AI quoting software for manufacturing vs. a custom quote assistant

What buyers mean by AI quoting software

Search for AI quoting software for manufacturing and you'll find tools that do very different jobs. Some read a 3D model and estimate the cost to make the part. Some read the RFQ email and pull out the details. Some are quoting modules inside an ERP with no AI at all. One is a marketplace that quotes you, not your customers.

This guide sorts them out for a 40 to 400 person job shop, contract manufacturer or distributor. It uses each vendor's own pages as checked on Oct. 22, 2026, then covers when a custom quote assistant is the better fit. We don't sell any of these products.

Why quote speed matters

Buyers want fast answers. In a 2020 survey of more than 400 U.S. part buyers run by Paperless Parts, a quoting software vendor, 67% said they expect a quote in less than 24 hours. Only 6% said they would wait longer than three days.

Shops that run well also win more of what they quote. In Modern Machine Shop's 2016 Top Shops benchmark, the top shops had a quote-to-book ratio of 61%, against 50% for other shops surveyed. That's an old number and it doesn't prove speed is the cause. It does show the gap is real.

Quote-to-book ratio, top shops vs. others

Modern Machine Shop Top Shops benchmarking survey, 2016. Share of quotes that became orders.

1. Top Shops2016 benchmark61%
2. Other shops2016 benchmark50%

Source: Modern Machine Shop, 2016 Top Shops benchmarking executive summary.

And estimators are hard to hire. The Manufacturing Institute and Deloitte project that manufacturing could need as many as 3.8 million more workers between 2024 and 2033, and that 1.9 million of those jobs could go unfilled. That's an estimate for all of manufacturing, not estimators alone. But anyone who has tried to replace a 25-year estimator knows the feeling.

The main kinds of AI quoting software

A few details from the vendors' own pages are worth knowing.

• Paperless Parts says its AI models are trained on millions of part files and lists live integrations with ERPs including Epicor, E2 Shop, JobBOSS, Global Shop Solutions, ProShop and others. In 2024 it added a way to forward an RFQ from your inbox and have AI suggest the part fields. In May 2026 it said its Wingman 2.0 feature reads far more detail from 2D drawings, like threads, finishes and weld symbols. It didn't publish an accuracy figure.
• Toolpath says its cycle time, material and cost estimates are generated automatically so quoting takes minutes. It works inside Autodesk Fusion.
• CADDi says it extracts geometry and specs from 2D and 3D data and uses similar past products to guide cost and lead time.
• ProShop's estimating module is rules, not AI. It loads your real costs into templates and flags quotes below your target margin.
• Xometry says buyers upload 3D models to get instant pricing. It's a marketplace. It quotes the buyer and then finds a shop to make the part, so it's a competitor or a source of work, not your quoting tool.

Where off-the-shelf AI quoting falls short

These tools are good at what they were built for. The gaps show up at the edges.

• Drawings without models. The geometry-based tools want a 3D model. Many RFQs still come as a PDF print. Reading those is getting better, but it's hard. A 2024 research paper calls pulling tolerances (GD&T) off 2D drawings time-consuming and labor-intensive. A small model the authors fine-tuned on 400 expert-labeled drawings beat the general-purpose models they tested, GPT-4o and Claude 3.5 Sonnet, by a wide margin.
• AI that looks right but isn't. Xometry depends on AI pricing more than anyone. Its 2025 annual report warns that AI models can produce flawed outputs, "some of which may appear correct." It also says it sometimes quotes buyers less than it ends up paying the shop.
• Work that isn't one part. Assemblies, buyouts, outside processing, kits and distributor line-item RFQs don't fit a single-part costing engine. For those, the quote comes from past jobs, vendor prices and your rules.
• Another system to feed. A quoting platform has its own data, rates and formulas. Someone has to keep them in step with the ERP.

AI drafts the quote. Your estimator owns the price.

What a custom quote assistant does instead

A custom quote assistant is built around the way your shop already quotes. It doesn't replace your estimator or your ERP. It does the reading, looking up and typing.

1. Reads the RFQ. It picks up the email and attachments, pulls part numbers, revisions, materials, quantities and due dates, and flags what's missing.
2. Finds the history. It looks up past quotes and jobs for the same or similar parts in your ERP: what you charged, what it actually cost, how long it ran.
3. Applies your rules. Your rates, margins, minimums and quantity breaks, the same ones your estimator uses.
4. Drafts the quote. In your template, with each number's source shown: a past job, a vendor's last quote, or your rate table.
5. Waits for approval. The estimator checks, adjusts and sends. Nothing goes to a customer without a person.

The market is moving this way too. On Oct. 14, 2026, Forgepoint announced a $9.8 million seed round for an AI agent that reads RFQ emails, flags missing requirements, prices with each manufacturer's own cost model and routes the draft for approval. The company claims time to quote fell by more than 55% for its customers. That piece was a contributed article, not newsroom reporting, so treat the numbers as the company's own.

How to choose

Some shops use both. A platform for new machined parts. An assistant for the inbox, repeat work and everything else.

Questions to ask any vendor

• Does it work from our 2D PDF prints, or only 3D models? Show us on ten of our real RFQs.
• Where do the rates and costs come from, and who keeps them in step with our ERP?
• How does the estimator see why it priced a line the way it did?
• What happens when a spec is missing: does it guess or flag it?
• Which ERP does it write back to, and what exactly gets written?
• Who owns our quote data if we leave?

How Peekgentic does it

We build quote assistants around the inbox, the ERP and the estimator you already have. Software reads each RFQ and its attachments, flags what's missing, pulls similar past jobs and costs from your ERP, and drafts the quote with each number traced to its source. The estimator approves every quote before it goes out. See how an order-processing build works, or our step-by-step guide to automated quoting for machine shops.