Case study

Omnichannel Restaurant Management & Real-Time POS Platform

A highly ambitious, production-ready full-stack ecosystem engineered to bridge the gap between customers, servers, and kitchen staff through real-time communication, centralized ordering, and point-of-sale workflows.

4 phases13 technologies
Omnichannel Restaurant Management & Real-Time POS Platform
  1. 01
    Phase 1: Architectural Evolution with TypeScript

    Transitioning to Strict Type Safety and Enterprise Architecture

    Marking a major milestone in my evolution from a frontend developer into a full-stack engineer, I initiated this project to master strict type safety using TypeScript across an entire application ecosystem. I designed a schema-driven backend using MongoDB and utilized Prisma ORM to map relational-like data structures safely, implementing secure JWT-driven session boundaries to handle multiple user permission levels securely.

  2. 02
    Phase 2: Real-Time Sync & Complex Data Wrangling

    Implementing WebSockets and Managing Advanced UI Data States

    To seamlessly coordinate client orders with the kitchen, I integrated WebSockets (Socket.io) to enable bi-directional, sub-second communication channels. This allowed incoming orders to pop up instantly on kitchen screens without manual page refreshing. On the front end, I built a high-density Point of Sale (POS) interface, leveraging TanStack Table and TanStack Query to manipulate massive product grids, handle rapid invoice filtering, and manage real-time global UI state transitions.

  3. 03
    Phase 3: Omnichannel Feature Engineering

    Developing End-to-End Kitchen, Server, and Self-Ordering Pipelines

    I dedicated intense effort into transforming this platform into a comprehensive omnichannel suite. I successfully engineered individual dedicated interfaces for digital self-ordering, tableside order taking by waitstaff, automated kitchen display queues, and traditional counter POS checkout systems. To support a real-world launch, I uploaded food assets securely via AWS S3 and deployed the live services onto an AWS EC2 instance managed stably under PM2 process managers.

  4. 04
    Phase 4: Beta Assessment & Future Horizons

    Perfecting the Beta and Preparing for Production Localization

    The application is currently operating in a fully functional Beta phase, with all core routing, database mutations, and networking sockets working stably. To elevate the platform to a polished production release, I plan to integrate raw ESC/POS thermal receipt printing drivers and build localized customer order customizers. This project remains a core testament to my ability to self-start and scale highly complex, asynchronous software architectures independently.