Blinkit's Power BI dashboard for sales analysis and insights

🚀Excel Project - Blinkit Sales Data Dashboard 📈 Recently, I created an interactive Excel Dashboard to analyze Blinkit's Grocery Sales data and uncover key business insights. 📊 Key Highlights: ✅ Total Sales - $1.20M ✅ Average Sales - $141 ✅ Total Items - 8523 ✅ Tier 3 outlets generated the highest sales($472k) ✅ Low-fat items contributed 65% of total sales This project helped visualize performance across outlet types, locations and item categories-transforming raw data into actionable insights for smarter decision-making. #DataAnalytics #ExcelDashboard #Blinkit #DataVisualization #RetailAnalytics #BusinessIntelligence #DashboardDesign #DataDriven #DataCleaning

Turning numbers into stories 📈 🚀 Just finished designing a Blinkit Sales Dashboard to track key performance metrics — from total sales and revenue to city- and category-wise insights. The goal was to visualize complex data in a simple, intuitive way to help drive better business decisions. 📊 Built using modern visualization principles focused on clarity, hierarchy, and color balance. #DataAnalytics #DashboardDesign #PowerBI #DataVisualization #Blinkit #Analytics #BusinessIntelligence

🚀 Excited to share my latest project - an Interactive Blinkit Sales Dashboard 📊 Using Excel, Power Query, Pivot Tables & advanced functions, I cleaned and transformed 8,500+ rows of raw grocery data into a dynamic, slicer-driven dashboard. The dashboard reveals: ✅ Key KPIs like total sales, average sales, item count & customer ratings ✅ Outlet-wise, location-wise & year-wise performance ✅ Product insights across categories and fat content ✅ Trends that highlight Blinkit’s growth in Tier 2 supermarkets & essential groceries This project sharpened my skills in data cleaning, visualization, and storytelling with Excel. It’s amazing how interactive dashboards can turn raw numbers into actionable insights. 👉 Inspired by Blinkit’s grocery data to uncover real business insights. Blinkit 🖇️Github - https://lnkd.in/dTgHe7Uc 💡 Power isn’t in the data itself - it’s in how you bring it to life! #Excel #PowerQuery #DataAnalytics #Dashboard #DataVisualization #Blinkit #DataCleaning #PivotTables #DataDriven #Analytics #ExcelDashboard #DataInsights #BusinessAnalytics #StorytellingWithData

🚀 Interactive Blinkit Sales Dashboard – Built in Power BI I created this Blinkit Sales Performance Dashboard to analyze business performance and help identify growth opportunities. 📊 Key Metrics Tracked: Total Sales: $1.20M revenue generated Average Sales per Outlet: $141 Total Items: 8,523 products Average Customer Rating: 3.9 ⭐ 🔹 Key Features: Dynamic filters to explore data by Outlet Type, Size, and Product Category. Trend analysis from 2012–2022, showing sales peaks and dips. Sales segmentation by location tiers and fat content for actionable insights. Automated reporting with Power Query, reducing manual effort by 40%. 🛠 Tools Used: Power BI, Excel 💬 Would love to hear your thoughts — which other KPIs would you add to improve this dashboard? #PowerBI #DataAnalytics #BusinessIntelligence #Blinkit #DataVisualization #RetailAnalytics #DataScience #Analytics

🚀 Excited to share my latest project! I created an interactive Blinkit Sales Dashboard in Excel to track and analyze sales performance. 📊 Key Highlights: Total Sales, Avg. Sales & Ratings overview Outlet-wise, category-wise, and location-based analysis Dynamic filters for outlet size, item type & region Clean visualizations for quick insights This project shows how Excel can transform raw data into actionable insights and support better decision-making. #Excel #DataAnalytics #Dashboard #Blinkit #SalesAnalysis #DataVisualization

Project: Blinkit Sales Analysis Dashboard | Power BI Under the guidance of: Usman Raja I've developed this Blinkit Sales Analysis Dashboard to visualize $1.2M in Total Sales, 8523 items sold, and an Avg Rating of 3.9. Key Takeaways include: The impact of Outlet Establishment year-over-year. The breakdown of sales by Fat Content and Outlet Location (Tier 1, 2, 3). Top-selling Item Types (Fruits, Snacks, Household). Huge gratitude to Usman Sir for his continuous support and expert direction throughout this learning journey. His insights were crucial! SkillCircle™ Aman Cingh Rawat #DataScience #DataViz #Dashboard #Analytics #Blinkit #LinkedInLearning

Built a Power BI dashboard to analyze Blinkit’s sales performance, customer satisfaction and inventory distribution, aiming to uncover actionable insights for business optimization. The Problem Statement I Tackled: Understand sales trends, customer ratings, and outlet performance to uncover opportunities for revenue growth and smarter inventory management. The Key Metrics I Focused on To Guide My Analysis: -Total Sales: $1.2M -Average Sales: $141 -Number of Items Sold: 8,523 -Average Rating: 3.9 How I Turned Data into Insights using Power BI: -Data Cleaning & Preparation: Ensured accuracy and consistency of sales, ratings, and outlet data before analysis. -Exploring Trends & Comparisons: Sales by fat content, item type, outlet establishment, size, and location. -Visual Storytelling: Cards for KPIs, slicers for dynamic filtering, area & bar charts, donut charts, and matrix for detailed breakdowns. -Interactive & Intuitive Dashboards: Buttons for easy navigation, conditional formatting, and customized icons and colors for instant readability. What the Analysis Revealed: -Identified top-selling products and high-performing outlets. -Tracked sales trends over time to plan promotions. -Optimized distribution strategy based on outlet type, size, and location. -Highlighted customer preferences via average ratings to guide strategy. If you were analyzing a fast-moving platform like Blinkit using Power BI, which metrics or visuals would you prioritize to boost revenue and enhance customer experience? Yugratho Ventures #PowerBIProject #MicroSoft #PowerBI #DataAnalytics #SalesInsights #DataVisualization #Dashboard #DataDriven #BusinessesIntelligence #Blinkit Yugratho Ventures

🛒 Thrilled to share my Blinkit Sales & Outlet Performance Dashboard built using Microsoft Excel! This interactive dashboard provides actionable insights into retail sales and customer trends, including: 📊 Key Metrics – Total Sales, Avg Sales, Avg Rating 📦 Item Type & Fat Content Analysis 🏬 Outlet Size, Location & Type Insights 📈 Yearly Sales & Establishment Trends Using Pivot Tables, Power Query, Charts, Conditional Formatting, and Slicers, I transformed raw data into a comprehensive view of business performance in the Retail & FMCG domain. 💻 Tools Used: Microsoft Excel 🏷 Domain: Retail & FMCG Analytics 🔗 GitHub Repository: https://lnkd.in/gSaNhyk9 #DataAnalytics #ExcelDashboard #RetailAnalytics #FMCG #Blinkit #Excel #DataVisualization #DataDriven

🚀 Excited to share my new Power BI Blinkit Sales Dashboard! 📊 I’ve built an interactive Business Intelligence dashboard using Power BI to analyze Blinkit’s sales performance across multiple factors — including outlet location, size, item type, and fat content (Low Fat vs Regular). The goal was to turn complex sales data into clear, actionable insights for better decision-making. Dashboard Highlights: • 💰 Total Sales: $1.2M • 💳 Average Sales: $141 • 📦 Total Items: 8,523 • ⭐ Average Rating: 3.9 Key Features: ✅ Data Preparation: Cleaned and structured raw datasets into reliable, analysis-ready tables. ✅ Data Visualization: Designed KPI cards, trend charts, and donut visuals to represent sales by outlet type, location tier, and item category. ✅ DAX & Interactivity: Used DAX formulas and dynamic slicers for flexible filtering and real-time insights. ✅ Business Insights: Identified top-performing outlets and product types, helping highlight trends in consumer preferences and outlet performance. This dashboard provides a complete view of sales performance and supports data-driven business strategy through clear, insightful visuals. #powerbi #dataanalytics

🚀 Blinkit Sales Performance Analysis | Power BI Dashboard I recently built an interactive Power BI dashboard to dive deep into Blinkit’s sales performance, customer satisfaction, and outlet trends — with the goal of uncovering insights that drive smarter business decisions. The dashboard covers everything from revenue and product ratings to store size and location performance, all visualized through clear and interactive charts. 🧩 Key KPIs Total Sales: Overall revenue generated Average Sales: Average revenue per sale Number of Items: Total count of items sold Average Rating: Overall customer satisfaction 📊 Visual Highlights Total Sales by Fat Content: Donut chart showing the impact of fat levels on revenue. Total Sales by Item Type: Bar chart comparing product category performance. Fat Content by Outlet: Stacked column chart to compare outlet-wise sales. Sales by Outlet Establishment: Understanding how outlet age influences performance. Sales by Outlet Size: Donut chart highlighting how store size correlates with sales. Sales by Location: Funnel map visualizing geographic sales distribution. All Metrics by Outlet Type: A matrix card bringing every KPI together for a complete picture. 💡 What This Dashboard Reveals: 📌 Which outlet types and product categories perform best. 📌 How customer satisfaction impacts overall sales. 📌 Key areas where store optimization can boost profits. ♦️ GitHub:https://lnkd.in/gnaY_pqJ #PowerBI #DataAnalytics #Blinkit #DashboardDesign #BusinessIntelligence #DataVisualization #DataDriven #AnalyticsProject #DataAnalyst