Case Study: Large US Publisher achieves faster RFP processing and actionable market insights with Cortical.io's SemanticPro Extract & Analyze

A large US publisher accelerated the RFP process while gaining key market insights

Large US Publisher, a US-based media conglomerate owning more than 40 publications, faced a backlog of roughly 100 RFPs per week (about 5,000 messages and many attachments yearly) that needed fast, accurate classification and data extraction. Previous automation efforts failed because RFPs arrive as highly unstructured email bodies or diverse attachments (Word, PowerPoint, Excel), often lack punctuation, and contain sparse context and varied extraction targets. To address this, the publisher engaged Cortical.io and its SemanticPro Extract & Analyze solution.

Cortical.io implemented SemanticPro Extract & Analyze to automatically extract a dozen key attributes from RFPs (due date, opportunity size, vertical, campaign timeframe, target audience, client/agency, ad product types, etc.), infer missing punctuation, and handle short, noisy texts with higher accuracy than prior ML approaches. The system filters low-confidence items for human review and exports structured outputs (Excel/JSON) for BI tools; this shortened RFP review time, increased responsiveness (supporting higher deal close rates), and produced market-trend insights that help Sales adapt strategy and assess risks and opportunities.