Home How Scania Achieved 80% Reduced Transaction Time in Invoice Processing

How Scania Achieved 80% Reduced Transaction Time in Invoice Processing

by sol-admin

Scania is a world-leading provider of transport solutions committed to a better tomorrow. Employing more than 50,000 people in about 100 countries, the company’s mission is to drive the shift towards a sustainable transport system, creating a world of mobility that is better for business, society, and the environment.


The Scania brand of trucks and buses is recognized not only for its quality but also for innovation. In any company, you have manual processes and many of those are possibilities to automate. That’s why RPA become a core part of IT strategy at Scania, and its finance division began to build automation into all parts of its operations where it makes sense.

Vendor Selection

Roboyo introduced us to UiPath. This early project showed me that UiPath’s technology was excellent at enabling the reuse of automation, which is a major benefit for Scania. We have many processes that are similar in different systems, and I don’t want to build the same logic stack 100 separate times. In addition, UiPath is incredibly flexible, allowing us to smoothly integrate components written in other languages, such as C♯, which is very impressive”.

Jesper Blomster, Head of Digitalization and Information Management within Finance & Business Control, Scania

Solution Example

One of the first automations into production was invoice processing. Previously, an employee within a Scania finance department created an Excel file with all the invoice details and sent this file to the company’s shared service center in Bangalore. There are many finance departments spread across the globe, each producing its own variety of Excel files. A team within the shared service center would then manually reenter all the information from all the Excel files into an Oracle system.

However, the Excel file contained no business rules and validation, and the data wasn’t validated as it passed between systems. Moreover, there was no way of knowing if the information was correct or where any problems had arisen. Everything had to be checked and validated manually.

Working with an UiPath partner Roboyo, Jesper and his team created automation within two weeks that took data from the different Excel documents applied a series of the business rules to it, and then entered it automatically into the Oracle system. The robot provides the high-level validation of all the data is accurate and properly entered. What previously took a person five minutes per transaction is now completed in under a minute. But time-saving is secondary to the improvement in the quality of data flowing into the company’s business systems.

Automation by Numbers

  • 12 processes developed within short timeframe and extensive backlog created;
  • 80% reduced transaction time in invoice processing;
  • 2-4 weeks from design to production for new automations.

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