suggest. The road portion is the easy part. The uncertainty is almost entirely in dwell — how long a site takes today, whether the dock is queued, whether the paperwork is right. That is why service times come from that site's own history rather than from a default, and why the estimate tightens as the vehicle gets closer. An ETA twelve hours out is a planning input. An ETA one hour out is a promise. We do not recommend publishing the first to a customer as though it were the second.
It helps by proving it, which is often the only thing that has ever moved a warehouse. A loading operation that reliably releases vehicles ninety minutes after the planned departure is the single most common cause of a day that never recovers, and it is almost never recorded as the cause, because the failure is observed at the customer's door six hours later. Cause coding and gate-to-gate timing at your own yard, both of which KO Fleetz records automatically, put the delay where it started. What happens next is not a software question.
Some will, initially, and the framing determines the outcome. A tool that produces a league table of who is late is surveillance and will be treated as such. A tool that demonstrates a driver was allocated twenty minutes for a fifty-minute stop is the first thing that has ever taken his side in that argument. Most lateness, once cause-coded honestly, turns out not to be the driver. Fleets that publish that finding get cooperation. Fleets that only publish the scoreboard get gaming.
Find out where your day actually breaks
Give us a week of routes and the windows you committed to. KO Fleetz will pinpoint which stops were unwinnable before the vehicle left the yard.