AI-Powered Information Extraction and Matchmaking | by Umair Ali Khan | Jan, 2025

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With the increasing efficiency of Large Language Models (LLMs), they are becoming increasingly popular for information extraction from business documents such as legal contracts, invoices, financial reports, and resumes, to name a few. The information extracted from multiple sources could be used for matchmaking and recommendation systems.

Some of the applications of information extraction and matchmaking include:

• Automatic request-for-quotation (RFQ) generation by extracting information from customers’ requests
• Extracting key usage patterns from customer’s data to provide product recommendations
• Extracting key information from tenders and matching it with company profiles to find the potential bidders
• Extracting key information from a company’s invoices and sales documents to generate sale-purchase reports
• Extracting key information from purchase orders to facilitate inventory and supply chain management
• Matching individuals on dating or matrimonial platforms based on their profiles, etc.