The Contribution of the RPA Technology in Enhancing Better Business Performance in Warehouse Management

Abstract

The emergence of RPA technology has transformed warehouse management practices, presenting unparalleled prospects to improve business performance. This study explores the significant impact of RPA on improving warehouse operations, improving efficiency, accuracy, and cost-effectiveness. By conducting an inclusive examination of prevailing writings and case studies, this research explores how RPA automates repetitive tasks like inventory monitoring, order processing, and data input, ultimately reducing errors and streamlining processes. Furthermore, it evaluates the influence of RPA on workforce productivity, emphasizing the advantages of assigning tasks to robots and the potential for enhancing the skills of human employees in value-added tasks. Moreover, this study explores the combination of RPA with other tools such as AI and IoT, enhancing its capabilities in real-time data analysis, predictive maintenance, and demand prediction. The results highlight RPA’s pivotal role as a transformative tool in contemporary warehouse management, providing a competitive advantage through flexibility, scalability, and operational efficiency. Finally, this research contributes to a deeper conception of RPA’s implications for business development and sustainability in the ever-evolving logistics sector.

Keywords

• RPA
• AI and IoT
• business processes
• warehouse management
• automation
• logistics