Fuel data extraction

Fuel data extraction

Saves hours with automatic data extraction from fuel statements

Clean and complete fuel purchase data is a critical input for many transport and industrial business admin and management tasks, yet collecting and preparing it often takes staff many hours of tedious manual work. Nuonic's fuel data reader can cut a lot of that out, read on to find out how.

The problem with fuel purchase data

Fuel purchase data usually comes as statements and invoices from fuel suppliers. These can be PDF documents, text-based reports including CSV and TSV format, or other forms. It's not just the format that vary, each supplier has their own way of setting out the data on a page or line, so to get the data out you need to pay close attention to where each item is. Otherwise you might record a fee as a tax item, or a charge against the wrong asset.

Extracting this data manually is obviously immensely time-consuming and the problem only multiplies with more fuel suppliers. When you have multiple fuel cards, bulk deliveries to your sites and ad-hoc purchases all happening at the same time, monthly reconciliation becomes an absolute nightmare, never mind forecasting next month's costs!

How Nuonic solves this

Our Fuel Accounting platform automates the data extraction and standardisation process using a smart data reader feature. You just upload your purchase statement files, whether they are PDF's, XLS, CSV or other formats, and our system reads and save each line item in the data for you. No more copying and pasting, that job is done!

The data is then mapped to a unified data structure, so the items from all your different sources are now each represented in exactly the same way. This makes comparison, exploration and use in other processes much, much easier. Each line item is linked to its original source, so you always know where a particular purchase came from. Each transaction is also analysed to identify the asset it is linked to (if recorded on the source), the type of transaction (purchase, fee, tax etc) and it's key values like data of purchase, amount of fuel, fuel type, paid amount, discounts applied, tax amount and so on.

Sounds simple right? Well, its really not simple behind the scenes. But you already know that if you're doing this by hand already!

If the platform can't extract all the data for any reason (such as it not being a supplier we've seen before or of poor quality), our team will be notified and they'll work on a solution. Either way, we're taking away the data reading work from you, so you can focus on using the data to improve your business.

What this means for you

Your process shifts from hours of tedious copy/pasting just to make the data usable, to reviewing insights and exceptions from the data within minutes of receiving it. This not only saves your time, it significantly reduces the risk of errors and makes it far easier to prepare specific subsets of data for any downstream process.

By using Nuonic’s automated data-reading workflow, you can spend your time and energy where it has the most impact: using the insights from your fuel data to identify and execute actions to improve your business outcomes.

Fuel data extraction
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