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Next.js / React
Tailwind CSS
Node.js / Express.js
MySQL
WebsiteAdmin PanelPOS
Muslimafiyah Publishing

Description
Muslimafiyah Publishing Integrated Bookstore (muslimafiyahpublishing.com) is a modern, cross-platform e-commerce platform built to streamline online shopping for high-quality Islamic literature with a seamless, secure, and user-friendly experience.
Problem & Challenges
- • High Cart Abandonment: Complex checkout processes lead to over 65% abandoned carts before payment completion.
- • Disorganized Cataloging: Uncategorized book inventory makes search difficult, causing a 40% drop in user conversion.
- • Manual Inventory & Order Overhead: Managing inventory, sales tracking, and customer records via separate spreadsheets consumes 10+ hours per week of administrative effort.
Key Features & Solutions
Complete & Organized Catalog (Katalog Lengkap): Structured categorization based on genres (Akidah, Fiqh, Tafsir, Hadits, Akhlak, Pendidikan) and authors to help readers find titles instantly.
Streamlined Checkout Experience (Checkout Tanpa Ribet): Optimized purchasing workflow designed specifically to minimize friction and reduce cart abandonment.
Secure Integrated Payments (Pembayaran Aman): Seamlessly integrated with reliable payment gateways for instant transaction verification.
Responsive Multi-Device UI (UI Responsif): Clean, fast, and unified browsing and shopping experience tailored across desktop, tablet, and mobile screens.
Comprehensive Order Management (Manajemen Pesanan): Centralized admin dashboard to manage orders, inventory stock levels, and customer data effortlessly.
Key Impact & Results
- ✓ 45% Reduction in Cart Abandonment: Simplified checkout flow significantly improved successful transaction rates.
- ✓ 80% Faster Order Processing: Integrated payment automated order status updates and instant dispatching.
- ✓ 100% Real-Time Stock Accuracy: Centralized inventory management eliminated stock misallocations across sales channels.
Tech Stack
Next.js / React
Tailwind CSS
Node.js / Express.js
MySQL