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BlinkIt Sales & Operations Dashboard (Power BI)

This project was completed as part of a self-learning initiative through a YouTube tutorial, aimed at strengthening my Power BI skills and hands-on dashboard development experience.

Project Type

Data Visualisation

Date

February 2025

Blinkit PowerBI Project 1_page-0001.jpg

Project Overview

This interactive Power BI dashboard was developed to simulate a BlinkIt-style retail analytics platform, offering real-time insights into sales, inventory distribution, and outlet performance. The dashboard is designed to support regional managers, marketing teams, and operations by making complex data visually digestible and actionable.

Project Objective

To create a single-pane view of BlinkIt’s performance across different locations, outlet types, and product categories,  using dynamic filtering and cross-functional KPIs to drive quick, data-backed decisions.

Tools Used

  • Power BI Desktop

  • DAX for dynamic measures

  • Power Query for data cleaning

  • Interactive filtering using slicers & cross-highlighting

  • UX-focused layout with modular charts

Dashboard Highlights

KPI Summary Cards

  • Total Sales

  • Average Sales

  • Number of Items Sold

  • Average Customer Rating

Category & Content Analysis

  • Pie chart showing fat content breakdown

  • Bar graph visualizing fat content per outlet

  • Bar graph for item type distribution

Outlet Performance & Demographics

  • Line chart showing establishment year trends

  • Pie chart for outlet size (Small, Medium, High)

  • Tier classification (Tier 1, 2, 3 cities)

  • Outlet types (Supermarket Type I, II, III)

Filter-Driven Interactivity

  • Users can toggle metrics like Sales, Rating, Visibility

  • All visualizations update in real-time

  • Clean dashboard layout prioritizing usability and visual clarity

Business Relevance

This dashboard simulates real-world applications like:

  • Understanding how location and size affect revenue

  • Tracking product category performance across outlets

  • Supporting inventory and marketing optimization

  • Identifying high-performing outlet types for expansion

My Role

I designed and developed the entire dashboard from scratch, including data modeling, UX layout, KPI selection, and interactivity. My focus was to build a business-friendly interface that makes data easy to explore and act on.

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