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We took the standard R-Keeper report package and they tailored it to us on top of that. It all just works.
Solutions
Business analytics for transport and logistics companies
Turnover tells a haulier very little until you can see which route earns and which merely drives. These reports show profitability at the level of the trip, the vehicle, the driver and the customer.
Accounting vs analytics
Accounting
In a haulage business the accounts tell you what was earned in total. They do not tell you which trip earned and which merely drove — that needs revenue from invoices, fuel from card statements, driver hours and vehicle depreciation brought together into a single number.
Revenue from invoicesFuel from fuel-card statementsDriver hoursVehicle depreciation = a single number?
Business analytics
That is exactly what an analytics system does: it takes data from Rivilė or Finvalda and from the transport management system, joins it, and recalculates every night. The result is automated reports where trip profitability is visible the same week rather than a quarter later.
Rivilė / FinvaldaTransport management system
Joined up overnight Trip profitability within the same week The figures worth watching
Profitability by trip and route
Revenue less fuel, driver hours, tolls and depreciation, trip by trip. It usually turns out that a few regular routes are running at break-even.
Fuel cost per kilometre
By tractor unit and by driver. A persistent gap from the average is either a mechanical problem, a driving problem, or something else entirely.
Share of empty running
Kilometres without a load are a straight loss. Broken down by route, this shows where a backhaul is worth chasing.
Tractor and trailer utilisation
How many days a month the equipment actually works. Downtime is expensive even when no report shows it.
Customer profitability
The biggest customer often carries the thinnest margin, because they negotiated the best price. Margin by customer shows it immediately.
Payment terms
Credit terms in transport are long, so the cash cycle is long. Overdue debt by customer is a daily figure, not a quarterly one.
How it looks in the report
How to read the report
01
KPI cards
On the left are the figures a manager looks at first: average trip profitability, fuel cost per kilometre, share of empty running, and overdue debt. Each shows the movement since last month, so the direction of travel needs no working out.
02
Route views
On the right are the views that explain why the number is what it is. Profitability by route shows immediately which lanes are running at break-even; empty running by route shows where a backhaul is missing; fuel cost by vehicle shows which units are drifting from the average.
03
Customers and debt
The last block puts customer profitability and overdue debt side by side. It is often the least comfortable view in the report: the biggest customer frequently carries the thinnest margin and the longest payment terms.
Where the data comes from
- the accounting system (Rivilė, Finvalda or another)
- the transport management system (trips, loads, mileage)
- fuel-card statements
- GPS or telematics data, where it is used
Read access The connection is read-only — the reports read your data, change nothing, and never write back to your systems.
What people usually notice first
- 1 The usual finding in the first month is a handful of regular routes that look healthy on turnover and are loss-making on margin. In the combined figures they disappear among the profitable trips.
- 2 The second is the gap in fuel consumption between comparable drivers. Once it is there in a table it becomes a conversation rather than a hunch.
Analitika360 client stories
Data that helps you decide
See how companies like yours put Analitika360 reports to work in Power BI.
Where to start
Most people start with a ready-built report set, which connects to your accounting system within a few days, and add the industry-specific reports as a second stage. Describe your situation and we will tell you what would work best in your case.