AI RFQ Agent
An RFQ agent automates the intake, parsing, and distribution of customer quotation requests. It ingests RFQ documents or forms, extracts technical specifications and requirements, routes requests to appropriate vendors or internal teams, aggregates responses, and formats results for review. This eliminates manual data entry, reduces quote turnaround time, and ensures consistent handling of supplier communications at scale.
Key benefits
- Extracts specifications from unstructured RFQ documents automatically
- Routes requests to correct suppliers based on capability rules
- Aggregates vendor responses into standardized comparison formats
- Reduces manual RFQ processing overhead and human error
How ifolabs builds it
ifolabs designs the agent architecture to match your RFQ workflow: document ingestion (email, portal, PDF), structured extraction of line items and technical requirements, supplier matching logic, and response compilation. We integrate with your existing vendor systems and quote databases, test against real RFQs from your pipeline, then deploy the agent to handle incoming requests in production with human oversight gates for approval.
Use cases
FAQ
What document formats can the RFQ agent process?
The agent handles PDFs, Word documents, email attachments, and form submissions. We build custom extraction logic for your specific RFQ structure during implementation.
How does the agent know which suppliers to route to?
You define routing rules based on product categories, geographies, capabilities, or vendor certifications. The agent applies these rules to classify incoming RFQs and select appropriate recipients.
Can the agent compare quotes or just collect them?
The agent aggregates responses into structured tables with pricing, terms, and lead times aligned. It can flag missing data or outlier quotes but final quote selection remains your decision.
How long does deployment take?
Typical RFQ agent deployment is 2-4 weeks, depending on supplier system integrations and complexity of your routing logic. We begin with your actual RFQ samples.
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