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.
A native Android Quick Commerce application (Blinkit-inspired) built with Kotlin, Firebase Auth, and Local Data Persistence.
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
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.
Multi-platform quick commerce AI assistant built on order history (Instamart, Zepto, Blinkit) to predict pantry needs and automate WhatsApp restocking.
Add a description, image, and links to the quickcommerce topic page so that developers can more easily learn about it.
To associate your repository with the quickcommerce topic, visit your repo's landing page and select "manage topics."