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		<www.jsetms.com>
		<Title>RETAIL STORE PERFORMANCE COMPARISON DASHBOARD</Title>
		<Author>1 DR.M.Dileep, 2 D Akhila, 3 A Ashritha, 4 G Neeraj Kumar, 5 J Gunguli</Author>
		<Volume>03</Volume>
		<Issue>09</Issue>
		<Abstract>The Retail Store Performance Comparison Dashboard is a data analytics and visualization system designed to help retail businesses monitor and compare the performance of multiple stores Retail organizations often operate several branches across different locations and each store may generate different levels of sales revenue customer traffic and profit An effective dashboard can help managers understand these differences and make better business decisions The proposed system collects retail information such as sales revenue number of transactions products sold customer visits profit discounts and inventory levels The collected data is processed and transformed into meaningful performance indicators The system organizes the information by store product category location time period and other business dimensions This allows managers to compare stores using consistent performance metrics The dashboard provides interactive charts graphs tables and key performance indicators Users can compare stores based on total sales average transaction value profit margin customer traffic product performance and inventory turnover Filters can be applied based on date location store product category and sales channel This makes it easier to identify highperforming and underperforming stores The system can also identify performance trends and highlight important differences between stores Managers can determine which stores are achieving their targets and which locations may require additional attention Historical comparisons can be used to understand monthly quarterly or yearly performance The dashboard can also provide insights into products and categories contributing most significantly to store performance Overall the Retail Store Performance Comparison Dashboard provides a centralized and userfriendly platform for retail performance analysis It reduces dependence on manually prepared reports and helps managers make faster datadriven decisions Future enhancements can include AIbased sales forecasting anomaly detection automated recommendations customer segmentation realtime data integration and predictive inventory management</Abstract>
		<permissions>
<copyright-statement>Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
		</www.jsetms.com>
		