Method for hotel group division and demand forecasting

A demand forecasting and hotel technology, which is applied in the field of hotel management, can solve the problem of unstable single hotel data forecasting results, achieve the effect of reducing difficult or unstable forecasting results, and improving forecasting accuracy and coverage

Inactive Publication Date: 2016-12-07
CTRIP COMP TECH SHANGHAI
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problems in the prior art that there is no group division of hotels, so that the prediction results of single hotel data are not stable due to sparseness; provide a method for hotel group division and demand forecasting

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for hotel group division and demand forecasting
  • Method for hotel group division and demand forecasting
  • Method for hotel group division and demand forecasting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention is further illustrated below by means of examples, but the present invention is not limited to the scope of the examples.

[0042] Such as figure 1 As shown, a method for hotel group division and demand forecasting, the method for hotel group division and demand forecasting includes:

[0043]S1, using the latitude and longitude information, business district attributes, and first historical sales volume information of each hotel with the same city attribute to correct multiple business districts in the same city.

[0044] In the present invention, the first historical sales volume of the hotel includes the sales volume of the hotel in at least the last 12 months.

[0045] Such as figure 2 As shown, step S1 includes:

[0046] S1.1, according to the latitude and longitude information of each hotel, judge whether there is a hotel with abnormal longitude and latitude that does not match the city attribute; when there is a hotel with abnormal longit...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for hotel group division and demand forecasting. The method includes the steps that firstly, a plurality of business areas of the same city are corrected; secondly, all hotels in all the corrected business areas are divided into a plurality of hotel groups; finally, the demand forecasting results of all the hotel groups in forecasting months are obtained. According to the method, hotel group division is carried out on all the hotels of the same city, the sale quantity of the hotel groups is further forecasted, the difficult forecasting or the unstable forecasting result, caused by sparsity, of single piece of hotel data is reduced, and the direction guiding effect on business procurement is achieved; the forecasting accuracy and the coverage degree of the hotels can be increased.

Description

technical field [0001] The invention relates to the technical field of hotel management, in particular to methods for hotel group division and demand forecasting. Background technique [0002] In the prior art, due to the sparse data of a single hotel, the accuracy of predicting future hotel demand is not good, and the future demand of hotels cannot be accurately predicted. At the same time, many small hotels and newly opened hotels have very little historical data, which makes it impossible for existing technologies to use historical data for prediction. Contents of the invention [0003] The purpose of the present invention is to solve the problems in the prior art that hotels are not divided into groups, so that the prediction result of a single hotel is unstable due to sparse data; and to provide methods for hotel group division and demand forecasting. [0004] In order to achieve the above object, the present invention is achieved through the following technical solu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/12
CPCG06Q10/04G06Q50/12
Inventor 吴丽婷姚慧赵华
Owner CTRIP COMP TECH SHANGHAI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap