Large private sector bank automates customer swipe-in process with RPA, achieving 80% cost savings

The bank was managing customer swipe-in (branch entry/attendance) processes manually, resulting in high operational costs and inefficiencies. The repetitive, rule-based nature of the process made it a strong candidate for automation but had not yet been addressed with modern tooling.

Datamatics deployed its TruBot RPA platform to automate the customer swipe-in process end-to-end. The bots handle the repetitive data entry and tracking tasks that were previously performed by human staff, integrating with the bank's existing systems.

The automation delivered 80% cost savings on the swipe-in process. Processing accuracy and speed improved significantly, and staff previously assigned to this task were freed for higher-value work.

• RPA is highly effective for repetitive, rule-based banking back-office processes, delivering substantial cost reductions quickly.
• Even non-customer-facing processes like branch entry tracking can yield significant ROI when automated.
• Vendor-provided RPA platforms like TruBot can integrate with legacy banking infrastructure without full system overhauls.