Retailed.io - Inventory Management
Muhammad Ali Abbas
Overview
Designed and developed Retailed.io, a high-performance SaaS platform for enterprise inventory management, tailored to meet the needs of B2B clients managing large-scale inventory operations. The platform serves over 200 businesses, each handling an average of 10,000+ inventory items, while supporting advanced search and bulk import capabilities at scale.
Key Features
Enterprise Inventory Management: Track and organize inventory seamlessly.
Scalable Search Engine: Supports 3,000,000+ product variants with advanced filtering.
Bulk Import System: Processes up to 100,000 entries per CSV file with progress tracking.
Real-Time Profit Analytics: Calculates profits dynamically for quick decision-making.
Multi-User Collaboration: Enables teams to manage inventory collaboratively.
Automated Background Processing: Improves efficiency with asynchronous workflows.
Responsive Dashboard: Optimized for seamless use on any device.
Technical Highlights
Frontend Development:
Built with Next.js for server-side rendering and enhanced performance.
Styled with TailwindCSS for responsive, visually appealing UI.
Backend Development:
Utilized trigger.dev for reliable and efficient background job processing.
Designed a scalable search engine to handle millions of inventory variants.
Implemented robust bulk import functionality with progress indicators.
Enabled real-time data synchronization for consistent updates across users.
Database Management:
Built on a scalable PostgreSQL architecture to handle millions of records.
Advanced caching mechanisms for optimal performance with large datasets.
Automation and State Management:
Leveraged trigger.dev for automated workflows and background tasks.
Used React Query for state management, enabling real-time updates on the dashboard.
Deployment:
Deployed the frontend on Vercel for global scalability and quick performance.
Architecture
Frontend: Next.js with responsive design for performance and accessibility.
Backend: Scalable services for search and bulk imports, using Node.js and trigger.dev.
Database: PostgreSQL, optimized for high-volume operations.
Job Processing: trigger.dev for asynchronous tasks like bulk imports and analytics.
Caching and Load Balancing: Designed to handle concurrent users efficiently.
Results
Successfully manages inventory for over 200 B2B clients, each with 10,000+ items on average.
Handles 3,000,000+ product variants within the search engine without performance degradation.
Efficiently processes bulk imports of 100,000+ entries from CSV files.
Provides real-time profit analytics for better business insights.
Delivers a seamless user experience with a responsive and high-performance interface.
Technologies Used
Frontend: Next.js, TailwindCSS
Backend: Node.js
Database: PostgreSQL
Job Processing: trigger.dev
Search Engine: Custom implementation
State Management: React Query
Deployment: Vercel
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Posted Nov 30, 2024
A scalable inventory management platform serving 200+ B2B clients, managing 3M+ variants, and enabling bulk imports and real-time analytics.
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