AI Quotation Agent
Automate RFQ understanding, product matching, pricing preparation and quotation workflows while keeping your sales and engineering teams in control.
Workflow
KPIs we measure
The business problem
Turn incoming RFQs into accurate, review-ready quotations using product catalogs, technical specifications, pricing rules, and ERP data.
Before and after
Current manual workflow
AI-enabled workflow
Try it
A sample RFQ with fictional product codes runs through extraction, matching, ERP pricing and review.
Incoming email · sample RFQ
RFQ-20418 — Northline Process Supply (sample)
CUST-4471 Ball valve 2" 316SS, 1000 WOG x24 CUST-4472 Pressure gauge 0–300 psi, 4" dial x40 CUST-4480 Gate valve 3" class 150 flanged x6 CUST-4491 Actuator, pneumatic, spring return (size TBD) x6 Delivery: 3 weeks · Ship to Houston, TX
Results appear here as the agent works.
Agent capabilities
Document understanding
Reads PDFs, spreadsheets, drawings and free-text emails, including messy tables.
Technical matching
Maps customer part numbers and specs to your catalog, with alternates.
Pricing preparation
Applies price lists, customer terms, margins and quantity breaks from your ERP.
Exception routing
Flags uncertain matches and non-standard terms for the right reviewer.
System integration examples
Human approval & security
Potential business impact
Relevant industries
Related solutions
FAQ
No. Quotes are drafted for review. Your team decides what goes to the customer and can set rules for when review is required.
That is normal. Discovery includes a data review, and the agent learns from approved corrections over time.
We integrate through APIs, database connectors or exports with common ERPs and custom systems.
Tell us how the work runs today. We'll tell you honestly whether a custom AI agent makes sense.