Task Automation System for a Logistics Company

Developed a task automation system using Django for a logistics company. The system automates the scheduling and tracking of shipments, sending real-time updates to clients and internal teams. It includes automated invoice generation, email notifications for shipment status changes, and data synchronization with the company's ERP system. This automation reduces manual work, enhances accuracy, and improves the overall efficiency of logistics operations.

Tools and skills used:

Django: Developed a robust and scalable backend.

Celery: Implemented asynchronous task queues for handling background tasks.

Redis: Used as the message broker for Celery to ensure high performance.

RESTful API: Created APIs for real-time data exchange and integration with the company's ERP system.

PostgreSQL: Managed complex data with a reliable relational database.

SMTP: Automated email notifications for shipment status changes.

Invoice Automation: Developed scripts for generating and sending invoices automatically.

This automation reduces manual work, enhances accuracy, and improves the overall efficiency of logistics operations.