Blinkit Sales Analysis Dashboard

This project presents an interactive Power BI dashboard developed to analyze Blinkit’s sales data and uncover key business insights.
It provides a clear view of sales distribution across outlet types, product categories, fat content levels, and establishment years, supporting data-driven decision making.

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Project Objectives

• Assess revenue performance across different outlet tiers and sizes
• Compare sales contribution by item fat content and category
• Track sales trends based on outlet establishment year
• Highlight insights to guide inventory planning and outlet strategy

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Key Insights

• Total sales: $1.20M across 8,523 items
• Tier 3 outlets recorded the highest sales ($472K)
• Regular fat content items outperformed low-fat items ($776K vs $425K)
• Fruits & Vegetables and Snack Foods were the top-selling categories (~$180K each)
• Sales peaked in 2019 ($205K) before slightly declining in later years

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Tools Used

• Power BI – dashboard creation and visualization
• Excel – data preparation and cleaning

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Dashboard

• Preview:
  

• PDF Report:
  View Dashboard PDF

• Power BI File (.pbix):
  Download PBIX

• Dataset (Excel):
  Download Data

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Author

Prepared by Linda Lang'at