An Unofficial MCP server that lets Claude Desktop search products, manage carts, and complete Blinkit orders automatically using natural language commands.

This is a real-world business use case, often tackled with data analysis, machine learning, and geospatial visualization. working on a store placement prediction project where the goal is to visualize and predict ideal locations for placing a new store, using a map generated on your system.

This Power BI dashboard project offers a comprehensive analysis of Blinkit, India's Last Minute App, focusing on sales performance, customer satisfaction, and inventory distribution. The interactive dashboard transforms raw data into actionable insights, enabling data-driven decision-making for business optimization.

Find the Perfect Blinkit Location is a web-based project that helps identify the best possible location for opening a new Blinkit dark store or delivery hub. The website uses location-based analysis and user-friendly visualization to support better store placement decisions.

Beginner-friendly grocery delivery website built with HTML, CSS, and JavaScript, perfect for practicing frontend and e-commerce basics.

This repository contains an interactive Power BI dashboard built for Blikit, showcasing key business metrics and insights. The dashboard helps monitor performance, analyze customer behavior, and support data-driven decision-making.

📊 Interactive Excel Dashboard analyzing Blinkit grocery sales performance using KPIs, pivot charts, and slicers. 🛠️ Excel | Data Analysis | Dashboard Design | Retail Analytics

A web-based project that predicts suitable locations for placing new Blinkit stores

This project aims to provide insights into various aspects of the business, such as sales performance, item types, outlet locations, and customer preferences.

Interactive Power BI dashboard for Blinkit sales analysis, featuring KPI tracking, outlet performance insights, sales trends, and product category analytics.

This Power BI dashboard project offers a comprehensive analysis of Blinkit, India's Last Minute App, focusing on sales performance, customer satisfaction, and inventory distribution. The interactive dashboard transforms raw data into actionable insights, enabling data-driven decision-making for business optimization.

Power BI dashboard analyzing Blinkit's sales by category, outlet size, and location with key insights.

End-to-End Blinkit Grocery Sales Analysis using SQL, Python, and MySQL

About Blinkit Dashboard

End-to-end Data Analytics project using Python, SQL, and Power BI for cleaning, analysis, KPI generation, and business insights.

Customer Behavior Analysis Dashboard using SQL, PostgreSQL, and Power BI.

Power BI dashboard project analyzing Blinkit's sales data. Includes KPIs like total sales, average rating, and top-performing outlets, with interactive visuals for better business insights.

AI-powered quick commerce intelligence system that tracks products, pricing, and availability across Blinkit, Zepto, and Instamart.

Restaurant Ratings Analysis using Microsoft Power BI

A/B Test Analysis: Did Blinkit's Scream for Ice Cream campaign outperform flat discounts? Statistical analysis using Python, SQL & visualizations.