[Discovery Track] Deal Room

Inspiration

Fortune 500s lose up to 25% of potential savings to negotiation blind spots. Our AI coach closes that gap with organizational local data and realistic supplier simulations—unlocking 15–20% more value.

What it does

Deal Room is an AI-powered negotiation training platform that lets supply chain professionals practice with virtual suppliers using organizational local data. Our AI agent generates personalized deal points, provides real-time leverage scores during conversations, and delivers post-call insights with quantified savings opportunities.

How we built it

Built with React TypeScript frontend and Python FastAPI backend, integrated with Vapi for real-time voice AI conversations. The system processes spend/RFP/BAFO data to create supplier scenarios, uses our AI agent for dynamic leverage scoring, and provides real-time TCO recalculation during practice negotiations.

Challenges we ran into

Subjectivity in leverage scoring: Converting qualitative conversation dynamics into reliable quantitative metrics that users trust
Disparate data sources: Integrating inconsistent spend data formats, RFP structures, and BAFO terms across different suppliers and systems
Real-time performance: Ensuring sub-600ms response times for natural conversation flow while maintaining AI agent accuracy
User adoption: Creating an intuitive interface that procurement professionals would actually use for practice rather than traditional training methods

Accomplishments that we're proud of

AI agent reliability: Successfully implemented consistent leverage analysis based on conversation quality rather than just mathematical gaps
Real-time updates: Achieved <300ms response times for live conversation analysis and coaching
Data flexibility: Built system that handles messy, inconsistent supply chain data from multiple sources
User engagement: Created compelling practice environment that supply chain teams actually want to use

What we learned

Customer needs: Supply Chain teams want practice, not just analysis - they need to build confidence through simulation
Data complexity: Real-world Supply Chain data is messier than expected, requiring robust parsing and normalization
User experience: Real-time feedback needs to be subtle but impactful to avoid overwhelming users during practice
AI agent capabilities: Our agent can effectively analyze conversation dynamics and provide actionable coaching

What's next for Deal Room

Neo-Chain platform integration: Seamless connection with local Spend, RFP, Negotiation analysis, and BAFO data generated directly within the Neo-Chain platform for authentic scenario creation
Training data incorporation: Leverage historical negotiation outcomes and best practices to improve AI agent coaching accuracy
Gamification features: Badge system for negotiation milestones, leaderboards for team performance, and achievement tracking to drive engagement
Mobile optimization: Native mobile app for on-the-go negotiation practice and quick scenario reviews
Team collaboration: Multi-user sessions with peer coaching, team leaderboards, and organizational learning insights