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Order Processing Automation
Automated order processing system that increased accuracy and boosted monthly orders by 300+ through intelligent API integrations and error handling.
Project Overview
Developed an intelligent order processing automation system that streamlines the entire order lifecycle from placement to fulfillment. The system integrates with multiple APIs, implements smart routing logic, and features comprehensive error handling with automated recovery mechanisms. It includes real-time monitoring, performance analytics, and automated reporting capabilities that significantly improved processing efficiency and order accuracy.
Challenges
- Managing complex order workflows with multiple dependencies
- Ensuring data integrity across distributed systems
- Handling high-volume order processing during peak times
- Implementing real-time error detection and recovery
Solutions
- Built asynchronous processing pipeline with Celery
- Implemented database transactions for data consistency
- Created auto-scaling infrastructure with Docker
- Developed comprehensive monitoring and alerting system
Results & Impact
Increased monthly order processing by 300+
Improved order accuracy to 99.8%
Reduced processing time by 70%
Achieved 99.9% system uptime
Project Details
Duration
5 months
Team Size
4 developers
My Role
Lead Backend Developer & Automation Specialist
Technologies Used
Python
FastAPI
PostgreSQL
Redis
Docker
Celery
SQLAlchemy
Pydantic