In haulage, profit is measured per trip rather than per month. How to build scheduling that works, why a signed delivery note is the key asset, and what a trip really costs.
Key takeaways
- Cost per trip, not cost per month, is the only basis on which you can price.
- A signed delivery note that does not arrive the same day is worth half.
- Scheduling by area rather than by order sequence is the big saving in fuel and time.
- Planned maintenance is cheaper than downtime, and the difference is measurable.
- Waiting time at unloading is the largest hidden cost in the sector.
In haulage, two questions decide everything: what the trip cost, and whether there is proof it happened. At most small businesses in the sector there is no precise answer to either - so pricing rests on instinct, and payment rests on argument.
Cost per trip: how it is built
| The element | How it is measured | Note |
|---|---|---|
| Fuel | Actual kilometres | Not a monthly average |
| Driver pay | Hours including waiting | Waiting is what gets forgotten |
| Maintenance | Annual cost divided by km | Including tyres |
| Insurance and licensing | Annual divided by trips | Fixed, but has to be landed |
| Depreciation | By policy | Refer to the accountant |
| Tolls and parking | Per trip | Small and cumulative |
The second row is the big gap. A driver waiting an hour at unloading costs the same as a driver driving for an hour, and that trip was priced on distance alone. A business measuring waiting time per customer discovers within a month that some customers are not profitable at all.
The delivery note: the most important asset
This is the only document in the whole operation that other people rely on as evidence, which is why it deserves more attention than its size suggests.
Every argument about "we never received it" is either resolved or stuck at the delivery note. Three things make it useful: a signature with a full printed name rather than a mark, a date and time, and exceptions noted - a missing item, damaged packaging, a refusal to accept.
The problem is not that nobody signs but that the note stays in the vehicle. When it reaches the office at the end of the week, it is unavailable exactly when a customer calls on Tuesday. A phone photo at the end of the drop, sent to one place, solves it with no system.
What adds the most value is photographing the exception too. "Received with damaged packaging" recorded in real time saves the whole argument; the same sentence a week later is worth little.
Scheduling: area before sequence
This is the one change that pays back on the first day it is applied, and it needs no tool at all.
The natural way to schedule is by the order in which jobs came in, and that produces routes crossing the city twice. Scheduling by area, even done by hand, shortens the route and increases deliveries per day.
What this needs is not optimisation software but two data points: an area per delivery, and a time window where one exists. With those two you can group manually and capture most of the saving.
What makes it hard in practice is promises: a customer promised a specific hour dictates the route. So the important decision is not technical - it is which deliveries get a narrow window and which get a wide one, and that is a commercial decision.
Maintenance: planned against downtime
A vehicle out of service on a busy day costs several times the service that would have prevented it - not because of the repair but because of the deliveries not made and the customers who were promised.
What is needed is a simple schedule: per vehicle, the next service by mileage, the licence renewal date, and any required inspections. One early reminder per row turns it into a scheduled action on quiet days.
What is worth adding is a short fault log: what happened, on which vehicle, and when. After six months that log shows which vehicle genuinely costs more than the others, and that is the figure needed for a replacement decision - a decision made entirely differently with data.
What to check every week
- Deliveries per driver per day.
- Average waiting time, by customer.
- The share of deliveries whose note arrived the same day.
- Fuel consumption per kilometre, by vehicle.
The third measure predicts arguments. When most notes arrive the same day, questions are answered immediately; when the share is low, every customer enquiry becomes a search - and some of them end in a credit given to close the subject.
Drivers: what decides whether the data arrives
Everything described so far rests on data the driver enters: arrival time, departure time, a photographed note, an exception. If entry is cumbersome it will not happen - and then there is no measurement and no proof.
The practical rule is that each of those actions has to be one tap or one photo, from a phone, with no login. Three simple actions per delivery is the maximum that holds over time; four already get dropped on a busy day, and that is exactly the day the data matters most.
There is a second side: what is measured has to be explained. A driver who knows waiting time is measured in order to price customers enters it; a driver who suspects they are being measured does not. That explanation is part of the rollout rather than decoration.
Why is waiting time the hidden cost?
Because it appears nowhere. The trip was priced on distance, the fuel is measured by distance, and the driver is paid by the hour or by the day - so an hour lost at unloading is absorbed into general cost and never attributed to the customer who caused it.
Measuring it is simple: arrival time and departure time, two taps on a phone. After a month you have a list of customers by average waiting time, and that list is nearly always a surprise.
What you do with it is a commercial decision - price differently, change the time window, or have a conversation with the customer. What is clear is that without the number there is no conversation, because there is nothing to base it on.
Sources
Frequently asked questions
Do you need fleet management software?
Above about five vehicles it usually pays for itself, mainly in maintenance and fuel. Below that, a maintenance schedule and a delivery log in a spreadsheet cover most of the value.
What do you do when a customer refuses to sign?
Record the refusal with a time and details, and photograph the state of the shipment. A documented refusal is a clear state; a delivery with no signature and no record is exactly the case that ends in an argument.
Is real-time vehicle tracking worth it?
It mainly helps with answering customers and with rescheduling during the day. When the goal is cost, the more important measurement is waiting time and deliveries per day - and both can be measured without tracking.
How do you price a one-off trip?
By the same elements in the table, not by distance alone. A one-off trip usually includes an empty leg in one direction, and that element is almost always omitted, producing trips that are not profitable.
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About the author
Yehonatan Saadia
Freelance automation, web & MVP developer
I'm Yehonatan Saadia, a senior developer who builds business automation, custom websites, and MVPs for small and mid-sized companies across the US, Europe, and Israel. These guides come from real client work, not theory.
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