From 3 Days to Under a Minute: AI-Powered RFQ Automation for Custom Part Fabrication

Q: What is RFQ automation in a manufacturing context?

It is the automation of the request-for-quote process, converting an engineering drawing and specification directly into a costed, structured quote without manual coordination across departments.

Q: Does this replace the factory's engineers?

No, it replaces the manual, sequential coordination step that previously consumed days of waiting between departments, while engineering judgment remains available for edge cases.

Q: Can the pricing logic be calibrated to our own costing manual?

Yes, the engine includes a calibration layer built to align its cost outputs with a company's existing itemized pricing structure.

Industry: Precision Machining & Fabrication — custom parts for machine automation builders

Business size: Small–Medium factory

Service deployed: Multi-Agent RFQ Automation Engine

Result horizon: Immediate, from first live quotes

Snapshot

ChallengeQuotation for new custom parts took a minimum of 3 days, dependent on sequential manual input from purchasing, engineering, and finishing teams

SolutionA multi-agent RFQ engine that reads 3D drawings, parallelizes cost analysis across sub-agents, and outputs a costed quote

OutcomeQuote turnaround cut from 3+ days to under 30 seconds per part, with consistent, non-subjective pricing

The Challenge

The client runs a machining factory producing custom fabricated parts for small-to-medium automation builders. Every new part quote followed the same painful path: a 3D drawing and engineering spec would arrive, and sales would then have to wait — on purchasing to confirm material price and availability, on engineers to work out machining programming, cycle time, and labor hours, on someone to determine what special tooling or NRE fabrication was needed, on a finishing capability check (in-house or outsourced), and on a lead-time estimate.

Each of these steps depended on a different person's availability. For a genuinely new part, the fastest realistic turnaround was three days — and pricing consistency varied depending on who happened to be doing the estimating that week.

The Solution

We built an RFQ agent that restructures this entire chain into a parallelized, automated workflow:

3D drawing extraction and interpretation — the agent reads the incoming drawing and engineering specification directly.
Structured task delegation to sub-agents — the process is broken into the same components a human team would handle (materials, machining, finishing, tooling/NRE), but run in parallel rather than sequentially.
Live material price survey agent — sourcing current material cost and availability automatically rather than waiting on a manual purchasing check.
Machining knowledge-base integration — the agent calculates cycle time, number of process setups, and finishing costs directly from the 3D drawing, using a machining knowledge base built into its reasoning.
Calibration engine — tuned to match the factory's own itemized costing manual, so outputs align with the company's established pricing logic rather than a generic estimate.

The Results

The impact was immediate from the first quotes run through the system:

Quotation time for new, previously-unquoted parts dropped from a minimum of 3 days to under 30 seconds per part.
Pricing became consistent and defensible — quotes no longer varied based on which estimator handled them, removing subjectivity from itemized costing.
Faster response time translated directly into more won business, since the factory could now be first to quote on time-sensitive jobs.

"I should have found this sooner — it's not just efficiency, it's real revenue from being fastest to respond, and our itemized quotes are finally consistent and competitive without any subjectivity."

Director, Fabrication Factory Client

Frequently Asked Questions

What is RFQ automation in a manufacturing context?

It's the automation of the request-for-quote process — converting an engineering drawing and specification directly into a costed, structured quote without manual coordination across departments.

How does the system extract cost information from a 3D drawing?

The agent interprets the drawing and specification directly, then delegates analysis (materials, machining cycle time, setups, finishing, tooling) to specialized sub-agents working in parallel, drawing on a machining knowledge base calibrated to the factory's own costing manual.

Does this replace the factory's engineers?

No. It replaces the manual, sequential coordination step that previously consumed days of waiting between departments. Engineering judgment on unusual or edge-case parts remains available as an override.

Can the pricing logic be calibrated to our own costing manual?

Yes — the engine includes a calibration layer specifically built to align its cost outputs with a company's existing itemized pricing structure, rather than imposing a generic model.

Curious what RFQ automation could do for your quote turnaround time? get in touch to discuss your workflow.

Engagement note. Results reflect the client's reported experience and vary by engagement, operating context, and the readiness of source data. Figures shown are client-reported outcomes, not guarantees. Some clients prefer to remain anonymous; where a logo is shown, permission has been granted by the client. Client named with permission: Frenmech.

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