Cost Document Generation System for Supply Chain Team
Developed an automated cost document generation system for supply chain operations, streamlining document creation and processing workflows with parallel task execution.
The Challenge
A supply chain team needed to generate complex cost documents regularly, involving data aggregation from multiple sources, calculations, and document formatting. The manual process was time-consuming and error-prone. They required a system that could automate document generation, handle large datasets efficiently, and process multiple documents in parallel to meet tight deadlines.
Our Approach
Built Next.js frontend application for document management and user interface
Designed Supabase-based database schema for storing document templates, data, and generated documents
Implemented Supabase object storage for document file management
Created Dockerized backend API layer for business logic and document processing
Developed Google Cloud Run services for batch and parallel task processing
Implemented parallel processing architecture to handle multiple document generations simultaneously
Built document template engine supporting dynamic data insertion and calculations
Created automated workflow for data ingestion, processing, and document delivery
Designed monitoring and logging system for tracking document generation status and performance
Results
Automated document generation process, eliminating manual work
Significantly improved processing speed through parallel task execution
Reduced errors and inconsistencies in document creation
Enabled scalable processing to handle increasing document volumes
Improved team productivity by freeing staff from routine document tasks