Scalable Payment Processing System for Enhancing Logistics and Customer Experience

The client operates an eCommerce platform with a cash-on-delivery model that experiences a significant increase in data volume, with request rates rising from 20,000 to 70,000 requests per day. The existing system faces performance bottlenecks, request handling limitations, and issues with duplicate request processing, impacting order management, customer communication, and logistics efficiency. The system's scalability and stability are insufficient for current and future demands, hindering the client’s ability to enhance customer experience and operational efficiency.

A mid-sized eCommerce platform specializing in cash-on-delivery transactions, managing high-volume shipment tracking, remittances, and customer engagement through integrated communication channels.

• Increase system request handling capacity from current levels to support at least 70,000 requests per day with room for further growth.
• Reduce duplicate request processing by implementing robust request deduplication mechanisms.
• Enhance system stability and performance through codebase refactoring and optimization on both server and integrated platforms.
• Ensure seamless integration with external eCommerce platforms for real-time invoice and order data transfer.
• Automate and improve reporting capabilities, including performance analytics and transportation logistics reports.
• Enable the system to process and validate large volumes of data efficiently and reliably to ensure prompt order processing and customer communication.

• Enhanced request logging and monitoring to analyze and increase request throughput.
• Request deduplication mechanisms to prevent duplicate processing and ensure data consistency.
• Refactored data processing logic to process logged data first and then update the database, improving system throughput.
• API optimization and code base reinforcement on the server side to manage resource constraints.
• Integration with external eCommerce platforms (such as Shopify) using APIs and webhooks for real-time invoice and order data synchronization.
• Automated generation of performance reports and logistics documentation using custom scripting and platform features.
• Comprehensive documentation for system design, rules, and best practices to facilitate future development and maintenance.

• eCommerce platform APIs for order and invoice data synchronization
• Webhook implementations for real-time event notifications
• CRM and analytics tools for reporting and customer engagement
• Database systems for storing logs and processed data

• System scalability to support at least 70,000 daily requests with capacity for future growth
• Performance optimization to reduce request processing time and response latency
• Reliability and stability to minimize system downtime and errors
• Security measures for sensitive transaction data
• Maintainability through comprehensive documentation and automated testing

The implementation of this scalable, optimized system is expected to support high-volume request processing with at least 70,000 requests per day, significantly reducing system bottlenecks and duplicate processing issues. This will enhance order accuracy, improve customer satisfaction through timely updates, and strengthen logistics coordination. The automated reporting capabilities will enable better decision-making and operational transparency, leading to increased revenue opportunities and improved client trust.