Study how price, demand, capacity, and uncertainty interact in a simulated pricing problem. Compare constrained policies with a fixed-price baseline without ass
Last reviewed: 2026-10-03
Dynamic pricing connects price choices with uncertain demand over time. Research on demand covariates studies how a decision maker can learn demand while selecting prices. The assumptions behind a demand model determine which conclusions a simulation can support.
Start with simulated demand and explicit price and capacity limits. Historical price-demand associations may reflect seasonality, promotions, availability, or earlier pricing decisions. Compare policies under several assumptions, and keep experimental recommendations separate from permission to change customer prices.
Not on its own. Other variables and the way earlier prices were chosen can confound the relationship. State assumptions and use an appropriate evaluation design.