AI Quoter for Manufacturers — Cut Quote Turnaround from Hours to Minutes.
Custom AI quoters for mid-market manufacturers in Georgia and the Southeast. Reads the inbound RFQ, runs the takeoff, prices against your sheet, drafts the branded quote, and routes to a human for approval. Built around how your shop already operates — not a platform that tells you how to work.
The problem a quoter solves
Quoting is the most expensive part of mid-market manufacturing that nobody wants to talk about. A senior estimator spends two or three hours per RFQ reading drawings, cross-referencing a pricing sheet, checking lead times against the floor, and drafting the response. Multiply that by 20–30 inbound RFQs a week and you have one of your best operators doing pattern matching full time.
The result is the thing nobody says out loud in the Monday meeting: RFQs sit unanswered for days. Customers bid out the same job to three competitors. Your close rate suffers not because your pricing is wrong, but because someone else got there first. That is a quoter problem, not a sales problem.
An AI quoter is a multi-step system that takes the pattern matching off the estimator's desk, runs it in under ten minutes per RFQ, and hands back a drafted, branded quote that a human approves with one click. The shop stays in control. The response time drops from days to the same business day. The estimator's time moves from the middle of the funnel to the hard edges — the unusual jobs, the strategic accounts, the quote strategy itself.
End-to-end workflow — what the build actually does
Every step below is a real piece of the system. Nothing is hand-wavy. Nothing "just uses AI." If you want to see the same shape in tier-overview form, the three-tier breakdown lives on what we build.
Plans arrive
An RFQ hits the shared estimating inbox — a PDF drawing, a spec sheet, an email with a Bill of Materials, or a customer portal submission. The agent watches the inbox (or the folder, or the portal webhook) and catches it immediately. No waiting until someone logs in Monday morning.
AI takeoff and extraction
The agent reads the document, extracts the variables your pricing logic needs — part dimensions, material specs, tolerances, quantities, delivery dates, shipping address — and normalizes them into structured data. If a drawing requires a CAD-level takeoff, the agent calls into your existing takeoff tool or hands that slice to a human and waits.
Pricing against your sheet
The extracted variables get priced against your existing pricing logic — whether that is an Excel sheet, a Google Sheet, a table in Business Central, or a custom pricing service. Your rules, your margins, your exceptions. The agent does not replace the logic. It reads it.
Branded quote drafted
The agent drafts the quote in your existing template — your letterhead, your terms, your payment and delivery language, your cross-sell language. The numbers are filled in. The formatting is clean. The quote reads like it came from your sales team because, in effect, it did.
Human review and approval
The draft lands in an operator dashboard (or in your CRM, or in email — your call). The estimator or sales lead reviews it, adjusts anything that needs adjusting, and approves with one click. The approved quote goes out under your domain in your template.
Sync back to CRM and ERP
The quote, line items, extracted variables, and approval metadata sync back into your CRM (HubSpot, Salesforce, Pipedrive) and, where useful, into your ERP (Business Central, NetSuite, SAP). No double entry. No reconciliation later.
Integrations — built on top of what you already run
We do not ship a platform you have to migrate to. The quoter integrates with the tools your team uses today. These are the most common surfaces we connect to on manufacturing engagements.
Microsoft Dynamics 365 Business Central
Pull customer records, BOM data, and item master pricing. Push confirmed quotes back as sales quotes or sales orders. The integration runs through Business Central's REST API — no middleware license required.
NetSuite and SAP Business One
For manufacturers running either of these ERPs, the quoter reads customer, item, and pricing records and writes quotes back into the native sales quote object. Approvals in your ERP stay in your ERP.
ClickUp and Monday.com
For shops that run production tracking in a project management tool rather than an ERP, the quoter creates the downstream job card, assigns it to the right team, and tags it with the extracted variables so the floor has what it needs before the quote is even accepted.
Excel and Google Sheets pricing models
A surprising number of mid-market manufacturers run their pricing out of a carefully tuned spreadsheet — sometimes built over a decade by the estimating lead. We read those sheets natively. No forced migration.
HubSpot and Salesforce
Quotes land as deals with line items, stage, and owner set correctly. The customer history follows. Your sales team sees the quote in their normal pipeline view, not in a parallel AI tool.
Email inboxes and customer portals
For manufacturers that receive RFQs over email or through a customer-facing web form, the agent watches that inbox or portal and starts the workflow the moment an RFQ arrives.
Running something that isn't on this list? Most internal systems have an API — or a database we can read directly. We scope the integration surface up front so there are no mid-build surprises.
Typical engagement shape
Most manufacturer quoter builds land in Tier 2 of our engagement model — 2 to 4 coordinated agents, 2 to 3 integrations (CRM + ERP + pricing sheet is the common shape), 3 to 6 weeks of build time, and a branded quote output at the end. Build fee typically runs $18,000 to $28,000, with a $3,500 monthly Optimize retainer covering hosting, API costs, uptime monitoring, and ongoing tweaks.
The retainer matters. AI systems that touch pricing logic and CRM data are not fire-and-forget — models change, ERPs get upgraded, pricing sheets get restructured. The retainer keeps our incentives aligned with yours: we make money when the system keeps working, not when we disappear after the build.
For a deeper read on how the number is set and what moves it, see our AI consulting cost guide. For how we run a build end to end — scope, phases, approval gates — see how we work.
What we need from you
The fastest builds are the ones where the client side shows up prepared. Here is what makes the difference.
A pricing sheet that already works
If your pricing logic today is 'the estimator knows how to price it,' we need to make it explicit first. That is often a light consulting engagement on the front end. Once the logic is written down, the agent can apply it.
Sample RFQs and historical quotes
Give us 20–50 past RFQs and the quotes that went out in response. That is how we calibrate the extraction and the pricing logic. The more representative the sample, the better the first version of the system performs.
An estimating lead who is in the loop
The strongest deployments are the ones where the senior estimator co-designs the system with us. Their pattern recognition gets encoded, and they become the approval surface in v1. Over time, the volume moves to the agent and their time moves to the edge cases.
Clear ownership of who approves quotes
Before we ship, there needs to be an answer to 'who clicks approve on this quote?' for every category of job. If that answer is not clear today, the scope document calls it out and we resolve it before go-live.
Why this works for Georgia manufacturers specifically
North Georgia has one of the densest mid-market manufacturing corridors in the Southeast — fabricators and job shops clustered around Winder, Commerce, Gainesville, and the I-85 spine, plus the larger concentrations in metro Atlanta and around the university economies in Athens. Most of these shops are between 30 and 150 employees. Most of them still quote through a senior estimator and a spreadsheet. All of them feel the RFQ response-time pressure.
We scope and build locally. Discovery and kickoff happen on the shop floor when that is the right thing to do — we drive to Winder, Commerce, Gainesville, Buford, or anywhere in the metro. Seeing how estimators actually work, what a drawing pile looks like on a Monday morning, where the pricing sheet lives, is how the scope gets written right the first time. It is not a selling point on a slide deck — it is the reason the build works.
If your shop is in the Atlanta metro, the Atlanta service-area page has the full breakdown. For Barrow County manufacturers — Winder especially — see the Barrow County page. Athens and the wider north corridor are covered on the Athens and North Georgia pages.
Frequently asked questions
How long does an AI quoter take to build for a mid-market manufacturer?
A typical AI quoter lands in Tier 2 — 3 to 6 weeks of build time from kickoff. That includes scoping, document extraction setup, pricing logic calibration against your existing sheet, integration into your CRM or ERP, and a branded quote output. Add 3–5 business days on the front end for the scope document itself. Tier 3 quoters with full ERP integration and role-based dashboards run 6–12 weeks.
What does an AI quoter build cost?
A Tier 2 quoter for a mid-market manufacturer typically runs $18,000–$28,000 in build fee with a $3,500/mo Optimize retainer. The variance on the build fee depends on how many products or SKUs the pricing logic has to cover, how structured the inbound RFQ is, and how deep the integration to your ERP or CRM needs to be. Simpler single-product quoters can come in as a Tier 1 ($6,000–$12,000, $1,500/mo Maintain retainer). Full ops-platform quoters with nested agents run Tier 3 ($30,000–$75,000, $7,500/mo Operate retainer). See the full cost breakdown on our pricing guide.
Do we need to replace our ERP or pricing spreadsheet?
No. The whole point is leverage on top of what you already run. We integrate with Business Central, NetSuite, SAP Business One, ClickUp, Monday.com, HubSpot, Salesforce, and custom Excel or Google Sheets pricing models. Your pricing logic stays where it is — we wire the agent into it so the math is the same math your sales team already trusts.
What about drawings, PDFs, and specs the agent has to read?
We handle document extraction as part of the build. The agent reads PDF drawings, specification sheets, and emailed RFQs, pulls out the key variables (dimensions, tolerances, materials, quantities, due dates), and feeds them into the pricing logic. For drawings that require CAD-level takeoff, we can integrate with existing takeoff tools or scope a custom extraction layer. We do not ask you to hand-key data into a new system.
Will the AI quote be sent automatically or does a human review it?
A human reviews every quote before it goes out — that is the default, and it is the right default. The agent drafts; your estimator or sales lead approves with one click (or edits first). Over time, some clients move routine quote categories to auto-send with exception-based human review. That is a decision you make after the system has been in production long enough to trust.
We already have a takeoff or estimating tool — can the agent work with it?
Yes. If you are running something like PlanSwift, Stack, Bluebeam, or a custom internal estimator, we integrate rather than replace. The quoter's job is orchestration — read the inbound RFQ, call your existing tool for the takeoff, pull pricing from your sheet or ERP, draft the quote in your template, and route to the approver.
What kind of manufacturer is this built for?
Mid-market manufacturers — roughly $10M to $250M in revenue, 20 to 200 employees, quoting anywhere from 10 to 200+ custom or semi-custom jobs per week. We see the strongest fit in fabricators, job-shop CNC, custom millwork and cabinetry, packaging, precision machining, and build-to-order assemblies. If your estimator is a senior person spending hours per quote on pattern-matching work, you are the buyer.
What happens when pricing or materials change?
The agent reads from whatever system of record holds your pricing — usually your existing spreadsheet or ERP. You update the pricing where you already update it today, and the agent picks up the new numbers on the next quote. We do not build a parallel pricing database for you to maintain. That would be a worse system.
Ready to see what a quoter looks like for your shop?
Describe the RFQ process — what comes in, who touches it, how you price it, what goes out. Our scoping agent will show you concretely what a build would look like, which tier it lands in, and what's realistic for your timeline.