Case Study · 01 / 10

RFQ & Proposal Automation

Cut RFQ preparation time by more than 50%, raised compliance clause accuracy to 98%, and lifted win rate on large-scale tenders.

Prescriptive AIAutomotive & Energy

-50%

Prep time

98%

Clause accuracy

Automated

Compliance

Challenge

Proposal preparation ran 3-4 weeks per RFQ, prior submission knowledge was siloed across SharePoint and mailboxes, and compliance clauses were manually cross-checked with high error rates.

Solution

Built a RAG pipeline over a chunked, embedded corpus of prior proposals and compliance docs (pgvector + BM25 hybrid retrieval, Cohere rerank), wrapped in a LangChain agent that drafts sections against a template DSL and auto-cites clauses.

Impact

Cut RFQ preparation time by more than 50%, raised compliance clause accuracy to 98%, and lifted win rate on large-scale tenders.

Tech stack

LangChainpgvectorGPT-4Cohere RerankFastAPIPostgres

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