Unstructured RFQs
Different customers send different information, formats and attachments.
Wattpixel RFQ Engine
RFQ automation for industrial B2B sales teams
Turn incoming quote requests into structured sales opportunities with less copy-paste between inboxes, forms and CRM. Wattpixel designs and implements RFQ workflows around the systems and review steps your team actually uses.
Interactive demo below · No login · AI parsing with browser fallback
What is RFQ automation?
A request for quotation (RFQ) asks a supplier to quote for a product, service or project. RFQ automation connects enquiry capture, requirement extraction, CRM routing and follow-up so your sales team can review the request and act on it.
Interactive workflow demo
Paste an RFQ. See the sales opportunity your team could receive.
Process RFQs with AI and review the extracted fields and draft reply. Clicking Process RFQ sends the text to OpenAI through our server. Use sample or non-confidential data. If AI is unavailable, the demo uses its local browser parser. CRM actions remain simulated.
Use sample or non-confidential data
Ready to process · up to 10,000 characters
Where the friction appears
A quote request should not need five manual handovers before sales can act.
Manual CRM entry
Sales teams retype company, product, quantity, site and timing into another system.
Slow internal routing
The right salesperson or technical reviewer may not receive the request immediately.
Inconsistent follow-up
Quotations and open enquiries can become difficult to track across inboxes and spreadsheets.
How RFQ automation works
From incoming enquiry to a visible next step.
Capture the enquiry
Collect RFQs from agreed sources such as website forms and sales inboxes.
Structure the request
Extract the commercial and technical details your sales team needs to review.
Create the opportunity
Push the structured enquiry into the CRM or agreed sales system with ownership and context.
Prepare the next action
Generate a summary, checklist or draft response for human review.
Keep follow-up visible
Create reminders and handovers so unanswered opportunities are easier to see.
Measure the flow
Track enquiry volume, response stages and workflow bottlenecks where the available systems support it.
What can be connected
Use the tools you already have where practical.
The exact architecture depends on API access, licences, data quality and security requirements. We scope those constraints before promising an integration.
+ Website enquiry forms
+ Sales inboxes
+ CRM platforms
+ ERP or catalogue data
+ Document attachments
+ Internal notifications
+ Sales dashboards
+ Approval steps
Where AI helps
AI can prepare the work. Your team keeps control of the decision.
AI can assist with summarising RFQs, extracting fields, classifying requests and preparing drafts. Engineering selections, pricing, commercial commitments and safety-critical decisions should remain under qualified human review unless the rule is explicit and controlled.
Production architecture
A live implementation can watch an approved inbox or form, send the request through an extraction step, validate required fields, write the opportunity into CRM and create a review task for the responsible salesperson.
The exact model, data retention rules and system permissions are agreed per client.
Best fit
Built for quote-driven B2B sales.
Practical questions
Before you automate an RFQ workflow
What is RFQ automation?
RFQ means request for quotation. RFQ automation connects the steps between receiving a quote request and preparing a sales opportunity: capturing the enquiry, structuring its details, routing it to an owner and keeping follow-up visible. It supports the sales process rather than replacing technical or commercial review.
Can you use our existing CRM and sales inbox?
We assess the tools you already use, including API access, licences, data quality and security requirements. The agreed workflow can connect approved inboxes or website forms with CRM records, notifications and review tasks where those systems support it.
Does this demo send quotations or update a real CRM?
No. The CRM actions and sales handovers in this demo are simulated. Processing an RFQ can send the supplied text to OpenAI through our server; use sample or non-confidential data. If AI is unavailable, the demo uses its local browser parser. A live implementation requires separately agreed integrations and permissions.
Can AI select equipment or approve a price?
The workflow can prepare extracted fields, summaries, completeness checks and draft replies. Equipment selection, pricing, contractual commitments and safety-critical decisions remain subject to qualified human review. We agree the rules and review steps before implementing the workflow.
Explore CRM integration requirements or AI assistants for approved technical information before choosing your scope.