Robotic Process Automation (RPA) has emerged as a game-changing technology in data extraction, revolutionizing the way organizations process and analyze large volumes of documents such as invoices, purchase orders, and payment advices. This study investigates the use of RPA for structured data extraction and evaluates its advantages over manual processes. By comparing human-performed tasks with those executed by RPA software bots, we assess efficiency and accuracy in data extraction from invoices, focusing on the effectiveness of the RPA system. Through four distinct scenarios involving varying numbers of invoices, we measure efficiency in terms of time and effort required for task completion, as well as accuracy by comparing error rates between manual and RPA processes. Our findings highlight the significant efficiency gains achieved by RPA, with bots completing tasks in significantly less time compared to manual efforts across all cases. Moreover, the RPA system consistently achieves perfect accuracy, mitigating the risk of errors and enhancing process reliability. These results underscore the transformative potential of RPA in optimizing operational efficiency, reducing human labor costs, and improving overall business performance.

翻译：机器人流程自动化（RPA）已成为数据提取领域的一项颠覆性技术，彻底改变了组织处理和分析发票、采购订单、付款通知单等大量文档的方式。本研究探讨了RPA在结构化数据提取中的应用，并评估了其相对于人工流程的优势。通过比较人工执行的任务与RPA软件机器人执行的任务，我们评估了从发票中提取数据的效率和准确性，重点关注RPA系统的有效性。通过涉及不同数量发票的四种不同场景，我们以完成任务所需的时间和精力来衡量效率，并通过比较人工流程与RPA流程的错误率来衡量准确性。我们的研究结果突显了RPA实现的显著效率提升：在所有案例中，机器人完成任务所需的时间均显著少于人工操作。此外，RPA系统始终保持完美的准确性，降低了错误风险并提高了流程可靠性。这些结果彰显了RPA在优化运营效率、降低人力成本以及提升整体业务绩效方面的变革潜力。