Responding to automotive RFQs and RFPs requires deep engineering expertise, compliance knowledge, and extensive manual effort. Marvel Tech US developed the Automated Intelligence Platform to help suppliers dramatically reduce response time while improving consistency, accuracy, and compliance.
Powered by advanced AI models and automotive-specific intelligence, the platform analyzes complex RFQ documents, interprets engineering requirements, and generates standards-compliant response drafts in hours instead of weeks.
Before
After
Step 1 — Ingest
Upload RFQ documents, engineering drawings, CAD files, and supporting specifications.
Step 2 — Analyze
AI extracts, classifies, and prioritizes requirements across all submitted documents.
Step 3 — Gap Analysis
The platform compares requirements against supplier capabilities, certifications, and historical bid intelligence.
Step 4 — Generate
AI creates a compliant RFQ response draft tailored to OEM standards and customer expectations.
Powered By
GPT-4, Claude, and Llama 3 combined with automotive-specific system prompts and engineering intelligence.
Requirements Register
Categorized list of mandatory, preferred, and informational requirements mapped to APQP phases.
Gap Analysis Report
Side-by-side comparison of RFQ requirements versus supplier capabilities.
GD&T Interpretation Report
Plain-language explanation of geometric tolerances and engineering specifications.
Compliance Checklist
Validation against APQP, PPAP, IATF 16949, and OEM-specific compliance standards.
Draft RFQ Response
AI-generated OEM-formatted response draft customized to supplier capabilities and requirements.
Feasibility & Risk Summary
Identification of technical risks, missing information, and clarification questions before submission.
