AI automates RFQ classification, requirement extraction, product matching, and accurate quote generation.
Request a DemoEnterprise RFQ Automation Platform for end-to-end automated RFQ processing
Capture RFQs automatically from email, APIs, ERP systems, and uploads.
AI classifies RFQs by intent, urgency, and routing requirements.
Extract specifications, quantities, and constraints from unstructured RFQ documents.
Match requested products using vector search and contextual product understanding.
Generate accurate quotes with deterministic pricing and human approval workflows.
Track every quote, edit, and approval with full audit transparency.
Automate RFQ processing, generate accurate quotes faster, and meet SLAs using AI-powered RFQ automation.
Comprehensive RFQ management system capabilities from intake to vendor quote approval.
AI-powered models classify incoming RFQs with over 95% accuracy, identifying intent, urgency, and routing requirements instantly.
The platform performs automated requirement extraction from emails, PDFs, spreadsheets, and attachments, identifying product specifications and procurement constraints.
Using vector embeddings and Amazon OpenSearch, the system matches RFQs with relevant products and historical bids.
Automatically generate quotes and route approvals using rule-based workflows with complete audit trails.
Built for procurement teams and operations leaders who require strict data governance, transparency, and workflow control.
Every AI-generated quote requires human approval, ensuring faster processing while procurement teams retain full decision-making authority.
The RFQ automation platform deploys in your AWS environment with VPC isolation, keeping RFQ data secure.
Vendor quotes use rule-based pricing logic instead of generative AI, ensuring accurate calculations, compliance, and auditability.
Measurable business outcomes that impact your bottom line
Cut quote preparation time from hours to minutes using automated RFQ processing and AI-driven requirement extraction.
Automatically prioritize RFQs based on urgency, deadlines, and vendor requirements.
Scale vendor quote volumes using procurement automation without increasing operational workload.
Every price calculation, vendor quote, approval, and edit is logged and auditable within the RFQ management system.
See how our AI handles the manual work.
Everything you need to know about AI-powered RFQ automation and quote intelligence.
RFQ automation uses AI to classify, extract, match, and generate quotes from RFQ emails automatically.
AI extracts requirements, while rules handle pricing, approvals, and SLA tracking to ensure accuracy and governance.
AWS Bedrock powers scalable AI models for email classification, requirement extraction, and quote intelligence.
All pricing calculations adhere to deterministic business rules, ensuring accurate and error-free arithmetic and governance.
Yes, AI accurately extracts specifications, quantities, and intent from unstructured emails.
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