Blinkit-Sales-Dashboard

This project is an interactive Power BI dashboard developed to analyse Blinkit's sales performance, outlet operations, product distribution, and customer-related metrics. The dashboard converts raw retail sales data into meaningful business insights through visualisation and KPI tracking. The objective of this project is to monitor business performance, identify sales trends, evaluate outlet efficiency, and support data-driven decision-making.

Key KPIs

Total Sales: $1.20M

Average Sales: $140.99

Number of Items: 8,523

Average Rating: 3.9

Dashboard Features

Sales Analysis

Tracked total revenue and average sales performance to understand overall business growth.

Outlet Performance

Analysed outlet sales based on the following:

Outlet Size

Outlet Location Type

Outlet Establishment Year

Outlet Type

Product Category Analysis

Identified top-performing product categories contributing the highest revenue.

Customer & Product Insights

Compared low-fat and regular products to understand purchasing trends and monitored customer ratings for performance evaluation.

Interactive Filters

Added slicers for:

Outlet Location Type

Outlet Size

Item Type

Outlet Type

Outlet Identifier

These filters allow users to dynamically explore data and generate business insights.

Project Outcome

This project demonstrates practical skills in business intelligence, KPI reporting, analytical thinking, and dashboard development using Power BI. It highlights the ability to transform raw business data into business insights for decision-making.

Developed By

Sunny Mehta