This case study showcases how ToDoIT automated financial tracking for a client buried in transaction emails — by building *Transaction Reader*, a Python-based app that integrates seamlessly with Gmail.
The result? Automated extraction of key data (amount, merchant, date) into a unified dashboard — saving time, improving accuracy, and eliminating chaos.
A busy professional flooded daily with transaction emails from banks, payment apps, and online shopping.
"I receive dozens of transaction emails every day. Manually tracking and categorizing them is time-consuming and error-prone."
Frustrated by manual data entry, scattered records, and missed transactions, they wanted a smarter way to manage their finances.
Manual Data Entry
Emails Across Multiple Accounts
Missed Transactions in Clutter
Time-Intensive Categorization
Error-Prone Records
ToDoIT designed a Python application that automates transaction tracking by integrating directly with Gmail.
Secure authentication and access to the user's Gmail account using OAuth 2.0.
Smart parsing algorithms extract amount, date, merchant, and transaction type from emails.
A clean, centralized view of all transactions with filter and sort capabilities.
Built in Python with Gmail API, OAuth 2.0, and custom parsing algorithms.
Metric | Outcome |
---|---|
Time Saved | 85% reduction |
Accuracy | 90% automated detection |
Throughput | 500+ emails in 2 minutes |
User Satisfaction | Manual tracking eliminated |
“Transaction Reader transformed my financial management. What used to take me hours every week now happens automatically. I never miss a transaction, and I can see my spending patterns instantly.”
- Client Testimonial
ToDoIT proves that smart automation solves real-world problems — saving time, improving accuracy, and giving users complete visibility of their finances.
It's not just an app — it's peace of mind delivered through Python + Gmail intelligence.