📊 Blinkit Sales Analysis Dashboard (Power BI)

📌 Project Overview

This project presents a detailed Sales Analysis Dashboard for Blinkit - India's Last Minute App, created using Power BI.
The dashboard provides insights into sales performance, outlet distribution, item sales, and customer ratings to help business stakeholders make data-driven decisions.

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🚀 Key Features & Insights

• Total Sales: $1.20M
• Average Sales per Item: $141
• Number of Items: 8,523
• Average Rating: 3.9 ⭐

🔍 Analysis Highlights:

• Sales Breakdown by Fat Content:

  • Low Fat: $425.36K
  • Regular: $776.32K

• Top Performing Categories:

  • Fruits & Vegetables: $0.18M
  • Snack Foods: $0.18M
  • Household Items: $0.14M

• Sales by Outlet Location:

  • Tier 3: $472.13K
  • Tier 2: $393.15K
  • Tier 1: $336.40K

• Sales by Outlet Size:

  • High: $507.90K
  • Medium: $444.79K
  • Small: $248.99K

• Outlet Type Performance:

  • Supermarket Type1: $787.55K (highest sales)
  • Grocery Store: $151.94K
  • Supermarket Type3: $130.71K
  • Supermarket Type2: $131.48K

• Trend Over Years:

  • Sales peaked in 2018 at $205K before stabilizing in subsequent years.

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📂 Files Included

• Blinkit_Sales_Analysis.pbix → Power BI dashboard file
• data.csv → Dataset used for analysis
• README.md → Project documentation

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🛠️ Tools & Technologies

• Power BI → Dashboard creation & visualization
• Excel / CSV → Data cleaning & preprocessing
• DAX Queries → Data modeling & calculations

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📈 Business Use Case

This analysis helps Blinkit to:

• Identify top-selling product categories.
• Optimize outlet performance by size & location.
• Track sales trends over time.
• Understand customer preferences (Fat content, product categories).