End-to-end analytics suite for Blinkit, Swiggy, and JioMart — 100k+ orders analyzed to forecast demand, optimize SLAs, and reduce churn (+37% growth impact)
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Sep 9, 2025 - Jupyter Notebook
End-to-end analytics suite for Blinkit, Swiggy, and JioMart — 100k+ orders analyzed to forecast demand, optimize SLAs, and reduce churn (+37% growth impact)
Android-first Compose Multiplatform quick-commerce demo with an offline catalog, persistent crate, transparent pricing, deterministic checkout recovery, and Room-backed orders.
Quick-commerce delivers in 10 minutes. But the customer spends 15 minutes deciding what to order. The bottleneck isn't the rider — it's the shopping itself.
Platform connecting local shops for ultra fast cheap delivery... Created at https://coslynx.com
Business analytics & data visualization project analyzing Blinkit’s quick commerce model-delivery speed, urgency marketing, customer behavior, and revenue insights using Tableau.
Quick-commerce fashion platform delivering clothing to customers in 30 minutes. Built with React, Node.js, Express, and MongoDB.
Score your quick commerce cities by ad performance. Know where to scale, hold, or cut budget.
AI-powered quick commerce intelligence system that tracks products, pricing, and availability across Blinkit, Zepto, and Instamart.
This is the server side code for a real life quick commerce application clone
Customer & competitor intelligence from 9,000+ public app reviews — daily scraping, Claude-labeled complaint themes, spike alerts, auto-written CEO digests, churn & segmentation. Near-zero cost.
End-to-end quick commerce analytics project leveraging Excel, SQL, Python, and Power BI for sales analysis, customer insights, and business performance monitoring.
End-to-end quick commerce analytics comparing Zepto vs Blinkit — SQL, Python (t-test, chi-square, K-Means, RFM, SPC, ARIMA), Excel, Power BI 7-zone war room
DailyDelish: Fresh Produce, Your Way
AI-powered system for optimizing inventory, demand forecasting, and supply chain in quick commerce dark stores
🏗️ System architecture study comparing e-commerce vs quick-commerce — focusing on backend architecture, data consistency, scalability, and operational complexity.
Fully-featured e-commerce platform designed for performance and scalability. The backend is powered by Django Rest Framework (DRF), ensuring secure and efficient API endpoints, while the frontend is built with React to deliver a seamless, responsive user experience.
A full-stack quick-commerce web app — get anything delivered in 10 minutes
This repository contains the complete codebase, datasets, and model artifacts for a master’s thesis project focused on optimizing last-mile delivery operations in quick commerce. The project develops and compares advanced courier assignment and routing strategies for urban scenarios.
End-to-end Quick Commerce Analytics Platform built using MySQL, SQL, Power BI, and DAX. Features database design, analytical SQL views, KPI tracking, and interactive dashboards for revenue, delivery operations, and inventory intelligence.
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