Workflow automation has become increasingly accessible through low-code platforms, enabling small organizations and individuals to improve operational efficiency without extensive software development expertise. This study evaluates the performance impact of workflow automation using n8n through a small-scale business case study. A representative lead-processing workflow was implemented to automatically store data, send email confirmations, and generate real-time notifications. Experimental benchmarking was conducted by comparing 20 manual executions with 25 automated executions under controlled conditions. The results demonstrate a significant reduction in the average execution time from 185.35 seconds (manual) to 1.23 seconds (automated), corresponding to an approximately 151 times reduction in execution time. Additionally, manual execution exhibited an error rate of 5%, while automated execution achieved zero observed errors. The findings highlight the effectiveness of low-code automation in improving efficiency, reliability, and operational consistency for small-scale workflows.

翻译：通过低代码平台，工作流自动化已变得越来越易于实现，使得小型组织和个人无需广泛的软件开发专业知识即可提升运营效率。本研究通过一项小规模商业案例，评估了使用n8n进行工作流自动化的性能影响。我们实现了一个具有代表性的线索处理工作流，用于自动存储数据、发送邮件确认以及生成实时通知。通过在受控条件下比较20次手动执行与25次自动执行，进行了实验性基准测试。结果表明，平均执行时间从185.35秒（手动）显著减少至1.23秒（自动），相当于执行时间减少了约151倍。此外，手动执行的错误率为5%，而自动执行实现了零观测错误。这些发现凸显了低代码自动化在提升小规模工作流的效率、可靠性和运营一致性方面的有效性。