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This case study describes Comtrade 360’s Tender Intelligence, an internal applied AI system that automatically collects public tenders from three procurement portals, analyses the tender documents, filters opportunities, scores them across six business dimensions, performs legal/contract risk review, and presents a ranked Go/No-Go shortlist in a live dashboard. The same pipeline was implemented and compared across five agent frameworks to prove portability and reduce technology lock-in.
Automated tender discovery, filtering, scoring, and legal review across three procurement portals.
Six-dimension AI scoring with configurable weights, reason codes, and Go/No-Go recommendations.
Live dashboard with ranked opportunities, executive briefs, and market insights.
Privacy-first, framework-agnostic architecture with local model inference and flexible deployment options.
The solution automates the process and accelerates tender qualification by automatically screening every published opportunity against a consistent, explainable rubric. Bid teams can focus on the strongest matches while keeping confidential tender documents on-premises. The pipeline was also validated across five agent frameworks and languages, demonstrating a portable and adaptable architecture.
Download the full case study to explore how Comtrade 360 built an AI-powered tender intelligence pipeline that accelerates opportunity qualification while keeping sensitive procurement data private.