Cost Document Generation System for Supply Chain Team

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

• Moved recurring cost document preparation into a repeatable application workflow
• Used parallel task execution for batches that previously required serial handling
• Reduced copy-and-format inconsistencies in generated documents
• Created a processing path that could scale with larger document volumes
• Freed staff from routine document assembly so they could focus on review and exceptions

Technology Stack