Generate accurate price quotes in minutes instead of hours by using AI to analyze job details and pull from your pricing database.
For a make-to-order or configure-to-order manufacturer, the RFQ is where deals are won and margin is made or lost — and it is usually a bottleneck. An estimator reads a drawing or spec, builds a bill of materials, prices raw material at today’s cost, estimates machine time and labor, applies overhead and margin, and writes it up — hours of work per quote, days of turnaround, and a different answer depending on which estimator caught it. Meanwhile the buyer who gets a clean, itemized quote first, with options, usually wins the job. AI-assisted quoting turns the estimator’s inputs — drawing notes, material, quantity, tolerances — into a structured, itemized quote pulling from your pricing and BOM data in minutes, with good/better/best material or lead-time options and consistent margin discipline. It standardizes pricing so your newest estimator quotes like your most experienced one, and it gets quotes out same-day while the job is still hot.
A metal-fabrication shop feeds part drawings, material, and quantity into a quoting flow that returns an itemized estimate — material, cut/weld/finish labor, setup, and margin — before the buyer’s follow-up call, taking same-day quote rate from a minority of RFQs to nearly all of them. A custom-packaging manufacturer uses good/better/best material options on every quote to lift average order value and give buyers a reason to choose up. A contract manufacturer standardized margin and overhead application in the quoting step, which stopped junior estimators from underpricing complex jobs and protected gross margin across the board.
Document your pricing structure: base rates, material costs, labor rates, common add-ons, square footage multipliers, and any pricing rules (minimums, zone surcharges, complexity tiers). This becomes the AI's reference.
Build a quote request form that collects the variables your pricing depends on: job type, size/scope, location, timeline, special requirements. Use conditional fields so the form adapts to the service requested.
When a form is submitted, pass the details to OpenAI along with your pricing knowledge base. Prompt: 'Based on these job details and our pricing guide, generate a line-item estimate with total. Flag any items that need a site visit to confirm.'
Auto-generate a branded PDF quote from the AI output. Route to the estimator or sales team for a quick review — they adjust any line items the AI flagged as uncertain, then approve.
Send the branded quote via email within hours of the request, not days. Include a clear CTA: 'Approve this quote' button, valid-until date, and easy way to ask questions. Follow up automatically if not responded to in 48 hours.
Tuned for Manufacturing. Use as-is or adapt to your voice.
You are a senior manufacturing estimator. From the supplied drawing notes, material, quantity, tolerances, and finish, draft an itemized quote using ONLY our pricing data: material cost [paste current rates], standard labor rates by operation, setup time, and overhead/margin policy. Output line items: material (with current cost basis), each operation’s machine + labor time and cost, setup, finishing, freight if specified, then overhead and margin per policy. Show unit price and extended price at the requested quantity, plus price breaks at [qty tiers]. If a spec is ambiguous or a cost input is missing, flag it as ESTIMATOR CHECK rather than assuming. Present for estimator review, not as final.
For the quoted part, present up to three options when the spec allows: GOOD — meets the print at lowest cost (base material, standard lead time). BETTER — the upgrade that most buyers value (e.g., higher-grade material, tighter tolerance, or shorter lead time), with the price delta and the reason. BEST — premium material/finish or expedited lead time for time-sensitive buyers. One plain sentence per option on what they get and who it suits. Never present an option that does not meet the print’s functional requirements.
Hi [Name], thanks for the RFQ on [part/job]. Our quote is attached: [qty] at [unit price], [lead time] ARO. I included a couple of options — the [BETTER] option is [delta] more and gets you [benefit], which most customers running [application] prefer. Material pricing is held for [X] days given current market. Happy to walk through any line or adjust quantity for a better break. Want us to slot you into the schedule?
You are a pricing assistant for [Business Name], a [business type]. Using our pricing guide below, generate a detailed line-item estimate for this job. Pricing Guide: [paste pricing structure] Job Details: - Type: [job type] - Size/Scope: [details] - Location: [area/zone] - Timeline: [urgency] - Special requirements: [details] Output a table with: Line Item, Quantity, Unit Price, Subtotal. Add a total. Flag any items that require a site visit to confirm pricing.
Hi [Client Name], Thanks for requesting a quote from [Business Name]. We've put together a detailed estimate for your [project type]: Estimated Total: $[Amount] Valid Until: [Date] Full quote attached. To approve, click here: [Approval Link] Questions? Reply to this email or call [Phone]. Best, [Your Name]
Hi [Client Name], just following up on the quote we sent for your [project type]. Did you have any questions about the estimate? We're happy to walk through the details or adjust the scope. The quote is valid until [Date].
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Don't use AI quoting for highly custom or unique projects where pricing truly requires expert judgment and a site visit. The AI works best for standardized or semi-standardized services where 80% of pricing is rule-based.
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