Bank Account Credit Processing
Boosting accuracy and efficiency with RPA automation
Key Solution: Robotic Process Automation (RPA)
Challenge
Finance teams face multiple issues with manual bank account credit processing:
1.Manual data filtering: Sorting incoming and outgoing data from multiple online banks, followed by manual data entry into the SAP system.
2.Labor-intensive, low-value tasks: Repetitive, fixed-rule operations lead to high labor costs with minimal added value.
3.Time-consuming and error-prone: Sorting and entry are manually intensive, creating an increased error rate and risk of delays.
4.Inefficient timeliness: Manual processing fails to ensure completion on time, limiting the responsiveness of the finance team.
Solution – Automation Workflow:
Before Implementation:
- Manual data sorting for 97 departments and 288 accounts.
- Time-consuming, labour-intensive entry processes.
- Increased error rates and missed deadlines due to fatigue.
After Implementation:
- Automated data entry based on predefined rules, ensuring zero business errors.
- Unified accounting templates and standardised vouchers across 90+ companies.
- Saves an average of 26 man-days monthly.
- Automatically produces approximately 100,000 vouchers annually.
Impact
100% Accuracy
USD 23K Estimated Annual Savings
383 cases Average Daily Processing
100% Success Rate*
*Success rate: Business personnel are required to fill in the abstract according to the rules to ensure accurate judgment of digital employees.
