Blinkit Sales Analysis Dashboard (Excel) -

Date

Service

Data Analytics

Client

Personal Project

Blinkit Sales Dashboard

Project Overview

Developed an interactive Excel dashboard to analyze Blinkit's sales performance, customer ratings, inventory distribution, and outlet performance. The dashboard enables stakeholders to monitor key business metrics and explore sales trends through interactive filters and visualizations, supporting data-driven decision-making.

Business Problem

Blinkit requires a centralized dashboard to evaluate sales performance across products, outlet types, outlet sizes, and geographic locations. The objective is to identify sales trends, measure customer satisfaction, understand inventory distribution, and uncover business opportunities using interactive data visualizations and key performance indicators (KPIs).

Dataset

Blinkit Sales Dataset Overview

  • Dataset: Blinkit Sales Dataset

  • Records: 8,523

  • File Format: Excel (.xlsx)

  • Industry: Retail / Grocery

Key Fields:

Item Type, Sales, Rating, Outlet Type, Outlet Size, Outlet Location, Fat Content, Establishment Year.

Tools Used

  • Microsoft Excel

  • Pivot Tables

  • Pivot Charts

  • Slicers

  • Data Cleaning

Project Methodology

  1. Data Collection

  2. Data Cleaning

  3. Data Preparation

  4. KPI Development

  5. Pivot Table Analysis

  6. Dashboard Design

  7. Business Insights

  8. Business Recommendations

Dashboard Overview

This interactive Excel dashboard provides a comprehensive view of Blinkit's sales performance through KPI cards, trend analysis, outlet comparisons, and product-level insights. Users can dynamically filter the data by Outlet Size, Outlet Location Type, and Item Type to explore business performance.

Key Highlights

Insights

• Total Sales reached $1.20M.

• Fruits & Vegetables generated the highest sales.

• Tier 3 outlets recorded the highest revenue.

• Medium-sized outlets outperformed other outlet sizes.

• Supermarket Type 1 generated the highest sales.

• Average customer rating is 4.0.

Recommendations

• Increase inventory for high-performing product categories.

• Expand operations in Tier 3 locations.

• Apply successful practices from Supermarket Type 1 to other outlet types.

• Improve customer satisfaction to increase ratings.

• Optimize product distribution across outlet sizes.

Click below link to check GitHub projects and datasets. ↓

https://github.com/MohanThurpati

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