Automated Retail Sales Monitoring and Incident Management System is designed to improve retail business operations through automation and data analysis. In traditional retail environments, sales data is often manually entered and analyzed, which can lead to delays, errors, and inefficient decision-making.This project uses UiPath robotic process automation to automate the process of collecting, storing, and analyzing retail sales data. The system allows users to enter sales details such as bill number, product name, category, quantity, price, branch, and date using input dialogs. The entered data is automatically stored in an Excel database where the automation performs various analytical operations. The system calculates total revenue, analyzes category-wise sales performance, and monitors monthly growth trends. If the revenue falls below a predefined target, the system generates alerts and sends automated email notifications. Additionally, the system integrates with ServiceNow APIs to retrieve incident information and store it for monitoring purposes.This automation improves accuracy, reduces manual effort, and enables faster business insights. The proposed system demonstrates how robotic process automation can be effectively applied in retail analytics and incident monitoring environments.

Dr.M.Jaithoon Bibi, Ms.V.Uthra, K.C.Thiyaa Sree,"Automated Retail Sales Monitoring Using UiPath & Power BI (RSM)" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(4): Page(202-207) March - April 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.