6 Best RFQ Quoting Software for Machine Shops in 2027

Key Takeaways

• Choose by where the won quote has to land. A tool that cannot write into your ERP or job system makes you retype every accepted quote.

• Only two of the six pricing pages we reviewed publish a figure, and one of those is partial. The other four are Quote-based, so get written pricing before you compare costs.

• Intake is the slow step for many small shops. Check whether a tool reads RFQ emails and drawings, or only helps you build a quote you already typed.

• Every tool here that automates costing still needs an estimator to confirm quantities, material and margin before a price leaves the shop.

• A no-code stack such as Zapier can route intake, but you then own run monitoring, error paths and access control.

Start with the system your quote has to reach

RFQ quoting software takes an incoming request for quote, usually an email with a drawing or spec attached, and turns it into a priced estimate you can send and later convert into a job.

For most machine shops the first decision is not which screen looks best. It is whether an accepted quote can move into the system that already holds your routings, material costs and job history. If you run an ERP or job-management system, buy a quoting tool that lives inside it or exports to it cleanly. If your quotes run through spreadsheets and email, a standalone intake and costing tool is the smaller first step.

TL;DR: shops already on an ERP should start with that system's quoting module or a tool with a documented connector. Shops without one should compare a standalone intake tool against a full ERP, and should get written pricing from each vendor before they compare costs.

How we evaluated these tools

This is a desk review. We read vendor pricing and product pages, third-party listings and one trade-press survey. We did not run demos or trials, and nothing here describes hands-on testing. The weights below are our judgment, not a vendor-published score.

RFQ intake and quote speed: 25% of the score because intake is where small shops lose the most hours. Where a vendor published nothing for a criterion, we say so in the matrix instead of filling the gap.

We excluded Quotient and Shop-Ware because their public pages aim at services and auto repair rather than machining. SpeedQuoteAI was out because we could not reach an official site during this review. shopVOX publishes plan prices, but its pages frame it around custom products rather than machining, so it did not make the six.

What the quoting data says

Our best market evidence is a trade-press survey from July 2025, and its sample is larger than most machine shops. It covered 200 decision-makers at U.S. manufacturers, wholesalers and distributors with at least 100 employees.

Fully automated quoting: 37% of surveyed firms according to Digital Commerce 360 (2025). That is the share that has automated quoting end to end, which means most of the sample still quotes partly by hand.

Other figures from the same survey, with its sample base, are below. The 5% row reports the average revenue cost of manual workflows, according to Digital Commerce 360 (2025).

The 88% row is the one to read carefully. It counts respondents who lost deals because of how quotes were generated and approved, which points at approval steps as much as at pricing speed. Nothing in the survey measures hours per quote, so it cannot tell a machine shop what to expect from a tool.

Feature matrix: what each vendor publishes

"Not stated" means the page we opened did not describe the feature. It does not mean the feature is missing, so ask the vendor in writing before you rule it out.

Only Paperless Parts and DigiFabster describe RFQ intake on their own pages. Four of the six describe a quote-to-order step. API evidence is thin: DigiFabster names webhook access on a plan, and Cetec ERP lists API access as a priced add-on.

Pricing: what is public and what is quote-based

Pricing checked October 26, 2026. We print only figures read on each vendor's own pricing page, and each carries its citation. Where the page shows no figure, the status reads Quote-based.

Cetec ERP's two figures are list prices on its own page, and a self-supported option sits beside the paid support tiers. DigiFabster's page shows a starting figure for one plan only. The other paid plans display no figure, and enterprise says to contact the company. Third-party listings give figures that disagree with each other, so we did not print any of them. For the four Quote-based vendors, no figure appears on the pages we opened, so ask each for written pricing.

Vendor profiles: fit, limits, implementation and evidence

Paperless Parts

Best fit: custom part shops that receive RFQs as emails and prints and want costing from part geometry. Its manufacturing software page says estimators can review and adjust every quote before it goes out, and that Requirements Review, powered by Wingman AI, reads RFQ emails and prints for GD&T, materials and finishes.

Limits: the page does not describe quote-to-order steps or an API. Its ERP list (M1, JobBOSS², E2, Epicor, Infor VISUAL, Global Shop Solutions and ProShop) does not explain how data moves between them. Its compliance statements, including "ITAR registered" and "CMMC Level 2 Assessment-Ready," are vendor claims to check against your contracts.

Implementation: no timeline is published. The pricing page asks you to request pricing and lists no figures.

ProShop ERP

Best fit: shops that want estimating inside the ERP that also runs their jobs. According to SelectHub, its estimates cover setup and cycle labor, material costs and BOM items, let you set labor rates per job, and convert a quote to a purchase order in one click.

Limits: pricing is per user and Quote-based. The pricing page lists a standard and a Government edition, and buyers request a proposal through a short online form. The pages we opened do not document an API, so ask for one in writing if you need a connector.

Implementation: the pricing page says every plan includes dedicated, ongoing support. It gives no timeline.

JobBOSS²

Best fit: job shops that want quoting tied to job costing and production. According to ECI Software Solutions, its estimating module pulls material, labor, waste and overhead data into a quote, and order management turns an accepted quote into a production job automatically.

Limits: the same page does not mention an API, a QuickBooks link or data export, and it publishes no price. Its return-on-investment claim is the vendor's own marketing. Ask ECI in writing for export and connector details before you rely on a handoff.

Implementation: not described on the page we opened.

Global Shop Solutions

Best fit: shops that want quotes to become sales orders and then track estimate-to-actual variance inside the ERP. According to SoftwareOne, the module builds quotes from single-level and BOM estimates or routers, creates sales orders when a quote is won, and offers margin analysis and variance tracking once jobs finish.

Limits: the pricing page is Quote-based and describes concurrent-user licensing with an upfront fee and recurring quarterly charges. We found no email RFQ intake or drawing-based costing on the pages we opened, so intake would need another tool or a manual step.

Implementation: the pricing page names on-premise, cloud and SaaS deployment, which is a decision to make before you buy.

Cetec ERP

Best fit: custom manufacturers that want quoting, job management and production control in one system. Its quoting features page describes BOM import from Excel, built-in templates, labor and router estimation, PDF export, and one-click conversion of a quote into an order that also generates BOMs, work orders, routers and purchasing needs.

Limits: pricing is per user with a five-user minimum, and support, hosting and API access are separately priced items on the pricing page. The features page does not describe email or drawing intake.

Implementation: the pricing page lists a self-supported option alongside paid support tiers, so the support level is a decision to settle before you sign.

DigiFabster

Best fit: shops that sell parts through online instant quotes for CNC, 3D printing or sheet-metal work, with customers uploading files. Its pricing page lists Instant RFQ, an AI-powered quote agent, no limit on quotes, and purchase order payment collection.

Limits: the page does not describe CAD formats or the upload workflow. It does not publish a figure for most plans, and webhook API access appears only on the Growth and Enterprise plans.

Implementation: no timeline is stated, so ask for a sample configuration before you commit.

Where RFQs stall between intake and the ERP

Most small shops lose time at two handoffs: reading the RFQ and pricing it from the right data, then moving the won quote into the job system. A tool helps most where it removes retyping, and that is where a configured workflow can sit next to the quoting tool.

A proposed US Tech Automations workflow for the intake handoff would start when an RFQ email with a drawing arrives in a shared quoting inbox. The action extracts the requester, part numbers, quantities and due date into a structured record, then creates a HubSpot deal assigned to the estimator on duty. The output is a review task in that estimator's queue and a summary row in Google Sheets. Prerequisites are a HubSpot account with API access, a Gmail connection and a field map agreed with your estimators. The human review point is the estimator confirming quantities, material and due date before any price leaves the shop, and the workflow sends nothing to a customer on its own.

A second proposed workflow starts when an estimator marks a quote accepted in the quoting or ERP system. It needs an export or API that exposes the accepted quote. If the tool offers neither, the trigger becomes a scheduled CSV export that a person runs, and that step goes on the task list. The action creates a draft customer record and a sales-order summary in QuickBooks. The output is a finance review task and a log that matches each quote to its order. The human review point is finance approving the draft before anything is booked. This is a configurable design, not a live deployment, and the quoting tool's data access decides how far it can go.

Stitching it together yourself: Zapier, Make or n8n

The usual alternative is to stitch intake and handoffs together in Zapier, Make or n8n, or to build a script in-house. For simple email-to-spreadsheet flows that is a reasonable choice. Zapier's help center describes run statuses such as Handled error and Scheduled, and it lets you replay failed tasks so the data is not lost. It also builds in a safeguard: Zapier auto-pause: 95% of runs erroring in 7 days according to Zapier (2026), so a broken intake flow can switch itself off.

Make and n8n keep their own run logs and error routes, but plan limits and features differ, so check the current docs for the plan you would buy. What you own in any of these builds is the part no vendor page covers: monitoring for silent failures, idempotency so a retried event does not create a second deal, escalation to a named person, access controls for customer and pricing data, and maintenance when a field in the ERP export changes.

A proposed US Tech Automations design would put those items into the build itself: run history, retry rules, error branches with a named owner, and a written review point for each step. Its prerequisites match the DIY version, namely API or export access from your quoting tool and HubSpot or QuickBooks accounts with the right permissions. The review points still belong to your estimator and finance lead.

Worked example: one month of RFQs

Take a hypothetical shop that receives 40 RFQ emails a month and spends 45 minutes per RFQ on intake, which covers reading the drawing, typing quantities and creating the record. That is 40 × 45 = 1,800 minutes, or 30 hours of estimator time before any pricing. Suppose a configured intake step cuts the typing to 20 minutes per RFQ while the estimator still reviews each one. Then 40 × 20 = 800 minutes, or 13.3 hours, and the saving is 30 − 13.3 = 16.7 hours a month. Each RFQ is logged as a HubSpot deal through the deals API reference, where hubspot_owner_id assigns the estimator who reviews it, so the review task reaches the right person. The 16.7 hours assume the API connection works and that the estimator time per RFQ holds at 20 minutes. These are arithmetic on invented inputs, not a measured result.

Common mistakes

• Comparing demos but never checking how an accepted quote becomes a job.

• Treating a Quote-based vendor as cheap because a directory lists a low figure. Third-party listings disagree widely.

• Assuming a feature is missing because the vendor page did not mention it. Ask in writing.

• Dropping the human review step once intake is automated.

• Buying intake automation before cleaning up the routing and cost data it will draw on.

Glossary

• RFQ (request for quote): a customer's request to price a part or assembly, usually with drawings or a spec.

• BOM (bill of materials): the list of components and quantities that make up a part.

• Router: the sequence of operations, work centers and time standards used to make a part.

• Quote-to-order conversion: turning an accepted quote into a sales order, work orders and purchasing needs.

• Estimate vs. actual variance: the gap between what a job was priced at and what it actually cost.

• Webhook: a message a system sends automatically when an event happens, such as a quote being accepted.

• Concurrent-user license: pricing based on how many people are signed in at once, not total staff.

Who this is for

• An owner or operations lead at a machine shop who already runs an ERP or job system and wants quotes to move into it.

• A shop with a steady flow of RFQ emails and drawings, where intake is the slow part.

• Anyone who will ask each vendor for written pricing before comparing.

Red flags: you have no system of record at all and your quotes are mostly repeat orders at fixed prices; you expect a published price on every pricing page before any demo; you have nobody to own the estimate review step.

Who should choose which tool

We would not point a shop to US Tech Automations in three situations. If a quoting module already inside your ERP covers your estimates and RFQs arrive only occasionally, that module is simpler to run. If your quote data sits in a system that offers no export or API, no workflow can move it, so fix the export first. If you want the vendor to own pricing decisions with no internal review, a proposed workflow is the wrong shape, because the review points should stay with your estimators.

Frequently asked questions

Which RFQ quoting software is best for a small machine shop?

No single tool wins for every shop; the best choice is the one that writes an accepted quote into the system that already runs your jobs. If you have no system of record, start with a standalone intake tool and add an ERP later.

Do any of these vendors publish prices?

Cetec ERP publishes per-user and support figures, DigiFabster shows one starting plan figure, and the other four are Quote-based on the pages we opened.

Can I build RFQ intake myself in Zapier or Make?

Yes, for simple email and spreadsheet flows. You then own monitoring, error paths, access controls and maintenance.

Do the survey figures apply to a small shop?

Not directly. The Digital Commerce 360 sample covered firms with at least 100 employees, so a smaller shop may not match its profile.

Does an automation service replace a quoting tool?

No. A proposed US Tech Automations design sits around a quoting tool you already use, and it depends on that tool exposing export or API access.

How long does implementation take?

None of the pages we opened publish an implementation timeline, so ask each vendor for a written plan with named steps and a data-mapping review.

Conclusion

Start with the question of where an accepted quote must land, because that answer narrows six tools to two or three. Then get written pricing from each shortlisted vendor, since four of the six pricing pages show no figure. To see one proposed design for the intake and handoff described above, see how US Tech Automations configures this.