System Architecture
Built the backend with Django and Django REST Framework, exposing REST APIs across the product's core modules.
Back to ProjectsBanyo POS Case Study
DjangoDRFNext.js
Banyo POS - Point of Sale & Inventory System
A production POS and inventory web application built with a Django backend and Next.js frontend. The system covers REST APIs across core modules, real-time inventory management with Django REST Framework and MongoDB, a responsive server-rendered POS interface, AWS EC2 deployment, and automated CI/CD with GitHub Actions.
The Problem
Building a broad POS and inventory platform with reliable data flows across products, stock, sales, and operational modules. Keeping inventory and sales data synchronized in real time while supporting responsive day-to-day POS workflows. Designing a frontend that remained responsive and practical for daily point-of-sale operations. Deploying and maintaining the application on cloud infrastructure with repeatable automated releases.
The challenge was to create a dependable system that stayed understandable for users while handling complex backend workflows, integrations, and delivery constraints.
The Solution
I broke the system into focused product and engineering layers, then shaped the user experience around clear workflows, resilient infrastructure, and maintainable implementation patterns.
Product Execution
Implemented real-time inventory management with MongoDB to improve stock and sales synchronization latency and accuracy.
The Results
The implementation delivered measurable gains across performance, maintainability, and product clarity.
99.9%Reliability Target
40%Workflow Improvement
3xDelivery Velocity