Blinkit - India's Last Minute App - has been visualized in this interactive Power BI dashboard to analyze outlet-level performance, product category trends, and customer preferences.
This Power BI dashboard provides a comprehensive overview of:
- 🧾 Total Sales: $1.20M
- 📦 Number of Items: 8,523
- 💰 Average Sales per Item: $141
- ⭐ Average Customer Rating: 3.9
- Time Series Analysis of outlet establishment growth (2010–2022)
- Sales by Outlet Location (Tier 1, 2, 3)
- Sales by Outlet Size (Small, Medium, High)
- Sales by Outlet Type (e.g., Grocery Store, Supermarket Type1/2/3)
- Fat Content Breakdown: Low Fat vs Regular
- Item Type Sales across categories like Fruits, Dairy, Snacks, etc.
- Interactive Filters for Outlet Type, Size, Location, and Item Type
- 📅 Yearly Trend of outlet establishment and performance
- 🧭 Outlet Geography Analysis (Tier-based segmentation)
- 🥫 Product Category Insights to track top-selling categories
- ⚙️ Fully Interactive Filter Panel to dynamically update visuals
- 🎨 Custom UI Design with Blinkit branding and color themes
- Power BI Desktop
- DAX for Measures & Calculated Columns
- Interactive Slicers and Visual Filters
Apurva Mishra
🔗 LinkedIn
📧 For queries: apooorvmishra@gmail.com
Blinkit Dashboard.pbix– Main Power BI dashboard fileBlinkit Dashboard.png– Dashboard preview image
- Open the
.pbixfile in Power BI Desktop - Use the filter panel to explore various metrics and insights
- Tier 3 contributes the highest sales: $472K
- Supermarket Type 1 leads with $787K+ sales
- Regular fat products outperform low-fat in total sales
- Fruits and Snacks are the most sold item categories