A comprehensive Power BI dashboard analyzing Blinkit's sales performance, customer satisfaction, and inventory distribution. This project offers interactive visualizations and KPIs to uncover insights and trends in Blinkit's retail operations.
This project presents a data-driven Power BI dashboard that explores multiple dimensions of Blinkit's performance:
- Sales Performance (Total and Average)
- Customer Feedback (Average Rating)
- Inventory and Item Analysis
- Outlet Location & Type Impact
- Health Preferences (Fat Content)
The dashboard is built for interactive data exploration using slicers and charts, enabling real-time filtering based on outlet location, size, and item type.
| KPI | Value |
|---|---|
| Total Sales | $1.20M |
| Average Sales | $141 |
| Number of Items | 8,523 |
| Average Rating | 3.9 / 5 |
- Filter Panel: Slice data by outlet location type, size, and item category.
- Outlet Establishment Trend: Visualizes outlet growth (2010–2022).
- Fat Content Analysis: Tracks consumer preference for low-fat vs regular products.
- Item Type Distribution: Highlights best-selling categories.
- Outlet Size & Location Analysis: Compares sales by outlet tier and size.
- Outlet Type Comparison: Assesses different outlet types based on key metrics.
- 🥇 Total sales surpassed $1.2M, indicating strong market performance.
- 🥦 Low-fat products are preferred, suggesting health-conscious behavior.
- 🍇 Fruits, vegetables, and snacks are top-performing categories.
- 🏬 Tier 3, medium-sized outlets are the most profitable.
- 🛒 Supermarkets drive high sales volume, while grocery stores offer better visibility per item.
├── figures/ # Contains additional visuals used in Dasboard design
├── BlinkIT Grocery Data.xlsx # Raw data used in the dashboard
├── background kpi.png # Background used for KPI cards
├── dashboard.pbix # Power BI dashboard file
├── dashboard_snapshot.png # Dashboard snapshot
└── README.md # Project documentation
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