quickcommerce

Real-time stock checker across Indian quick-commerce apps — Zepto, Blinkit, Swiggy Instamart, BigBasket

A native Android Quick Commerce application (Blinkit-inspired) built with Kotlin, Firebase Auth, and Local Data Persistence.

Opti-Rider is a smart solution for gig riders in the quick commerce industry. It integrates multiple partner platforms into a single application, allowing riders to manage all their deliveries from one place—saving time, reducing app-switching, and improving overall efficiency.

QuickPick is a React + TypeScript frontend for a Blinkit‑style grocery app, combining customer, inventory, and delivery interfaces in one codebase with shared APIs, auth, global state, Stripe payments, and polling‑based real‑time updates.

Analyzed large-scale transactional data to build a pricing intelligence project for quick-commerce, evaluating whether discounts genuinely drive demand or reduce revenue efficiency. Uncovered convenience-led customer behavior, weak price sensitivity, and data-backed margin optimization opportunities using SQL and analytics.

ASP.NET Core Web API backend for RapidMart, a full-stack quick-commerce platform with JWT authentication, role-based authorization, inventory, orders, payments, returns, refunds, and notifications, currently working on multi-store model.

A modern shopping application based on flutter.

Blinkit quick commerce analysis to recommend stock quantities, identify products needing attention, and determine root causes of sales changes

End-to-end quick-commerce analytics project covering dark-store operations, inventory intelligence, fulfilment SLA, last-mile economics and modelled contribution profitability using Python, SQL, DuckDB and Power BI.

Break-even and unit-economics model for a quick-commerce dark store, built in Excel using Swiggy Instamart's disclosed Q1 FY27 financials, with live sensitivity analysis and scenario testing.