Founder experience, not a Qynzoo project. Our founder Mostafa did this work as an employee of Odido, before he started Qynzoo. The system belongs to that employer. We show it because this experience is directly relevant to the services we offer. We do not sell this system. We bring a similar idea, and every solution we build is designed and made from scratch for your business.
Mostafa automated the weekly retail performance reports for stores across the Netherlands, replacing manual, error-prone work with a process that runs on schedule every time.
Result: reports that took days of manual work now arrive automatically every Monday morning.
FOUNDER EXPERIENCE · RETAIL REPORTING
Weekly reports that build themselves
EVERY MONDAY
DATA SOURCES
COLLECT + PREPARE
REPORT
DELIVERED
DBStore data
DBSales data
+Other sources
python · sql
collect
prepare
No manual steps
Power BI · ThoughtSpot
Mon 09:14In the inbox
BEFORE
Built by hand, days of work per report
NOW
Every Monday morning, the same every time
Animation: store data, sales data and other sources are collected and prepared automatically with Python and SQL, turned into a report in Power BI and ThoughtSpot, and delivered to the inbox every Monday morning.
FOUNDER EXPERIENCE · RETAIL REPORTING
Weekly reports that build themselves
EVERY MONDAY
DATA SOURCES
DBStore data
DBSales data
+Other sources
COLLECT + PREPARE
python · sql
collect
prepare
No manual steps
REPORT
Power BI · ThoughtSpot
Mon 09:14In the inbox
BEFORE
Built by hand, days of work per report
NOW
Every Monday morning, the same every time
Animation: store data, sales data and other sources are collected and prepared automatically with Python and SQL, turned into a report in Power BI and ThoughtSpot, and delivered to the inbox every Monday morning.
The Problem
A retail network with stores across the Netherlands relies on detailed weekly reports pulled from several data sources. Many of these reports were built by hand every week and took days to deliver. Manual work also meant errors and delays whenever something went wrong.
The Approach
Mostafa automated the full reporting process: Python and SQL collect and prepare the data, and Power BI and ThoughtSpot present and deliver the reports. No manual steps remain between pulling the data and sending the final report.
PythonSQLPowerBIThoughtSpot
Results
All reports now arrive every Monday morning, with the same output every time. The team gets days of work back each week for actual strategy work instead of repeated tasks, and the manual-entry errors are gone.