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Intelligent Financial Document Retrieval System

Client

Financial conglomerate based in California

Business Problem

The client was looking for a way to index available documents which were spread across multiple storage systems

Objective

Retrieve the right set of documents from a variety of storage systems

Abzooba’s Solution:

  • Created an integrated data warehouse and migrated financial documents from different repositories (including web-only documents)
  • Natural language processing with deep learning components have been used to build an intelligent retrieval system
  • Document are decomposed into components using Tesseract OCR
  • The system converts each paragraph, picture, table, chart and infographic into vector representations using deep learning
  • Provides top matches with probability scores
  • Content summarization is done of each document

Business Benefits:

85% increase in the productivity of marketing and content creation teams

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