Here’s what their old process looked like:

• Fuel data buried inside GPS provider’s portal.
• Reports had to be manually searched, downloaded, and interpreted.
• Results compiled manually and sent to finance controller and management.

The result?
Wasted hours on repetitive manual tasks, increased risk of human error, and too little time left for meaningful data analysis or strategic work.

Our mission?

• To automate manual work.
• Deliver real-time insights that drive smarter decisions.
• Free up the team to focus on what really matters.

Here’s the 4-step breakdown of our solution:

• Step 1: Scheduled fuel reports
  We configured the GPS tracking platform to automatically send regular reports straight to the client’s mailbox – no more manual logins or downloads.
• Step 2: Mailbox automation with Python
  A custom Python script monitors the mailbox, extracts the reports, and saves them into structured folders – ready for Power BI to process.
• Step 3: Power BI dashboard
  Power BI connects to these folders, automatically cleans the data, and visualizes it in a clear, actionable format.
• Step 4: Seamless publishing
  The final dashboard is published to SharePoint, giving finance and management real-time access to up-to-date insights.

The transformation delivered clear and measurable outcomes:

• 100% reduction in manual reporting time
• 100% data accuracy – no more human errors
• Faster decision-making thanks to real-time dashboards
• Finance and management teams now access insights in seconds, not hours

And most importantly:
The entire process runs automatically, month after month, without user intervention.

This is how automation and smart analytics free up time and drive better business decisions.