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The E-Commerce Data Analysis project leverages Power BI to analyze sales and customer insights from Blinkit, Zepto, Myntra, and Flipkart, providing interactive dashboards to enhance e-commerce strategies.

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📊 E-Commerce Website Data Analysis (Power BI)

🚀 Overview

This project analyzes data from four major e-commerce platforms:
🛒 Blinkit, Zepto, Myntra, and Flipkart
Using Power BI, the dashboards provide interactive visualizations to uncover key insights into sales trends, customer behavior, product performance, and market trends across these platforms.


🔍 Key Insights & Visualizations

1️⃣ Sales Performance

📈 Dashboard Insights:

  • Total revenue comparison across Blinkit, Zepto, Myntra, and Flipkart
  • Monthly and yearly sales growth trends
  • Revenue breakdown by product category and brand

2️⃣ Popular Products

🏆 Dashboard Insights:

  • Top-selling products on each platform
  • Best-performing categories based on revenue and sales volume
  • Customer purchase patterns for trending items

3️⃣ Customer Behavior

🛍️ Dashboard Insights:

  • Order frequency analysis (Repeat vs. One-time customers)
  • Average cart value across platforms
  • Customer preference trends (based on product ratings & reviews)

4️⃣ Market Trends

📊 Dashboard Insights:

  • Seasonal demand patterns (High vs. Low sales periods)
  • Category-wise demand fluctuations
  • Pricing strategies and their impact on sales

🗂️ Dataset Details

The dataset consists of transactional data from:

  • Blinkit – Online grocery & essentials
  • Zepto – Quick commerce platform
  • Myntra – Fashion e-commerce
  • Flipkart – Multi-category online marketplace

Data Includes:

✅ Order details (Order ID, Date, Customer ID)
✅ Product categories & pricing
✅ Sales figures (Revenue, Discounts, Profits)
✅ Customer demographics & purchasing trends


📊 Power BI Dashboard Features

🎯 Comparative analysis of multiple e-commerce platforms
📌 Interactive visualizations with filters and slicers
📈 Trend analysis & forecasting for future sales performance
📊 Custom charts & KPIs for quick decision-making

Each dashboard is designed to enhance business intelligence by providing clear, data-driven insights for improving e-commerce strategies.


📁 File Structure

📂 Data Folder – Contains raw datasets used for analysis
📂 PowerBI_Reports Folder – Includes Power BI report files (.pbix)


📌 Screenshots

Below are sample views of the Power BI Dashboards for each e-commerce platform:

🖼️ Blinkit Dashboard
![Blinkit Dashboard]image

🖼️ Zepto Dashboard
![Zepto Dashboard]image

🖼️ Myntra Dashboard
![Myntra Dashboard]image

🖼️ Flipkart Dashboard
![Flipkart Dashboard]image


🏆 Conclusion

This project demonstrates how Power BI can transform raw data into actionable insights for e-commerce platforms. By analyzing sales, customer behavior, and market trends, businesses can make data-driven decisions to improve performance.

📧 Feel free to reach out for any queries or suggestions! 🚀

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The E-Commerce Data Analysis project leverages Power BI to analyze sales and customer insights from Blinkit, Zepto, Myntra, and Flipkart, providing interactive dashboards to enhance e-commerce strategies.

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