METHODS AND SYSTEMS FOR SETTING OPTIMAL HOTEL PROPERTY PRICES
A method and system for setting the optimal price for a hotel property are described. The method includes the steps of receiving electronic data having marketing information, including, for example, the customers won and lost by competitors. One or more price sensitivity coefficients are calculated based on the market data. The price sensitivity coefficients are used to calculate a predicted share value representing the probability that a next customer will book a property at the subject hotel at a particular price. The price sensitivity coefficients are also used to calculate a price elasticity value representing the responsiveness of demand for the hotel property to a change in the price of that property. The price of the hotel property is set at a point where the price elasticity value is substantially equal to −1.0.
1 . A computer-based method for setting the optimal price for a hotel property, the method comprising the steps of:
receiving electronic data having market data including the number of customers won and lost by competitors at corresponding prices;
calculating one or more price sensitivity coefficients based on the market data;
calculating a predicted share based on the price sensitivity coefficients;
calculating a price elasticity value based on the price sensitivity coefficients;
setting the price of the hotel property at a point where the price elasticity value is substantially equal to −1.0.
2 . The method of claim 1 , further comprising the step of limiting the set price if the set price is outside a predetermined operating range.
3 . The method of claim 1 , further comprising the step of transmitting the set price of the hotel property to booking providers.
4 . The method of claim 1 , wherein the one or more price sensitivity coefficients are calculated using a binomial logistic regression.
5 . A computer-based method for setting the optimal price for a hotel property, the method comprising the steps of:
receiving competitor market data including a plurality of hotel property prices and the number of customers won and lost by competitors at each price of the plurality of prices;
calculating price sensitivity of hotel property based on the market data;
determining an optimal price as the point of maximum revenue based on the price sensitivity; and
automatically setting the price of the hotel property at the optimal price.