quick-commerce

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.

🛒 A production-grade 10-minute grocery delivery platform. Features a Next.js monorepo powering Customer, Admin, and Delivery apps with real-time Socket.io tracking.

IIM SMF 2026 Research Proposal & Empirical Literature Base | Q-Commerce Unit Economics & Last-Mile Logistics in India

Score your quick commerce cities by ad performance. Know where to scale, hold, or cut budget.

Quick-commerce fashion platform delivering clothing to customers in 30 minutes. Built with React, Node.js, Express, and MongoDB.

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.

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

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.

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 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.

Excel-based analysis of 15-minute delivery SLA performance for Zepto & Instamart

Built an executive-level Quick Commerce War Room using Python, Pandas, Power BI, and DAX to analyze 500K+ orders, customer behavior, product performance, and delivery operations.

Interactive Power BI dashboard analyzing 8,500+ Blinkit sales & delivery records — revenue trends, order performance, and category-level insights

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