Revenue Management Lab
They’re designed to show how small changes in data and decision-making can lead to very different outcomes.
Each one takes less than a minute — and usually produces a result that’s not what you expect.
A set of working models and tools exploring how revenue management systems behave under different conditions. These are simplified, but designed to make structure and tradeoffs visible.
Current Tools
AI and RM: Task Readiness Framework
Breaks down revenue management tasks by their readiness for automation, agent support, or human judgment, highlighting where AI adds value today and where human decision-making remains essential.
Dirty Data Simulation
Compares how data quality impacts revenue decisions by running the same scenario with clean and typical real-world data, highlighting the effect on outcomes.
Interactive tools for thinking about revenue management systems
Experimental Systems
Agentic RM Sandbox
A hands-on environment for experimenting with agentic AI in revenue management. Test how AI-driven systems respond to changing demand, pricing constraints, operational tradeoffs, and imperfect data.
RM Talent Pipeline
Explores how AI may reshape the path from junior analyst to senior revenue leader, and where experience, judgment, and mentoring still need to be deliberately developed.