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.

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

Excel (for data cleaning and preparation)

DAX (for calculated measures and KPIs)

🏆 Top 3 Item Categories:

📍 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

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

Download the .pbix file from this repository

Open in Power BI Desktop

Explore the visuals and use filters to analyze specific trends

✅ Completed — Ready for portfolio, learning, and demonstration.

✉️ Email: [jiten.bisht007@gmail.com]

💼 LinkedIn: [www.linkedin.com/in/jitendra-singh-566a5522b]