Job shop quoting software takes an RFQ email with its drawings and specs and turns it into a ready-to-price draft, so your estimator starts from facts instead of a blank page. It pulls out part numbers, quantities, material, finish and due dates, flags what is missing and finds similar jobs you have run before. Your estimator still sets every price and lead time.
This guide is for owners and estimators at machine shops, fab shops and contract manufacturers who spend too many hours reading RFQs before they can price a single line. It walks through the RFQ inbox step by step, from the email to the follow-up. For the wider picture of AI in a plant's office, see our hub on AI for manufacturers, and for AI in a small business generally, our guide to AI for small business.
Why do quotes sit in the inbox?
Because reading the RFQ can take as long as pricing it. A request arrives with a PDF drawing, a STEP file, a spreadsheet of quantity breaks and a note buried in the email body about a special finish. Before anyone can price it, someone has to open every file and pull the facts out by hand.
In many shops, the estimator is also the buyer, the scheduler and half of quality. RFQs stack up behind real work. The customer who wanted an answer this week gets one late, or not at all. Fast shops win more work, but most small shops cannot hire their way to faster quotes.
How job shop quoting software handles an RFQ
Job shop quoting software logs each RFQ, reads the attachments into one draft sheet, flags what is missing, finds similar past jobs and builds a draft quote with the price and lead time left blank. The software does the reading and sorting, and your estimator does the pricing and the deciding.
- Logs the request. Every RFQ that hits the quote inbox gets a record: customer, buyer, date received and the due date they asked for.
- Reads the attachments. It pulls part numbers, revisions, quantities, material, finish and the tolerances called out on the drawing into one draft sheet.
- Flags what is missing. No finish spec? Quantity breaks unclear? An old revision on one drawing? It lists each gap and drafts a polite question back to the buyer for your estimator to send.
- Finds similar past jobs. It searches your job history for the same part number or a close match by material and size, and shows what you quoted, what it ran and how long it took.
- Builds the draft quote. The fields are filled in your format, with the price and lead time left blank for a person.
From there, the estimator checks the specs against the drawing, prices each line, sets the lead time, adds any exceptions and approves it. Only then does the quote go out.
How do you respond to an RFQ well?
Knowing how to respond to an RFQ comes down to three things: respond fast, answer every line, and say clearly what you are quoting and what you are not. A quick, complete quote with honest exceptions often beats a cheaper one that arrives late or leaves gaps.
A clean response to an RFQ usually includes:
- Price per line and per quantity break, set by your estimator.
- A lead time your scheduler can actually hold.
- Material and finish as quoted, with any substitutions spelled out.
- Exceptions to tolerances or notes the shop cannot meet.
- How long the quote is good for, and who to call with questions.
Software helps with speed and completeness. The judgment on price, capacity and risk stays with your people.
What stays with your estimator?
Everything that commits the shop. The AI drafts and reminds; it never quotes a price, promises a ship date or says the shop can hold a tolerance. Price and margin, lead time, capability, exceptions, no-quotes and terms all stay with your people.
- Price and margin. Your estimator prices every line.
- Lead time. Your scheduler confirms what the floor can do.
- Capability. Whether the shop can make the part, to that tolerance, in that material, is a person's call.
- Exceptions and no-quotes. A person decides what to except and when to pass.
- Terms. Payment terms, deposits and changes to the customer's terms stay with the owner.
Customer drawings get extra care. The software gets only the access its job needs, following the security principle of least privilege (opens in a new tab), every view and edit is logged in a record that shows any later change, and it runs on private and on-premise models rather than public AI tools. Customer drawings and files are never used to train AI models, and customer data is never sold, in line with the SBA's warning (opens in a new tab) against feeding proprietary information into AI tools. Export-controlled or defense work stays out of the AI unless the right controls are in place for it, and your team decides which jobs those are.
Off-the-shelf manufacturing quoting software or a build?
Manufacturing quoting software off the shelf works when your quotes fit its boxes. Many job shops do not fit, and generic machine shop quoting software expects your rates, routings and history in its own format. When your pricing mixes machine hours, per-piece work and outside processing, a build that follows your estimator usually fits better.
You may price by machine hour on some work and per piece on other work, add outside processing from several vendors, and keep your best history in an old system or a spreadsheet nobody wants to move.
Boxed tools make your estimator think their way; a build follows yours. We would build a quoting engine around how your estimator already thinks: the RFQ inbox, the draft sheet, the past-job search, the approval step and the follow-up. It would connect to the tools you already use, such as your email, your job history and your ERP, with AI doing the repeat reading and people making every call. On our Solutions page, that is a full web application with logins for estimators and managers. If you want AI that reads RFQs and past jobs across your whole ERP and scheduling system, that fits multi-feature platforms and AI agents.
Depending on the investment package you choose, you get either the right to use the software we build for you or full ownership of it. Your data, drawings and logins stay yours. We follow the same process every time: a written spec first, features built in parallel, separate AI reviewers, machine checks and a walkthrough with you. Our post on how we build software with AI explains it. For more on the build-or-buy choice, see custom AI development, and if your history lives in an aging system, read legacy software modernization. Our guide to connecting business software covers linking the tools you keep.
Kansas City machine shops quoting for regional suppliers
The industrial parks in Olathe and Lenexa, and the shops along the river on the Missouri side, quote for a wide mix of regional customers. Aerospace suppliers want tight tolerances and full paperwork. Ag equipment makers send big quantity breaks before planting season. Automotive suppliers want fast turns on brackets and fixtures.
Each of those buyers writes RFQs differently. One sends a clean spreadsheet. Another sends a scanned drawing and a two-line email. Job shop estimating software built for your shop looks up those patterns in your own history, so the draft for a repeat aerospace customer already lists the certs they always ask for. The estimator in Lenexa still decides whether the job is worth taking. They just get to that decision sooner.
A morning in the RFQ inbox
This is an illustration, not a customer story. Redbud Precision is a small machine shop with one estimator, Marta, who also runs purchasing.
Overnight, four RFQs arrive in the quote inbox. By the time Marta opens her screen, the first three have drafts. The first is a repeat part, and the system shows each past run of it. The second is missing a finish spec, and a polite question to the buyer is drafted and waiting. The third calls out a tolerance tighter than anything the shop has held on that material, and the system flags it for her. The fourth comes from a customer your team marked for export-controlled work, so a routing rule sends it straight to Marta and the AI never opens it.
Marta prices the repeat part, sends the finish question and decides to no-quote the tight-tolerance job. When a quote goes quiet past the follow-up date she set, the system drafts a short check-in for her to approve. Our guide to quote follow-up automation shows the same pattern for contractors. Once orders arrive, expediting purchase orders covers chasing your own suppliers.
Frequently asked questions
How do you respond to an RFQ?
Read every line and attachment, ask about anything missing, then send a quote with prices, lead times, exceptions and a validity date. Respond as fast as you can without guessing, and have a person approve every number.
How do you quote manufacturing jobs?
Start from the drawing and quantities, estimate material, setup and run time, add outside processing, and compare with similar past jobs. Your estimator then sets the price and lead time, and the owner signs off on anything unusual.
What is an RFQ in sales?
An RFQ, or request for quote, is a buyer asking several suppliers to price the same work. The buyer compares the answers on price, lead time and how well each supplier answered.
What is RFQ automation?
RFQ automation is software that logs incoming requests, reads the attachments, drafts the quote sheet and handles polite follow-up. People still price the work and approve every quote before it goes out.
Next step
Book a free workflow consult. We will sit with your estimator, trace a few recent RFQs from the inbox to the sent quote, and mark where the hours go. Then we will show you what a quoting engine fitted to your shop would look like and which of our Solutions tiers it fits.
About the ScaleAlphaAi team
We are a Kansas City company that designs and builds AI agents and custom software for small businesses, trades and growing firms. We write these guides from our work with owners and office teams: what AI handles well, what stays with your people, and how to start with one workflow.
Meet the team
