Transforming RFx with AI-powered Knowledge Management

Authors:
Nastasja Zaunick, Johnny Paredes
MIT Supply Chain Management Program (SCM)

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Summary:
This Capstone project aims to transform supplier and market engagement by leveraging data from past Request for Information/Request for Proposal/Request for Quote (RFx) events with the help of AI to optimize future RFx events, enhance decision-making, and enable more efficient supplier discovery and RFx execution. By developing a proof of concept that integrates Generative AI, Retrieval-Augmented Generation (RAG), and Prompt Engineering, we deliver a centralized knowledge base and an AI-powered chatbot. The solution equips procurement professionals with seamless access to actionable supplier insights, enhances institutional knowledge retention, and provides a scalable framework to address evolving future needs.


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