Hotel room price adjustment system and method based on machine learning, and computer device

A machine learning and hotel technology, applied in computing, instruments, market forecasting, etc., can solve problems such as inability to maximize hotel revenue, large errors, and insufficient immediacy

Pending Publication Date: 2021-06-22
曾玲
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the immediacy of this manual intervention is not enough, and the error of manual intervention is very large
As a result, the hotel's revenue cannot be maximized

Method used

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  • Hotel room price adjustment system and method based on machine learning, and computer device
  • Hotel room price adjustment system and method based on machine learning, and computer device

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Embodiment Construction

[0042] The following description serves to disclose the present invention to enable those skilled in the art to carry out the present invention. The preferred embodiments described below are only examples, and those skilled in the art can devise other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents and other technical solutions without departing from the spirit and scope of the present invention.

[0043]Those skilled in the art should understand that in the disclosure of the present invention, the terms "vertical", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientation or positional relationship indicated by "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, which are only for the convenience of describing the present invention ...

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PUM

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Abstract

The invention discloses a hotel room price adjustment system and method based on machine learning, and a computer device. The method comprises the steps: determining the hotel level of a current pricing hotel and the monthly and weekly basic price of each room type of the hotel with the highest income at the same level; determining a monthly coefficient ratio and a weekly coefficient ratio according to the monthly and weekly prices of each room type in hotels with the highest income at the same level, wherein the monthly coefficient ratio is the ratio of the average price of the hotels with the highest same-level income in the month when the room type is rented to the average price of the hotels with the highest same-level income in any month before the room type is rented, and the week coefficient is implemented as the ratio of the average price of the hotels with the highest same-level income in the week of the current month during pricing to the average price of the hotels with the highest same-level income in any week before the room type is rented; and determining the room type and the pricing time of the current pricing hotel.

Description

technical field [0001] The invention relates to a hotel room price adjustment method, in particular to a machine learning-based hotel room price adjustment system, method and computer device. Background technique [0002] With the development of the times, the globalization of goods or services is increasing. Prices for goods or services of different qualities can vary enormously. For the provider of goods or services, the basic requirement is to maximize profits. But profit maximization corresponds to high pricing and low cost of goods or services. And low cost usually corresponds to low quality, so it is difficult to stimulate consumers to buy corresponding goods or accept corresponding services. [0003] The hotel provides convenient living for users who travel far. But as a hotel manager, maximizing the benefits is always the goal he pursues. However, existing hotels blindly refer to other hotels when pricing hotel rooms, which is unscientific, unsystematic, and lac...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/02G06Q50/12
CPCG06Q10/04G06Q30/0206G06Q50/12
Inventor 曾玲
Owner 曾玲
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