Airline income management dynamic pricing method based on block chain

Abstract

The invention discloses an airline income management dynamic pricing method based on a block chain. The method comprises the following steps of S1, constructing a big data platform based on the blockchain; S2, constructing a shipping space price prediction model by utilizing the big data platform, and predicting a shipping space price; S3, taking a shipping space price prediction result as inputdata, and constructing a dynamic pricing model; S4, constructing a personalized product recommendation model based on deep learning in combination with passenger feature information provided by the passenger portrait; and S5, optimizing and evaluating the personalized product recommendation model to obtain an income management decision. According to the method, the blockchain and the big data platform are fused, and a protected data source is provided, so data extraction becomes safe and reliable, and prediction precision of the shipping space price is improved, besides, based on deep learning, customer demands are analyzed through passenger portraits and demand statistics so that accurate capture of the income of the target customer group can be realized, and decision-making requirementsof actual airlines, airports and policies can be met.

Description

Technical field [0001] The invention relates to the technical field of block chains, in particular to a dynamic pricing method for airline revenue management based on block chains. Background technique [0002] Revenue management is a process by which airlines selectively accept various types of passengers in order to maximize revenue. It is a computer management system that integrates manpower and technology. Through the flight revenue maximization decision-making model, it is possible to estimate the different fares of each flight. The demand probability distribution curves of different classes of service are used to determine inventory control and discount fares and maximize revenue. [0003] The key to dynamic pricing is to maximize the airline's revenue through pricing strategies and use appropriate methods to determine the optimal time for price changes. However, most of the current research focuses on the revenue management of inventory allocation, and the revenue management...

AI Technical Summary

Problems solved by technology

[0003] The key to dynamic pricing is to maximize the revenue of airlines through pricing strategies and use appropriate methods to determine the optimal time for price changes. However, most of the current research focuses on the revenue management of inventory allocation, while the revenue management method based on price decisions Relatively few, and because the traditional seat control model does not consider the behavior of passengers, there are limitations in the applicability of multi-fare levels. In addition, the domestic revenue management system still has certain limitations in data storage and data utilization. Flaws, need a more secure way to save data

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