yield-management

Collection of some revenue management tools for Python 3

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.

Automotive Asset Management for owners in Barcelona. Maximizing revenue via Getaround & Amovens.

An intelligent dynamic pricing system powered by Reinforcement Learning (Deep Q-Network) and Supabase (PostgreSQL). This project simulates a retail environment to optimize pricing strategies for maximizing revenue while maintaining competitive positioning.

Production guides for dynamic pricing systems, OTA integrations, occupancy forecasting, and rule-based pricing workflows in travel & hospitality.

Ad inventory and yield management platform: dynamic pricing, rate cards, product packaging, and guaranteed vs programmatic yield optimisation over Kafka and DynamoDB.

SMT production line yield dashboard with .NET 8, SignalR realtime push, SPC control chart and Pareto defect analysis.

✈️ Un simulateur interactif de surbooking aérien utilisant la loi binomiale et les simulations de Monte-Carlo pour optimiser le compromis risque/profit. Développé pour le Grand Oral de Mathématiques 2026. Modélisation financière réaliste et analyse de la Value at Risk (VaR).

Agenda yield cockpit for service businesses — occupancy, no-show risk, confirmation backlog and recoverable revenue.