Generative AI for EDI File Migration: Ensuring Data Integrity and Operational Efficiency with Azure OpenAI

Description

This platform uses Generative AI to validate EDI file migrations by comparing original and migrated datasets. Integrated with Azure OpenAI, it analyzes key data segments to ensure consistency in purchase orders, invoices, and shipping notices. The solution identifies discrepancies, safeguarding data integrity and improving operational efficiency during system migrations.

Practical Use Case and User Story

As a business, I need a system to validate EDI file migrations. The platform uses NLP and LLMs to compare original and migrated files, checking for segment matches and trading partner accuracy. Validation is triggered via HTTP requests, with files retrieved from Azure Blob Storage. It generates detailed markdown reports on discrepancies and stores results in the cloud for real-time client access. This ensures accurate and error-free data migration.

Tech Stack Involved

  • Azure Services (Functions, OpenAI, Blob Storage, API Management)
  • Python (Workflow management, file handling, Azure services interaction)
  • Markdown Output (Formatted validation results)

Demo

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