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Example build · Configure · price · quote

QuoteDesk

Turn a messy RFQ email into a priced quote in under an hour

Industrial distributors & custom manufacturers11 weeks to first production quotefrom $110k
A sales engineer reviewing a technical drawing beside a monitor in an industrial supplier's office
3 days → 40 min
Median quote turnaround
94%
Line items auto-priced
0
Quotes lost in an inbox
The situation

What was actually happening

A quoting application shaped around one manufacturer's actual pricing logic — material costs, volume breaks, customer-specific terms, and the approval rules that were living in a sales manager's head.

A worker checking a tablet at a workstation on a manufacturing shop floor
  • RFQs arrived as email attachments in a dozen formats — PDFs, spreadsheets, photographed drawings
  • Pricing rules lived in an 80-tab workbook that one person maintained
  • Every quote over a threshold needed an approval nobody could track
  • Average turnaround was three days, and competitors were answering in one
The build

How we solved it

01Intake that reads the attachment

Incoming RFQs are parsed — line items, quantities, specs, and drawings extracted and normalized into a structured request. Ambiguous fields are flagged for a human rather than guessed.

02Pricing as a rules engine, not a spreadsheet

Material costs, margin floors, volume breaks, and customer agreements encoded as versioned rules with an effective date. Sales can see exactly which rule produced a number.

03Approvals with an audit trail

Threshold-based routing, one-click approve from Slack or email, and a permanent record of who approved what and when.

04Quote documents on brand

Generated PDFs and a shareable web quote with expiry, plus write-back to the ERP so nothing gets rekeyed.

The application

Screens that carry the workflow

Interface placeholders — the real product screens go here once client approval lands.

Inbox

Parsed RFQs with confidence flags on uncertain line items

Quote builder

Line-item pricing showing which rule set each number

Approval queue

Threshold routing with one-click approve and full history

Rule editor

Versioned pricing rules with effective dates and a dry-run preview

AI inside

Where the models actually do work

The application works without any of this. The AI is what makes it fast — and every use below has a confidence threshold and a human path when it isn’t sure.

  • Document extraction from PDFs, spreadsheets, and photographed drawings
  • Spec matching against the product catalog with confidence scoring
  • Draft cover letters in the sales rep's voice, edited before send
Integrations
NetSuiteOutlook / Microsoft 365SlackDocuSignS3
Time to production
11 weeks to first production quote
Typical investment
from $110k
Something like this?

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