An industrial manufacturer grows revenue by winning RFPs issued by construction companies. A typical RFP document is 200 pages long, with multiple tables, engineering drawings, and text.
Extracting the information from the RFPs necessary to bid on projects was a labor-intensive, manual process -- you can’t just automate the ability to read data from a complex table and validate that data against a master catalog.
But the firm was able to remove the manual processing bottleneck and automate the data extraction process.
Read the use case and see how the firm:
• Increased RFP win rate by 40%.
• Increased accuracy and reduced need for human corrections.
• Decreased processing time from weeks to minutes.
Infrrd. Redefine Possible.