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Designed for efficiency and scalability, the system ensures rapid order processing, dynamic inventory updates, and insightful analytics for modern e-commerce platforms.\n\nFeatures\n - Real-Time Order Processing: Utilizes Redis Streams to handle continuous incoming orders.\n - Inventory Management: Real-time stock adjustments with Redis Sets and Lists, with low-stock alerts via Pub/Sub.\n - Analytics \u0026 Insights: Tracks top-ordered items and inventory trends using Redis Sorted Sets.\n - Alert System: Sends email notifications for low-stock items.\n - Data Persistence: Achieved with Redis RDB snapshots and AOF logging for reliability.\n\nTechnologies Used\n - Redis: In-memory database for ultra-fast data operations.\n - MongoDB: Primary data store for order details.\n - Python: Backend logic, including inventory updates and alerting mechanisms.\n\nContributions\n - Mariam Abidi: Managed Redis Streams, order tracking, and analytics.\n - Suhas Vittal: Handled inventory uploads, stock updates and state management.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmariamabidi%2Forder-management-site","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmariamabidi%2Forder-management-site","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmariamabidi%2Forder-management-site/lists"}