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What Fuel Card Analyzer does
A fleet with fuel cards produces a mountain of data every month - each fill-up a row, with date, vehicle, driver, litres and amount. Your card provider’s statement lists all of it dutifully, but as a pure CSV desert from which the naked eye recognises nothing. Anyone who really wants to know which vehicle guzzles and which driver refuels suspiciously often would have to filter in Excel for hours. The analyzer takes that off your plate.
You simply upload the CSV file you export from your provider’s portal. The tool automatically detects the delimiter - whether semicolon, comma or tab - and reads the header row. Because every provider names its columns differently, in one short step you map which column contains date, vehicle, driver, litres and amount. After that the analysis runs by itself.
The result is split into three views. By vehicle you see which car causes the highest fuel costs and the largest consumption - a good hint at thirsty models or upcoming maintenance. By driver you spot irregularities in refuelling behaviour. And the monthly view shows you the trend of your fuel costs over time, so outliers and patterns catch the eye immediately.
German number formats in particular, with a comma as decimal separator and a dot as thousands separator, are processed correctly, so 1,234.56 really becomes the right amount rather than a jumble. Optionally you can capture the fuel type to analyse diesel and petrol separately. Everything is calculated in the browser.
The crucial point: your fuel data does not leave your device. The upload does not land on a server but is parsed and analysed locally in your browser. With internal data like driver and vehicle details that is not a courtesy but data protection. No account, no cloud, no sharing.
For fleet managers and small businesses with a few company cars, the analyzer is a fast way to gain cost control without introducing expensive fleet software. You export the statement, drop it in here and have a solid overview in minutes to take into a conversation with your provider or your team.
Features
Read CSV automatically
The tool detects semicolon, comma or tab as delimiter itself and reads your statement’s header row.
Flexible column mapping
Because every provider names things differently, you map date, vehicle, driver, litres and amount in seconds.
Analysis per vehicle
See which car causes the highest fuel costs - the fastest route to thirsty outliers.
Analysis per driver
Spot irregularities in individual drivers’ refuelling without digging through raw data.
Monthly trend
The monthly view shows trends and outliers in your fuel costs across the year.
Data stays local
The upload is processed only in the browser. Driver and vehicle data never leaves your device.
How it works
- 1
Export the CSV
Download the fuel card statement as CSV from your provider’s portal - Aral, Shell, DKV or another.
- 2
Upload the file
Drop the CSV into the tool. The delimiter and header row are detected automatically.
- 3
Map the columns
Assign date, vehicle, driver, litres and amount to your statement’s columns - once and done.
- 4
View the analysis
Switch between the vehicle, driver and month views and find your biggest cost drivers.
Who needs this
Frequently asked questions
Which fuel cards are supported?
In principle any that offers a CSV export - Aral, Shell, DKV, Total, UTA and others. Because you map the columns yourself, the tool does not rely on a fixed format and copes with different provider exports.
What if the columns have different names?
That is exactly what the column mapping is for. After upload you choose the matching column from your file for each field. This way the analyzer works no matter how your provider names the columns.
Does the tool handle German number formats?
Yes. Amounts with a comma as decimal separator and a dot as thousands separator are read correctly, so 1,234.56 becomes the right value. Plain numbers without formatting are recognised too.
Is my fleet data uploaded?
No. The CSV is parsed and analysed solely in your browser. There is no server upload and no account, your driver and vehicle data stays on your device.
Can I analyse diesel and petrol separately?
Yes, provided your statement contains the fuel type. Map the corresponding column, then you can view the costs broken down by fuel. The field is optional.
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