✅Blinkit Analysis 🛒
❇️Business Requirements
To conduct a comprehensive analysis of Blinkit's sales Performance, customer satisfaction, and inventory distribution to identify key insights and opportunities for optimization using various KPIs and visualizations in Power BI.
❇️KPI's (Key Performance Indicator) Requirements 📊
(A). Total Sales : The Overall revenue generated from all items sold.
(B). Average Sales : The Average revenue per sale.
(C). Number of Items : The total count of different items sold.
(D). Average Rating : The Average customer rating for items sold.
❇️Chart's Requirements 📶
1️⃣ Total Sales by Fat Content
🎯 Objective : Analyze the impact of fat content on total sales.
📊 Additional KPI Metrics : Assess how other KPIs(Average Sales, Number of Items, Average Rating) vary with fat content.
📶Chart Type : Donut Chart.
2️⃣ Total Sales by Item Type
🎯 Objective : Identify the performance of different item types in terms of total sales.
📊 Additional KPI Metrics : Assess how other KPIs(Average Sales, Number of Items, Average Rating) vary with fat content.
📶Chart Type : Bar Chart.
3️⃣ Fat Content Outlet for Total Sales
🎯 Objective : Compare total sales across different outlets segmented by fat content.
📊 Additional KPI Metrics : Assess how other KPIs(Average Sales, Number of Items, Average Rating) vary with fat content.
📶Chart Type : Stacked Column Chart.
4️⃣ Total Sales by Outlet Establishment
🎯 Objective : Evaluate how the age or type of outlet establishment influence total sales.
📶Chart Type : Line Chart.
5️⃣ Sales by Outlet Size
🎯 Objective : Analyze the correaltion between outlet size and total sales.
📶Chart Type : Donut/Pie Chart.
6️⃣ Sales by Outlet Location
🎯 Objective : Assess the Geographic distribution of Sales across different locations.
📶Chart Type : Funnel Map.
7️⃣ All Metrics by Outlet Type
🎯 Objective : Provide a comprehensive view of all key metrics(Total Sales, Number of Items, Average of Sales, Average of Rating) broken down by different Outlet types.
📶Chart Type : Matrix Card.
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