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Blinkit_Sales_DataAnalytics

Blinkit Sales Dashboard using PowerBI

Project Objective-This project showcases a detailed Power BI dashboard designed to analyze Blinkit's sales performance, customer satisfaction, and inventory distribution.

Used Tool-๏ปฟExcel, Power BI.

Business Problem-The goal is to identify trends and patterns in sales data to optimize inventory management, marketing strategies, and overall business performance.

Steps involved while creating the Project- 1.Data Cleaning-Removing unnecessary columns and duplicates. Handling missing values.

2.๐ƒ๐š๐ญ๐š ๐Œ๐จ๐๐ž๐ฅ๐ข๐ง๐ : Created and optimized data relationships for effective analysis. 3.๐ƒ๐š๐ญ๐š ๐๐ซ๐จ๐œ๐ž๐ฌ๐ฌ๐ข๐ง๐ : Developed calculated columns and measures. Aggregated and prepared data for visualization. 4.๐ƒ๐€๐— ๐‚๐š๐ฅ๐œ๐ฎ๐ฅ๐š๐ญ๐ข๐จ๐ง๐ฌ: Implemented DAX formulas for metrics like Total Sales and Average Rating. Validated calculations for accuracy. 5.๐ƒ๐š๐ฌ๐ก๐›๐จ๐š๐ซ๐ ๐‹๐š๐ฒ๐จ๐ฎ๐ญ & ๐•๐ข๐ฌ๐ฎ๐š๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง: Designed a user-friendly layout with various visualizations, including Donut and Bar Charts,Funnel chart. Developed and formatted visual elements for clarity. 6.๐ƒ๐š๐ฌ๐ก๐›๐จ๐š๐ซ๐ ๐ˆ๐ง๐ญ๐ž๐ ๐ซ๐š๐ญ๐ข๐จ๐ง & ๐“๐ž๐ฌ๐ญ๐ข๐ง๐ : Integrated components into a cohesive dashboard. Tested for functionality and interactivity. 7.๐ˆ๐ง๐ฌ๐ข๐ ๐ก๐ญ๐ฌ ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐จ๐ง: Analysed visualizations to extract actionable insights. Compiled findings and recommendations into a report.

Used charts & tools : 1)line chart " illustrate to the outlet establishment. 2) cluster bar chart " illustrate to the item type. 3)donut chart " illustrate to the fat by content, outlet size. 4)funnel chart " illustrate to the outlet location.

Insights and Conclusions:

The total number of sales transactions made is 1.20M Sales. The average customer rating out of 5 is around 4. The total number of items available for sale is about 9K.

Key Insights

Key Performance Indicators (KPIs)

Total Sales: $1.20M Average Sales per Item: $141 Number of Items Sold: 8,523 Average Ratings: 3.9 Detailed Insights

  1. Sales by Fat Content:

Low Fat: $776.32K Regular: $425.36K 2. Sales by Outlet Types:

Supermarket Type1: $787.55K (5,577 items, Avg. Rating 3.92) Grocery Store: $151.94K (1,083 items, Avg. Rating 3.93) Supermarket Type2: $131.48K (928 items, Avg. Rating 3.93) Supermarket Type3: $130.71K (935 items, Avg. Rating 3.91) 3. Sales by Item Type:

Top-selling categories include Fruits and Vegetables, Snack Foods, Household items, and Frozen Foods. 4. Sales by Outlet Establishment Year:

Consistent increase in sales for outlets established from 2018 to 2022. 5. Sales by Outlet Size:

Medium-sized Outlets: $507.90K Small Outlets: $444.79K Large Outlets: $248.99K 6. Sales by Outlet Location:

Tier 3 Locations: $472.13K Tier 1 Locations: $336.40K Tier 2 Locations: $393.15K Conclusion

The analysis reveals significant trends in Blinkit's sales data. Medium-sized outlets and Tier 3 locations are leading in sales, with low-fat items generating more revenue compared to regular items. The data also shows a consistent increase in sales for newer outlets, indicating potential growth opportunities.

Recommendation

  1. Optimize Inventory: Focus on increasing the availability of low-fat items, especially in medium-sized outlets and Tier 3 locations.

  2. Targeted Marketing: Develop targeted marketing strategies for top-selling categories and high-performing outlet types to maximize sales.

  3. Expand Outlet Sizes: Consider expanding the size of successful outlets to enhance overall sales performance.

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Blinkit Sales Dashboard using PowerBI

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