Case Study

NeuralTools Assists Airline to Determine the Most Profitable Price Points – Palisade

NeuralTools Assists Airline to Determine the Most Profitable Price Points – Palisade

Pages 5 Pages

Customers & Industries: Commercial Airline Industry: Transport Product(s): NeuralTools Application: Demand and Pricing Elasticity Summary A domestic airline catering to the tourism industry in Costa Rica needed a model for predicting demand and price elasticity. This predicting model uses neural networks technology powered by Palisade’s NeuralTools application. NeuralTools Home Customers & Industries Commercial Airline While demand and price elasticity is not an exact science, NeuralTools helped the airline by utilizing data it already had to determine the most profitable price point and adjust it based on the numerous factors that impact air travel. Fernando Hernández, Senior Risk Consultant and Trainer, Palisade Corporation “ ” NeuralTools Assists Airline to Determine the Most Profitable

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