How small manufacturers automate RFQ quoting without replacing their team

RFQ automation means software reads each request for quote as it arrives, finds similar past jobs, applies current material prices and drafts a quote for someone to check. Your estimators stop assembling quotes and start reviewing them. Pricing decisions stay with your team.

In most growing manufacturers, quoting is a bottleneck hiding in plain sight. Every request for quote means digging through past jobs and checking today's raw material prices by hand, while supplier and vendor questions pile up in the same inbox. It's skilled work, but most of the hours go on gathering information, not judging it.

Why quoting is a good place to start

• It happens every day. Small savings on each quote add up quickly.

• It follows patterns. Most RFQs look like jobs you've quoted before.

• Speed matters. A quote that goes out the same day reaches the buyer while they're still interested.

• The expertise stays put. Your team still makes the calls; they just stop doing the legwork.

What an RFQ assistant actually does

1. Watches the inbox. It picks out RFQs from everything else, including the ones that arrive as attachments.

2. Reads the request. Parts, quantities, materials and deadlines, however the customer has written them.

3. Finds similar past jobs. It looks up what you quoted for comparable work before.

4. Applies today's prices. It uses current raw material prices, not last quarter's.

5. Drafts the quote. Ready for someone on your team to check, adjust and send.

6. Answers the routine questions. Supplier and vendor questions with a clear answer get answered; the rest go to the right person with the context.

Where AI helps, and where it doesn't

Not every step needs AI. Reading an RFQ does, because every customer words it differently. Looking up current material prices doesn't: that's a fixed rule, and automation does it more cheaply and predictably. (If you want the general rule, see AI or automation? Three questions to decide.)

What stays with your team

The judgment. Margins, rush jobs, a customer you want to win, a material that's about to jump in price. The assistant drafts; your estimator decides. Nothing goes to a customer without a person approving it.

That's also why this doesn't replace anyone. It replaces the part of the job people complain about: the digging, the retyping and the waiting.

A real example

We built an AI assistant for a manufacturer with exactly this problem. Every request for quote meant digging through past jobs and checking current raw material prices by hand, while supplier and vendor questions piled up in the inbox.

The assistant watches the inbox, picks out RFQs and the questions that matter, builds quotes from past orders and live raw material prices, and answers routine supplier and vendor questions. Now quotes are drafted as soon as an RFQ lands, ready for someone to check, and the team handles only what needs a person. You can read the full manufacturing RFQ case study.

How to get started

1. Collect a sample. Pull a few dozen recent RFQs and the quotes you sent for them.

2. Write down your pricing rules. If three estimators would price the same job three ways, settle that first. Automating an inconsistent process just makes the inconsistency faster.

3. Check where your prices live. Material prices in a spreadsheet, an ERP or a supplier portal can all work, as long as they're kept current.

4. Start with drafts, not sending. Let the assistant draft and your team approve. Trust builds from there.

5. Measure before and after. Time per quote and time to send are the two numbers that matter.

Frequently asked questions