Writing

How to turn an RFQ into a priced quote automatically (GovCon)

In most GovCon shops, the single most expensive repetitive task is the same one: turning a request for quote into a compliant, priced bid package. It lands as a messy PDF, the clock starts, and someone reads it, pulls the line items, prices each one, checks the compliance boxes, and assembles the response. By hand that is 20 to 60 minutes every time, and it gates the entire pipeline. Win rate aside, you cannot bid what you cannot quote in time.

This is exactly the kind of task worth automating first: rules-based, high-frequency, digital input, and a bottleneck the rest of the work waits on. Here is how to break it into pieces a machine can actually do.

Step 1: Intake and read the RFQ

The package arrives as email plus attachments. The automation pulls the attachments, runs text extraction on the PDFs (including scanned ones via OCR), and lands the raw text somewhere structured. The goal of this step is narrow: get the document into machine-readable form. Do not try to be clever yet.

Step 2: Extract the line items and key terms

Now parse the structure: line items, quantities, part or NSN numbers, delivery dates, place of performance, and the clauses that decide compliance. This is where modern language models earn their keep. They are good at reading a non-standard layout and returning clean fields. Validate the output against simple rules (quantities are numbers, dates are dates) so a bad parse gets flagged instead of silently shipped.

Step 3: Price against your catalog

Match each line item to your catalog or supplier data, apply your markup rules, and compute the totals. The matching is the hard part: part numbers are inconsistent and descriptions vary. A combination of exact-match on identifiers and similarity search on descriptions handles most of it, and anything below a confidence threshold gets routed to a human instead of guessed.

Step 4: Check compliance

Run the requirement clauses against a checklist: required certifications, set-aside eligibility, delivery terms you can actually meet, and any disqualifiers. The automation should not decide whether to bid. It should surface, in plain language, what the RFQ requires and where you do or do not clear the bar, so the human decision is fast and informed.

Step 5: Assemble the package

Drop the priced, validated data into your quote template and produce the response document plus an internal summary. What used to be 20 to 60 minutes of retyping becomes a few minutes of review. The person stops being a copy machine and goes back to being the one who decides.

The point is not the tool. It is the leverage.

This is the automation that runs my own GovCon operation. Turning an RFQ into a compliant, priced bid package went from 20 to 60 minutes by hand to under 5, automated end to end. Those minutes did not vanish; they got redeployed into bidding more work. That is what one leverage point does when you build it all the way and let it run.