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Invoice Intelligence Platform (IIP)

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The Invoice Intelligence Platform (IIP) is an enterprise-grade, AI-powered accounts-payable automation system. It streamlines the invoice processing lifecycle by automating data extraction, validation, anomaly detection, and ERP synchronization.

📖 Documentation

Detailed documentation is available in the docs/ directory:

🚀 Overview

The platform ingests vendor invoices, extracts structured data utilizing OCR and Large Language Models, and validates the extracted entities against SAP purchase orders. A machine-learning anomaly detection model evaluates the transaction to determine if human intervention is required. Approved invoices are automatically synchronized back to SAP, while analytical data is pushed to a Snowflake data warehouse for business intelligence.

Core Capabilities

  • Intelligent Extraction: Combines Azure Document Intelligence with LLMs to precisely extract line items, taxes, and vendor details from unstructured PDFs.
  • Automated Validation: Integrates with ERP systems (SAP) to validate PO numbers, vendor existence, and financial limits.
  • Anomaly Detection: Utilizes an Isolation Forest ML model to score invoices for anomalous patterns, mitigating fraud and processing errors.
  • Orchestration: Employs Azure Durable Functions for stateful, resilient workflow execution, including manual human-in-the-loop approval wait states.
  • Natural Language Analytics: Features an NL-to-SQL interface powered by LLMs to query the Snowflake data warehouse using natural language.

🛠️ Technology Stack

  • Frontend: React, Vite, TypeScript, Tailwind CSS
  • Backend: Python 3.12, FastAPI, Pydantic v2
  • Cloud (Azure): Durable Functions, Cosmos DB, Blob Storage, Key Vault, Document Intelligence, Azure OpenAI, Managed Identity
  • Data & ML: Snowflake, scikit-learn, joblib
  • DevOps: GitHub Actions, OpenTelemetry, Prometheus, Grafana

🛡️ License

This project is licensed under the MIT License - see the LICENSE file for details.

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