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Case Studies

AI-Driven Automation in Global Trade Finance

AI-Driven Automation in Global Trade Finance

A UK-based financial institution sought to automate document processing in global trade finance, which involved handling large volumes of Letters of Credit (LC MT700), invoices, packing lists, and compliance checks. Manual verification was time-consuming, error-prone, and non-scalable.

Challenges

  • Extracting data from scanned financial documents.
  • Identifying inconsistencies across multiple trade documents.
  • Ensuring compliance with global sanction lists and trade regulations.

Solution

Azure Software Pvt. Ltd. developed an AI-powered automation platform utilizing OCR, NLP, and Image Processing to streamline trade finance operations. The system:

  • Extracts key data fields from scanned documents.
  • Cross-verifies document details to detect contradictions (e.g., invoice mismatches).
  • Performs compliance checks against globally published sanction lists.
  • Enhances document quality using image processing for improved OCR accuracy.

By automating document validation and compliance checks, the platform reduced processing time by 60%, improved accuracy, and ensured regulatory compliance, transforming trade finance operations for the client.

Client: Fintech Company, UK

Technology Used

Python Java OpenCV Tesseract MongoDB Celery and AWS