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.

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

A modern shopping application based on flutter.

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.

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.

Multi-platform quick commerce AI assistant built on order history (Instamart, Zepto, Blinkit) to predict pantry needs and automate WhatsApp restocking.