Smeron
Automotive

CarpHD

A cross-platform automotive platform offering advanced dealer services and buyer tools.

  • Data intensive
  • UI/UX case study
  • CarpHD — screen 1
  • CarpHD — screen 2
  • CarpHD — screen 3

Technologies used

  • Next.js
  • React Native
  • Node.js
  • MongoDB
  • Redis

Overall project details

CarpHD is a comprehensive automotive ecosystem designed to guide car owners through the entire vehicle lifecycle. From initial research and dealer comparison to service tracking and community engagement, CarpHD centralizes the fragmented car ownership experience into a unified digital platform. Built with Next.js 14 and Jotai, the system provides high-fidelity specifications for thousands of vehicles and real-time inventory tracking for dealerships.

Target audience

  • Prospective Car Buyers

    Users researching ratings, comparing models, and seeking showroom deals.

  • Current Car Owners

    Individuals tracking service history and seeking authorized maintenance centers.

  • Automotive Enthusiasts

    Contributors writing reviews and participating in community forum discussions.

User experience & workflow

The platform is built on a "Lifecycle Hub" philosophy, where the interface adapts based on whether the user is in the "Research", "Purchase", or "Maintenance" phase.

Technical architecture

CarpHD uses a decentralized data strategy, fetching vehicle specifications from multiple global APIs while maintaining a high-performance local state using Jotai.

Developer role & focus

  • High-Fidelity Specification Parsing

    Engineering robust parsers for diverse automotive data sources to ensure consistent vehicle specs.

  • Real-time Inventory Sync

    Implementing WebSocket-based synchronization between dealership management systems and the consumer frontend.

  • Performance State Management

    Leveraging Jotai for atomic state updates in complex multi-step comparison tools.

  • Cross-Platform UI/UX

    Designing a fluid experience across web and mobile that handles dense automotive data without clutter.

Technology stack

Core stack

Frontend
Next.js 14, React Native, TypeScript, Jotai, Tailwind CSS
Backend
Node.js, Express, Redis (Inventory Caching)

Infrastructure

APIs
DealerTrack API, Vehicle Specification APIs

Communication structure

The platform ensures a responsive automotive experience by using REST for data configuration and WebSockets for real-time inventory and delivery updates. The 7-Stage Automotive Lifecycle AI-assisted vehicle recommendations based on user lifestyle and budget. Parallel processing of technical specs for thousands of models in real-time. Connecting users with verified dealerships for "Best Price" quotes. Streamlining the documentation for loans and insurance within the portal. Monitoring vehicle health and mileage via integrated OBD-II data. Predictive maintenance reminders based on actual driving data. Dynamic pricing models to track car depreciation and optimal resale windows.

Next projectGTU Website Redesign
Read case study