Beyond Revenue: Visual Analytics for Retail Profitability using Tableau

Hanif Qadeer Ahmed1, Praveen Kumar Sahu2, Mohammed Mustafa Ali 3, Dr. Shahana Tanveer4

1, 2, 3 Student, 4Associate Professor

1, 2, 3 hanifqadeer@gmail.com, praveenkumarsahu17@gmail.com, mohammed.mustafajf2004@gmail.com, 4drshahanatanveer@methodist.edu.in

1,2,3,4 Department of Artificial Intelligence and Data Science, Methodist College of Engineering andTechnology, Hyderabad, India

Abstract - This dataset covers U.S. supermarket retail sales across multiple product categories. It includes customer demographics, order details, product types, shipping methods, payment modes, and financials — revenue, quantity, and profit. The data is useful for spotting patterns: which products are actually profitable, which regions underperform, how shipping choices affect margins, and whether payment method has any real bearing on sales. Retail managers, supply chain analysts, and business strategists are the likely audience, though anyone doing retail analytics will find something here.Keywords: Supermarket Sales, Retail Analytics, Profit Analysis, Regional Performance, Data Visualization