Case Study: a leading engineering and manufacturing company boosts panel schedule extraction accuracy with Infrrd IDP Platform

Infrrd IDP Platform Extracts Panel Schedule Data to Automate RFP Processing

Infrrd worked with a leading engineering and manufacturing company, a Fortune 50 industrial business operating across aviation, power generation, healthcare, renewable energy, transportation, and finance. The company needed to automate extraction of data from free-flowing panel schedule documents in large RFP packages that could span hundreds of pages, but traditional OCR and text analytics could not handle the varying formats, scanned and machine-generated files, and difficult page identification.

Infrrd implemented its IDP platform with custom AI and machine learning layers for ingestion, pre-processing, page classification, table structure extraction, OCR, NLP-based field extraction, validation, and multi-page aggregation. With this solution, the company raised extraction accuracy to 90% and cut processing time for an average 200-page document from weeks to just a few minutes, helping increase proposal win chances by at least 40%.