Intelligent Automation for Retail: Solving Inventory Management Challenges with RPA

摘要

Intelligent Robotic Process Automation (IRPA) integrates Artificial Intelligence (AI) with Robotic Process Automation (RPA) to automate complex, unstructured tasks, enhance decision-making, and adapt to evolving scenarios. This paper explores how IRPA can address the challenges of retail inventory management by ensuring real-time stock updates, improving replenishment accuracy, and optimizing processes. A framework for IRPA adoption was developed through extensive research and expert consultations, highlighting key factors such as accuracy, human involvement, and task standardization as primary drivers for successful implementation. Secondary considerations, including digital data input, system integration, and cost implications, were also analyzed. The study leverages Relative Importance Index (RII) analysis and Causal-Loop Diagrams (CLD) to provide actionable insights for organizations. This framework serves as a practical guide for leveraging IRPA to transform inventory management, improve operational efficiency, and enhance value creation. Keywords: Retail, Inventory Management, Robotic Process Automation (RPA), Intelligent Automation, Stock Replenishment, Real-Time Updates, Optimization, Digital Transformation, Process Analysis Framework.