Procurement Decision Modeling with Generative AI: Optimizing Partner Selection Through Interactive Content Signals

FreeFuse is exploring how the choices users make within interactive content can reflect deeper preferences, risk tolerances, or learning gaps—which could also inform procurement or partnership decisions. In this project, students will design a procurement decision model that uses: User behavior data from FreeFuse content to infer buyer intent or partner alignment Generative AI tools (like ChatGPT or Claude) to simulate decision trade-offs (cost vs. risk, speed vs. quality) Scoring frameworks to evaluate which supplier or vendor path makes the most sense The final system should help recommend vendor or fulfillment options based on soft signals (user decisions), AI-driven inference, and traditional procurement factors.

CRM Strategy Blueprint for Multi-Segment User Engagement at FreeFuse

FreeFuse has a diverse user base that includes creators, educators, enterprise clients, and innovation partners. This project will help develop a CRM strategy blueprint that identifies key user segments, maps out lifecycle stages, and outlines communication cadences. Students will create a data-driven CRM engagement plan that addresses how to manage creators differently from enterprise contacts, and how to transition engaged leads into partner-level relationships. The focus will be on enabling FreeFuse to scale engagement without losing personalization.

Smart Self-Service Kiosk – Market Feasibility & Prototyping

This project will focus specifically on the self-service kiosk industry , examining how video-driven decision-making can enhance automation in retail environments such as convenience stores, fast food outlets, and vending machines. Instead of broadly covering multiple industries, students will concentrate on market research and prototyping for a single use case , making the project more structured and feasible within an academic setting. Students will conduct research on industry feasibility, develop a conceptual prototype , and present business insights for implementing an interactive video-based self-service kiosk.

SegmentFuse - Adaptive UX through User Journey Clustering

FreeFuse content is navigated in non-linear paths. This project will analyze those user journeys and develop a clustering engine that groups viewers into segments based on interaction styles. These clusters will enable real-time content personalization and adaptive UX. Students will build a backend microservice to identify behavioral patterns and build content delivery logic for distinct personas.