Team
F&B Operations Agentic Assistant
Project Concept
Transforming hotel F&B operations from reactive firefighting to predictive automation through autonomous agents.
• Goal: Build an autonomous F&B agent analysing weather and events to predict attendance and engage actions
• Approach: Agentic AI with intent prediction + autonomous actions + evaluation + explainability
Entry
Status: Submitted
Last saved: November 15 at 5:59 PM CET
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Ivan Murard Team Lead
Product Manager at Ivan de Murard
Lead - Solo Developer
Ivan Murard is a Product Manager currently open to new opportunities. With experience at Fortil and leading product initiatives as a B2B SaaS entrepreneur, he specializes in translating user needs into compelling solutions. His tinkering mindset drives continuous improvement and innovative thinking. He shares insights on Twitter as @ivanmurard and maintains a professional profile on LinkedIn at https://www.linkedin.com/in/ivandemurard/. Ivan is actively seeking roles where he can leverage his product management expertise to create value.
AI Product management, 0→1, UX/CX, MVP design & rapid prototyping, User testing, SaaS product discovery, SaaS onboarding & customer success, Data-driven product decisions & analytics, Dashboarding (billing/revenue), Cross-functional stakeholder coordination, Frontend engineering (TypeScript, React), Light backend (Node.js, Supabase), Python scripting/automation, Agile/PSPO
I am working on an agentic Hospitality F&B AI product.
THE FRICTION:
• Hotel restaurants generate massive data
• Managers make reactive decisions (always firefighting)
• Current tools = passive, not proactive
THE SOLUTION:
• Build: An autonomous F&B agent analysing weather and events to predict attendance and engage actions
• Approach: Agentic AI with intent prediction + autonomous actions + evaluation + explainability
• MVP: Weather + events → Agent predicts demand → Acts autonomously