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About This Automation
Quote and RFQ management involves receiving customer requests, extracting details, calculating pricing, and generating proposals manually across email and spreadsheets. Manual handling causes delays, data entry errors, and inconsistent follow-up that frustrate customers and tie up sales staff.
Automation captures incoming requests, extracts customer and product data, looks up pricing and inventory, calculates totals with margin checks, and generates branded proposals ready for approval or delivery. Sales staff focus on closing deals instead of administrative work.
Key features:
Capture quote requests from email and web forms into a single inbox
Extract customer and product details automatically and validate against your records
Look up pricing, inventory, and discounts from your ERP system in real time
Calculate totals, margins, and apply company policy checks automatically
Generate branded proposal documents with customer details and specifications
Route quotes for approval with clear status tracking and notifications
The issues teams report most often with this process
#
Friction point
Companies Report This
1
Manual data entry errors
Copying customer and product details across multiple systems introduces typos and mismatches that require rework.
80%
2
Scattered quote requests
Requests arrive via email, web forms, and portals; staff must check multiple inboxes and channels to find all requests.
67%
3
Approval bottlenecks
Managers are often unavailable; quotes sit in draft status for 4-24 hours, delaying customer response.
53%
4
Inconsistent quote tracking
Status updates are manual and sporadic; follow-up dates are missed and quote pipeline visibility is poor.
40%
5
Pricing lookup delays
Staff must search ERP systems and spreadsheets for unit costs and discounts, slowing quote generation.
26%
DisclaimerAll data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more
Automation readiness
How well-suited this process is for automation
Process Pain Score™Manual quote handling causes 2-3 day delays, data errors, and inconsistent.
7.9/ 10
AI Fit Rating™Quote requests follow predictable patterns; data extraction, pricing lookup.
9.1/ 10
Automation Lift Index™Automation reduces quote cycle from 111 to 8 minutes and cuts approval delays.
8.7/ 10
Hidden Overhead™Context switching between email, spreadsheets, and documents; rework from.
7.3/ 10
How The Automation Works
The full workflow, from trigger to completion.
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1. RFQ Receivedtrigger
Quote request arrives via email, web form, or customer portal and is captured by the automation platform.
2. Extract RFQ Data
The automation parses the incoming request, identifies customer name, product codes, quantities, and special requirements, and validates against known customer records.
3. Look Up Pricing
The automation queries the pricing and inventory database to retrieve unit costs, volume discounts, and stock levels for each product.
4. Calculate Quote
The system calculates line totals, applies discounts, adds shipping and tax, and verifies margins against policy thresholds.
5. Generate Proposal
A proposal document is automatically generated with customer details, product specs, pricing, terms, and company branding, ready for review.
6. Route for Approval
The proposal is sent to the sales manager with a direct link to approve or request changes, with a 4-hour timeout.
7. Send to Customer
Once approved, the proposal is automatically sent to the customer and logged with a follow-up reminder.