Einstein International Journal Organization(EIJO)

Abstract 

This research paper presents a comprehensive analysis of Blinkit’s sales performance using Microsoft Power BI. The objective of this study is to transform raw retail data into actionable insights through data modeling, visualization, and performance metrics. The dashboard designed for this research focuses on evaluating product categories, outlet size, outlet locations, and fat content impact on sales. The findings indicate significant patterns in customer preferences, outlet efficiency, and category-wise performance. This research demonstrates how Business Intelligence tools can enhance decision-making in modern quick-commerce environments.

1. Microsoft Power BI Documentation 
2. Quick Commerce Market Research Reports
3. Retail Analytics and BI Journals 
4. Power Query and DAX Official Resources 
5. Industry reports on consumer behavior and retail patterns