Why the current RFQ process slows teams down
RFQ PDFs may contain line items, buyer references, delivery requirements, terms, contact information, and notes in different layouts. Copying everything manually is slow and error-prone.
RFQ PDF Data Extraction
RFQ PDF Data Extraction for Faster Quotation Preparation
Reduce manual copying from RFQ PDFs and attachments by structuring relevant information for review and quotation preparation.
Designed forsales teams that receive buyer requirements in PDF files and attachments
- Browser-based workflow
- Branded PDF quotation
- Human review before sending
A more consistent path from request to quotation
RFQ AutoPilot helps identify and structure useful information from RFQ document workflows so the user can review it, correct it, and continue into the quotation builder.
Key benefits
What this workflow helps your team improve
Reduce repetitive copying from PDF documents
Bring important RFQ details into a structured review step
Correct extracted content before it enters the quote
Move from document review to quotation preparation faster
Keep source attachments available for verification
Avoid treating AI extraction as automatic approval
Workflow
How RFQ AutoPilot supports the process
Open the email and PDF
Start with the original buyer request and source document.
Extract candidate details
Identify relevant line items, quantities, references, dates, and terms.
Verify against the source
Review every important field and correct any missing or uncertain information.
Build the quotation
Use approved data to prepare the branded quote and response.
Review is required before every quotation is sent
Verify extracted content, technical requirements, quantities, pricing, totals, lead time, payment terms, delivery conditions, compliance, and all buyer-specific information against the original RFQ.
FAQ
Questions about rfq pdf data extraction
Clear answers about the extension, workflow, pricing, and review responsibilities.
Is PDF extraction always perfect?
No extraction system should be treated as perfect. Scanned files, unusual tables, low-quality documents, and complex formatting can require manual correction.
Should I verify extracted quantities and prices?
Yes. Quantities, part numbers, specifications, dates, prices, and commercial terms must be checked against the original RFQ before sending a quotation.
Can it replace technical document review?
No. It supports data handling but does not replace engineering, legal, quality, compliance, or technical review.
Free plan available
Add to ChromeTry the RFQ-to-quote workflow in Chrome
Install the extension and review the actual workflow before choosing a paid plan.