MCP server for revmng: revenue-management decisions for AI agents: seat protection (Littlewood, EMSR, exact DP), overbooking, pricing, group, length-of-stay, network bid prices, and charts.

Revenue management for Python: single-leg seat protection (Littlewood, EMSR, exact DP), overbooking, pricing, group displacement, length-of-stay and network bid prices. Validated against published worked examples.

Multi-tier supply chain bullwhip effect simulator

End-to-end demand forecasting with LightGBM point & quantile models, conformalized prediction intervals, and newsvendor policy optimization. From raw sales data to stocking decisions.

Personal website of Frank Huettner