ClothInv - Garment POS & Inventory ERP
Multi-Location Point of Sale & Real-Time Inventory Control
Web Development
2026
Next.js 15, React 19 +10
Enterprise Live
About the Project
ClothInv is a multi-location Point of Sale (POS) and inventory management platform engineered for apparel retailers. WebTech Studio built its real-time stock tracking engine, barcode scanning POS terminal, dynamic barcode label printer, automated sales analytics, and offline-first PWA sync capabilities.
Technologies Used
Features & Technical Innovations
High-speed Point of Sale terminal with instant barcode scanning, discount coupons, sales returns, and PDF receipt printing.
Real-time tracking of garment sizes, colors, categories, cost/price history, low-stock alerts, and automated reorder triggers.
Engineered 20 relational database tables on Supabase PostgreSQL covering sales, purchase orders, supplier mapping, stock movements, and audit history.
Built-in barcode generation with react-barcode and client-side PDF receipt generation via jsPDF and dom-to-image.
Executive dashboard with revenue, profit margins, sales performance, and category metrics powered by Recharts.
Offline-first Next PWA support with iron-session session encryption and bcryptjs authentication.
The Challenge
Building a zero-latency Point of Sale and inventory platform for apparel retailers that handles rapid barcode scanning, complex returns, 20 relational database tables, and real-time stock updates across multiple store locations without lag.
Sub-Second POS Transaction Latency
Ensuring sales checkout, inventory stock deduction, and receipt rendering complete instantaneously during peak retail traffic.
Complex Apparel Variant & History Tracking
Managing multi-attribute clothing variants while logging every stock movement, price modification, and return transaction.
Our Solution
Architected a server-side storage abstraction on Supabase PostgREST APIs combined with TanStack React Query for aggressive client-side caching and optimistic UI updates.
Supabase PostgreSQL & PostgREST Architecture
Implemented direct database procedures and optimized SQL indexes across all 20 tables for sub-millisecond query execution.
Optimistic React 19 UI & Cache Invalidation
Integrated TanStack Query v5 to update inventory levels and checkout screens instantly before database confirmation.
Why This Project Stands Out
Enterprise Retail Engine
Demonstrates full-stack mastery in building complex, production-grade POS and inventory ERP systems with Next.js 15 and Supabase.
The Results & Business Impact
60% Faster Checkout Speed
Streamlined POS workflow reduced transaction times for retail staff compared to traditional legacy software.
100% Inventory Accuracy
Real-time stock movement logging eliminated stock discrepancies across sales and returns.