Hotel price information pushing method, pushing system and storage medium

Abstract

The invention provides a hotel price information pushing method, a pushing system and a storage medium. The hotel price information pushing method comprises steps: hotels with stock rooms are selected; a hotel priority list is formed through ranking; according to the hotel priority list, the outside website price of each room type in each hotel is acquired; query information at a client is acquired, whether the corresponding each room type in each hotel has a matched outside website price is judged, and if yes, according to a preset lowest price of the room type in the hotel, a bottom price of a resource side of the room type in the hotel and the outside website price of the room type in the hotel, the real-time price of the room type in the hotel is set; if not, according to the bottom price of the resource side of the room type in the hotel, outside website prices of other room types in the hotel and the bottom prices of the resource side of the other room types in the hotel, the real-time price of the room type in the hotel is set; and the real-time price is pushed to the client. Based on the outside website price and a miscellaneous policy, real-time pricing is carried out, the real-time price is displayed in the case of query by the user, and profit maximization is realized.

Description

technical field [0001] The invention relates to the field of hotel price information management, in particular to a method, system and storage medium for pushing hotel price information. Background technique [0002] Existing online pre-sale websites for hotel services, such as Online Travel Agents (OTA for short), mainly set prices according to different physical room types of the hotel when pricing, and store the prices in the database after pricing, and call the database when customers inquire. The price data in shows house prices. [0003] When pricing, in order to ensure the price competitiveness of the OTA itself, it is usually necessary to combine the base price of the resource side and the price of the external website to formulate a price that not only benefits users but also maximizes revenue. There are two problems with this process: [0004] First, the base price and inventory of different resource parties are constantly changing, and the database needs to be c...

AI Technical Summary

Problems solved by technology

[0004] First, the base price and inventory of different resource parties are constantly changing, and the database needs to be called for each pricing, and the response speed is slow;

[0005] Second, the prices of external websites are constantly changing, and the strategy of obtaining prices from external websites is backward and cannot be fully covered, while the manual verification workload is huge and inefficient;

[0006] Therefore, users cannot enjoy the lowest price in the market, OTA cannot achieve the maximum profit, and resource side orders are allocated unfairly, etc.

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