Cheezious
Online Food Ordering System
Complete online food ordering platform handling thousands of simultaneous orders across multiple restaurant branches. Features POS integration, real-time delivery tracking, kitchen display screens, and comprehensive admin dashboards.
The Challenge
Cheezious, one of Pakistan's fastest-growing restaurant chains, needed a fully custom online ordering system to handle thousands of simultaneous orders across multiple branches. Their existing setup couldn't scale and lacked real-time coordination between kitchens, delivery riders, and customers. Every branch ran its own disconnected workflow, so a rush-hour spike at one location had no visibility for regional management, and delivery riders were dispatched manually over phone calls — slow, error-prone, and impossible to audit after the fact.
The Solution
Built a complete food ordering ecosystem from scratch using Next.js for the storefront and admin dashboards, NestJS for high-performance APIs, PostgreSQL for reliable order data, and Redis for caching and real-time session management. Implemented Socket.IO for live order tracking, integrated POS machines for in-store coordination, and built kitchen display screens that update in real time. Order state moves through a single source of truth in Postgres, with Redis absorbing the read-heavy load from live dashboards so the write path stays fast during peak hours. Deployed on AWS with Docker for seamless scaling, and instrumented every branch's queue depth so regional managers can see bottlenecks as they form instead of after a customer complains.
Key Features
Real-time order tracking with live map updates
POS machine integration for in-store order coordination
Kitchen display screens with automatic order routing
Multi-branch management with centralized admin dashboard
Scalable API architecture handling thousands of concurrent orders
Real-time analytics and sales reporting with Chart.js
Results & Impact
The platform successfully handles thousands of simultaneous orders during peak hours across all Cheezious branches. Reduced order processing time by 60% and delivery coordination errors by 80%. The system processes orders for one of Pakistan's most popular restaurant chains with 99.9% uptime.
Technology Stack
Technologies I Used
Next.js
4 years of experience
Next.js is my primary framework for building production-grade web applications. Over 4 years of experience using Next.js across 12+ projects, I have d...
Node.js
4 years of experience
Node.js is my backend runtime of choice, with 4 years of experience building scalable server-side applications. I develop RESTful APIs, real-time WebS...
NestJS
3 years of experience
NestJS brings enterprise-level structure to my backend work. Over 3 years I have relied on its modular, TypeScript-first architecture — decorators, de...
TypeScript
4 years of experience
TypeScript is integral to every project I build. Across 4 years I have used it on every layer of the stack — React and Next.js frontends, NestJS and N...
PostgreSQL
2 years of experience
Relational data integrity matters — which is why PostgreSQL backs the majority of my production work. I design normalised schemas, write complex queri...
AWS
2 years of experience
Every production application I ship lands on AWS. Across 2 years of hands-on cloud work, I manage infrastructure spanning EC2 compute instances, S3 st...
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