Enhancing Business Efficiency through UiPath-Driven Robotic Process Automation for Invoice Data Handling
DOI:
https://doi.org/10.64882/ijrt.v14.i2.1433Keywords:
Robotic Process Automation (RPA), UiPath Studio, Invoice Automation, Process Definition Document (PDD), Business Efficiency, Digital TransformationAbstract
Invoice processing is a critical yet labor-intensive task in business operations across all sectors. Manual execution of this process is time-consuming, error-prone, and difficult to scale as transaction volumes grow. This paper presents the design, development, and performance evaluation of a Robotic Process Automation (RPA) solution built using UiPath Studio to automate invoice generation from structured Microsoft Excel data through the online platform invoice-generator.com. The automation workflow comprises fourteen sequential activities, including Read Range, Open Browser, For Each Row in Data Table, eight Type Into activities, two Click activities, and robust exception handling via Try/Catch blocks. The solution was tested against a manual baseline using a dataset of ten real-format invoice records across five repeated runs. Results demonstrate an 83.7% reduction in per-invoice processing time (from 4 minutes 28 seconds to 43 seconds) and a 6.7 percentage-point improvement in field-level data accuracy (from 91.8% to 98.5%). Scalability testing confirms near-constant throughput of approximately 82-84 invoices per hour from 10 to 5,000 records. The automation also achieves full 24/7 operational availability via UiPath Orchestrator scheduling. These findings validate the efficacy of UiPath-driven RPA for invoice processing and contribute a fully reproducible, documented case study to the RPA literature.
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