Shopline Inventory Automation System — AI-Powered Book Inventory Management Platform
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About This Project
Built a full-stack inventory automation platform that replaces manual Shopline admin panel navigation with a streamlined single-page interface — reducing
inventory update time from 3-5 minutes to under 30 seconds per item.
The system enables warehouse staff to scan ISBN barcodes or manually search products and instantly update stock levels. All changes sync automatically to the
client's Shopline e-commerce store through headless browser automation with Google Authenticator 2FA handling.
Key Features Delivered:
• Real-time dashboard with KPI stat cards, inventory distribution chart, and live activity feed
• Camera-based ISBN barcode scanner with ISBN-10/ISBN-13 validation
• One-click stock operations (Add, Deduct, Set) with audit trail and duplicate detection
• Automated Shopline integration via Playwright browser automation
• AI-powered inventory assistant built with Anthropic Claude SDK for analysis and restock recommendations
• Bulk CSV import with dry-run preview, validation, and batch execution
• Complete stock movement history with advanced filtering by date, user, and operation type
• Role-based access control (Admin, Manager, Staff) with configurable permissions
• RESTful API with Sanctum token authentication and rate limiting
• Mobile-responsive dark-themed UI with premium glassmorphism design
Tech Stack:
Laravel 12 • PostgreSQL 16 • Redis 7 • Livewire 4 • Alpine.js • Tailwind CSS 4 • Chart.js • Html5-QRCode • Playwright • Laravel Horizon • Anthropic Claude SDK •
Laravel Sanctum
This project was built for a UK-based e-commerce client managing a large book catalog on Shopline, where API access was unavailable on their plan — requiring a
creative browser automation approach for inventory synchronization.
Tech Stack
Key Highlights
Responsive Design
Pixel-perfect across all devices
High Performance
Optimized for speed
Scalable Architecture
Built for growth
Security First
Enterprise-grade security
Implementation Details
This project was built using modern development practices and industry-standard technologies. The implementation focused on creating a robust, maintainable, and scalable solution that meets current business needs while allowing for future growth.
The architecture emphasizes clean code principles, proper separation of concerns, and comprehensive testing to ensure reliability and performance.
const project = {
name: 'shopline-inventory-automation-system-ai-powered-book-inventory-management-platform',
status: 'completed',
quality: 'production-ready'
};
Project Details
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