Blinkit Power BI Dashboard
Jitendra Bisht
🚚 Blinkit Power BI Dashboard
This Power BI project provides deep insights into Blinkit's sales performance, product distribution, outlet types, and customer satisfaction. The interactive dashboard helps understand how different outlet sizes, item types, and cities perform over time.
🖼️ Dashboard Preview
(This image is a screenshot of the main dashboard page built using Power BI Desktop)
📊 Dashboard Overview
The dashboard includes:
🛒 Total Sales: ₹1.20M
📦 Number of Items: 9K+
📈 Average Sales per Product: ₹140.99
🌟 Average Customer Rating: 3.92 stars
🧁 Top Selling Categories: Fruits, Snacks, Household items
🏙️ Sales by Location: Tier 3 locations contribute the most
🍞 Fat Content Distribution: 64.73% of items are Regular fat
🧱 Outlet Size Performance: Medium outlets have the highest sales
🧰 Tools & Technologies Used
Power BI Desktop
Excel (for data cleaning and preparation)
DAX (for calculated measures and KPIs)
Data Visualization Techniques
🔍 Key Insights
🏆 Top 3 Item Categories:
Fruits and Vegetables
Snack Foods
Household Items
📍 Tier 3 locations outperform Tier 1 in both item count and sales
🧁 Low fat vs. Regular fat content ratio is approximately 1:2
⭐ Majority of products have customer ratings near 4.0
🧱 Medium-sized outlets dominate in performance
📁 Dataset Info
This dashboard is based on a simulated Blinkit dataset, which includes fields like:
Item Type
Outlet Size
Item Fat Content
Sales & Ratings
Outlet Location Type
🚀 How to Use
Download the
.pbix file from this repositoryOpen in Power BI Desktop
Explore the visuals and use filters to analyze specific trends
📌 Project Status
✅ Completed — Ready for portfolio, learning, and demonstration.
🙌 Connect with Me
✉️ Email: [jiten.bisht007@gmail.com]
💼 LinkedIn: [www.linkedin.com/in/jitendra-singh-566a5522b]
Made with 💛 by Jitendra | Data Analyst
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Posted Apr 19, 2025
Developed a Power BI dashboard for Blinkit's sales insights.
