By 9 AM, today’s quotes are halfway done. Liquid 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 Liquid 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.
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.
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).
Quote five RFQs per week today? Liquid 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.
Liquid Quote ships as a working app at liquid-quote.vercel.app with everything below. 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, not an unread inbox.
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. No rebuilding the proposal by hand.
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.
When a new RFQ matches a drawing you've quoted before, we surface it as 'same as LQ-XXXX from 3 months ago' for one-click duplication.
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.
Per-customer view: RFQ count, win rate, avg order size, typical materials, last contact. Click any customer to see their full history.
The shop owner's view. Win rate by customer, material, lead-time bucket, price band. Becomes invaluable once you have 100+ saved quotes.
Paste your shop URL once. We scrape the site for services, equipment, materials, and certifications. The assistant uses that context on every answer.
One-click denormalized CSV with op-level pricing inherited from the closest match. Drop into Job Boss or any shop ERP.
Skip the CSV intermediary. Authenticated push of structured quote data directly into your Job Boss instance.
Every uploaded PDF / photo stored with the quote. View the original from any saved record, even months later.
The matcher is only as good as your prior-quote library. Onboarding digitizes your existing quotes so the tool earns its keep on day one.
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.
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.