project = {
"name" : "Blinkit Sales Dashboard",
"tool" : "Power BI Desktop",
"domain" : "Retail Analytics — Quick Commerce",
"company" : "Blinkit (formerly Grofers) — India's Instant Grocery Delivery",
"data" : "10-year sales data (2012–2022)",
"records" : "8,523 items across 10 outlets",
"features" : ["KPI Cards", "Interactive Slicers", "DAX Measures",
"Outlet Analysis", "Category Breakdown", "Sales Trends"],
"outcome" : "📊 End-to-end BI Dashboard with actionable business insights"
}
⚡ "Turning 10 years of Blinkit grocery data into decisions that drive business growth — outlet by outlet, category by category."
| 💰 Total Sales |
🛒 Total Items |
⭐ Avg Rating |
🏪 Total Outlets |
📦 Avg Sales/Outlet |
| $1.2 Million |
8,523 |
3.9 / 5 |
10 |
$141.0 |
✅ Sales by Item Type — Which product categories generate the most revenue
✅ Sales by Outlet Location — Tier 1 vs Tier 2 vs Tier 3 city performance
✅ Sales by Outlet Type — Supermarket vs Grocery Store breakdown
✅ Sales Trend (2012–2022) — 10-year historical sales performance
✅ Top Performing Items — Fruits, Snacks, Household & more ranked by revenue
✅ Interactive Filters — Filter by Outlet Size, Location & Fat Content
🏆 Tier 2 cities lead in total sales at $0.47M — outperforming Tier 1
🛍️ Supermarket Type 1 dominates with 65.54% of total outlet sales
🥦 Fruits & Vegetables and Snack Foods are the top revenue drivers
📈 Sales peaked in 2018 at $205K — strong mid-decade growth
🏪 High-size outlets consistently outperform medium and small outlets
⚡ Low Fat products outsell Regular Fat — health-conscious buying trend
| Tool |
Usage |
| Power BI Desktop |
Dashboard creation & visualization |
| DAX |
Custom measures & calculated columns |
| Power Query |
Data transformation & cleaning |
| Excel / CSV |
Source data preparation |

| Power BI |
DAX |
Business Intelligence |
| ✅ Dashboard Design |
✅ KPI Measures |
✅ Retail Analytics |
| ✅ Interactive Slicers |
✅ Calculated Columns |
✅ Business Insights |
| ✅ Data Modeling |
✅ Time Intelligence |
✅ Outlet Performance |
| ✅ Visual Storytelling |
✅ Conditional Formatting |
✅ Category Analysis |
Devesh Shukla
Data Analyst | Power BI Developer | Builder

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