Quote twice as many RFQs. Win 20%+ more jobs per week.
By 9 AM, today’s quotes are halfway done. Quote starts before your quoter does — every email RFQ is pre-extracted, pre-classified, and priced against your prior work, ready before the coffee’s brewed.
Eight RFQs landed overnight — three from new prospects, one from your biggest customer asking for a quick turn, four from regulars. Your quoter walks in with coffee and opens Quote.
Every email is already a draft. Spec extracted from the attached print. BOM classified by line. Prior quotes ranked. Sourced parts pre-priced from McMaster.
They filter by “most urgent” — the big-customer quick-turn. The spec card is populated. They skim the dimensions, accept the AI’s pricing on five of seven BOM lines, type their own price into the sixth, flag the seventh for a vendor callback. Mark it QUOTED. Hit “Generate proposal PDF.” Branded letter, line items, terms — ready to send.
Eleven minutes from inbox to customer. They move to the next one.
By 9:15 AM, all eight are quoted. The shop owner notices the inbox count is zero for the first time in three years.
You’re losing real money to your quoting bottleneck.
Job-shop quoting is genuinely hard. Every order is a one-off custom part. Your senior quoter has to read the print, pull tolerances, decide what to fabricate vs. source, look up vendor prices, dig through file cabinets for what you charged last time, and write the proposal. The math says 4–8 hours per RFQ. The customer says 24 hours, max.
Time your senior quoter spends on a single custom part — reading the print, pricing, writing it up.
Of inbound RFQs that never get answered because the team is buried in the backlog.
Industry baseline. Quoting faster than the next shop is the single biggest lever to move it.
From a buried inbox to a sent proposal — without the rep ever opening their email client.
Five steps, every step built around the rep, not the buyer. Tailored to your shop’s actual workflow during onboarding.
We watch the rep's email. Every new RFQ with a print attached becomes a draft in their queue, automatically.
Dimensions, material, tolerances, finishes, BOM. Every line auto-tagged FAB / SRC / HW with reasoning.
The matcher ranks your closest prior quotes. Vendor lookup pulls live pricing for sourced parts.
Inline edit every BOM field, reclassify in one click, override pricing, accept the AI's match or substitute your own.
One click generates the customer-facing PDF on your letterhead. Or push to Job Boss via CSV (or direct API).
It’s not about saving four hours. It’s about doubling your throughput.
Quote five RFQs per week today? Quote lets you quote ten. At the industry-baseline 20% win rate, that’s one extra job per week.
Average sheet-metal job: $4K–$8K. One extra win per week is $200K–$400K of new revenue per year — from the pipeline you already have.
The labor savings are real too. But the line that matters to a shop owner is throughput, because more throughput means more wins, and more wins means more cash.
- Quoter cost (loaded)$35/hr
- Hours saved per RFQ4 hrs
- RFQs per week5 → 10
- Labor savings~$36K / yr
- Extra wins (20% rate)1 / wk
- New revenue (avg $6K/job)$300K / yr
The full quoting workbench, tailored to your shop at onboarding.
Onboarding is hands-on — we wire the modules your shop actually uses, ingest your historical quote corpus, and tune the matcher to your fab-vs-buy conventions.
Connect the rep's inbox once. Every RFQ with a print attached becomes a pre-extracted draft. Rep starts the day at a populated queue.
Drop in a 50-line assembly drawing. We pull every line — item #, part #, qty, material — plus the top-level spec.
Snap the print on the shop floor and upload. We convert HEIC to JPEG server-side so the photo reads cleanly.
Every BOM line tagged in-house fabrication, purchased from vendor, or commodity hardware. One click to reclassify.
Your won-quote library is the moat. Similarity-ranked references with prior pricing, status, and reasoning on every new RFQ.
One-click web search across McMaster, Grainger, MSC, DigiKey, Mouser. Real SKUs, product URLs, and prices when listed.
Add lines, delete lines, edit description / part # / qty / price inline. Totals recompute live across FAB / SRC / HW.
One-click generates the customer-facing quote document on your letterhead — cover, scope, line items, terms.
Every RFQ auto-saved with the original print. Search by customer, part, drawing, material. Status workflow: DRAFT → QUOTED → WON / LOST.
Mark a quote WON or LOST and it flows into the matcher library. Future RFQs learn from every closed deal.
Ask in plain English: 'win rate on 304 SS?', 'show me last week's quotes for Apex.' RAG over your full history, library, and shop profile.
Denormalized op-level CSV ready to drop in. Or authenticated push of structured quote data directly into Job Boss.
Every quote lands in your Zoho — and follows itself up.
The same pipeline, end to end: Liquid Quote reads any-format RFQ, standardizes it, and holds it for review — then hands it to Zoho, where the quote is filed and the deal is captured on submit, with follow-up running automatically.
Ingest any format
However the RFQ arrives, Quote reads it — email, PDF, prints, and spreadsheets.
Extract & standardize
BOM classified, prior quotes matched, live vendor pricing — pulled into one standard structure.
Hold for review
Draft queueEvery quote waits for your quoter to confirm — nothing goes out unchecked.
Into Zoho CRM
Auto follow-up
Status tracked and reminders sent automatically, so no quote goes cold.
Learning loop — every WON / LOST outcome feeds back into your prior-quote library, so the next quote is priced sharper than the last.
Most AI quoting tools chase the wrong shop.
Every other AI quoting tool goes after CNC machining first because the parts are juicier. Sheet metal — the brackets, the enclosures, the weldments, the assemblies that the real economy runs on — gets ignored.
We built for the messy reality: customer sends a PDF print, not a STEP file. Two-page drawing with a BOM table on page two. Material called out in the title block. Tolerance bands that vary by feature.
No CAD parser required. No expensive Lantek license. Drop in the file the customer actually sent.
Quoting software for manufacturing, answered.
What's the best quoting software for manufacturing?
The best quoting software for a manufacturer is the one that fits how you actually quote — custom, one-off jobs priced off prints and prior work, not a fixed catalog. Liquid Quote is built for exactly that: it reads incoming RFQs, extracts the BOM, and prices each line against your own won-quote library, so quotes go out in minutes instead of hours.
Is Liquid Quote RFQ software or RFQ management software?
Both. It handles RFQ intake (auto-reading emails, prints, and PDFs into structured drafts) and RFQ management (a searchable history of every request with status workflow from DRAFT → QUOTED → WON/LOST, plus a win/loss feedback loop that improves future pricing).
Does it work for machine shops and job shops?
Yes — machine shops, sheet-metal fabricators, and custom job shops are the core use case. Every order is a one-off, priced from a print, and that's precisely the world Liquid Quote was built for. It exports to Job Boss via CSV or direct API.
How is this different from generic sales quote software?
Generic sales quote software assumes you're selling from a price list. Manufacturing quoting is the opposite — every RFQ is custom, and the value is in reading the print, classifying the BOM, and pricing against your prior jobs. Liquid Quote does that manufacturing-specific work; a generic quote tool can't.
How much does it cost and how fast can we start?
Plans start at $399/mo for solo shops and scale to unlimited quotes for larger teams (see pricing above). Onboarding is fast — connect an inbox, load a few prior quotes to seed the library, and you're quoting the same week.
See it in 6 minutes.
Drop in a sample print and watch a real BOM extract, classify, and price itself against a working historical library. No login, no demo data fields.