Case Study

A Feature-Rich Mobile Marketplace for Buying & Selling Cars

A user-friendly automotive mobile application designed to make the car buying and selling process simple, transparent, and efficient. The platform allows users to browse a wide range of vehicles with detailed specifications, list their own cars for sale in just a few steps, and compare different options side-by-side to make confident decisions.

React NativeFirebaseTwilioFigmaAWSPostgresFastAPI
A Feature-Rich Mobile Marketplace for Buying & Selling Cars

Project Overview

This mobile marketplace application is designed to make the process of buying and selling cars simple, transparent, and efficient for users and dealers. The app enables users to browse a wide range of vehicles with detailed specifications, compare options side-by-side, shortlist favorites, and list their own cars for sale in just a few easy steps.

The client operates a network of used car dealerships and wanted to go digital — but existing platforms like OLX and CarDekho were saturated, impersonal, and didn't offer the trust-building features that a branded dealership experience requires. They needed their own app where they controlled the listing quality, verification process, and customer experience.

We built a React Native cross-platform app (iOS + Android from a single codebase) with a FastAPI backend, Postgres database, Firebase for real-time messaging and push notifications, and Twilio for OTP verification and automated appointment reminders. AWS hosts the infrastructure with auto-scaling configured for traffic spikes during promotional campaigns.

With secure flows, advanced search filters, real-time updates, price insights, and an intuitive mobile-first interface, the platform streamlines the entire journey — from initial discovery to final transaction. It provides a seamless experience for buyers, sellers, and dealerships, making vehicle trading accessible and hassle-free.

The Challenges

The problem we faced.

Sellers found it difficult to upload images, add specifications, and set competitive prices — the existing process required filling out 25+ fields manually, uploading photos through a clunky web form, and pricing was a guessing game with no market data.

Users struggled to find the right cars due to limited filtering options and unclear categorization — search returned results sorted by recency only, with no way to filter by budget, fuel type, transmission, ownership history, or distance from the user.

Missing specs, pricing uncertainties, and weak UI reduced user confidence — many listings had incomplete information, no inspection reports, and no way to verify seller claims about mileage or accident history.

There was no in-app communication between buyers and sellers — interested buyers had to call the number listed (which was often wrong or not picked up), and there was no record of conversations or negotiations.

Dealer listings and individual seller listings looked identical, giving no advantage to verified dealerships who invested in quality inspections and offered warranties.

There was no scheduling system for test drives — buyers would call, agree on a time verbally, and frequently face no-shows from both sides because there were no reminders or confirmations.

The Solutions

What we built instead.

Enhanced vehicle discovery with advanced filters (brand, model, year, mileage range, price range, fuel type, transmission, number of owners, location radius), smart recommendations based on browsing history, and a trending/featured cars section curated by the dealership team.

A streamlined car listing flow with step-by-step guided entry (photos → basic info → specs → pricing), auto-fill for common car models using VIN lookup, bulk photo upload with automatic compression and ordering, and AI-suggested pricing based on market comparables.

A side-by-side comparison tool allowing users to compare up to three vehicles simultaneously on specifications, images, pricing, and inspection scores — helping buyers make confident purchase decisions with data rather than guesswork.

In-app messaging powered by Firebase Realtime Database with read receipts, image sharing for additional vehicle photos, and conversation history — keeping all buyer-seller communication organized, traceable, and within the platform.

Verified dealer badges and inspection report integration — dealership listings show a trust badge, professional inspection summaries, warranty information, and EMI calculators — giving verified sellers clear differentiation from individual listings.

An integrated test drive scheduling system with calendar-based availability, automated SMS reminders via Twilio, in-app confirmations, and a feedback form post-test-drive — reducing no-shows by 60% and increasing test-drive-to-purchase conversion.

Project Outcomes

The results, measured after launch.

Four numbers that summarize what changed once the system went live.

55%
increase in user engagement
38%
faster search and browsing experience
30%
growth in seller listings
45%
increase in test drive bookings

Tools & Technologies

What this project was built with.

React NativeFirebaseTwilioFigmaAWSPostgresFastAPI

More Work

Other real projects.

Start Here

Bring us the problem.
We'll bring back a scoped plan.

A structured conversation about your product — your users, your workflows, your constraints. We scope what should be built first, what can wait, and what it takes to ship it.