CN115829662A - Hotel guest room price dynamic updating method - Google Patents
Hotel guest room price dynamic updating method Download PDFInfo
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- CN115829662A CN115829662A CN202310010819.5A CN202310010819A CN115829662A CN 115829662 A CN115829662 A CN 115829662A CN 202310010819 A CN202310010819 A CN 202310010819A CN 115829662 A CN115829662 A CN 115829662A
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Abstract
The invention provides a hotel room price dynamic updating method, and relates to the technical field of hotels. The hotel guest room price dynamic updating method comprises the following steps: collecting the sales room volume and the sales price of each sales channel in a certain time period; step two: classifying and counting the types of the hotel rooms, and dividing the whole year into different seasons according to the number of festivals; step three: counting the number of people who live in the self-operated channel, performing multi-platform data networking, and comprehensively counting the number of people who live in the OTA in different channels; step four: checking the number of people living in the self-operated channel and the number of people living in the OTA of the multi-channel, and uploading data; step five: and adjusting the distribution strategy and the pricing strategy of each channel according to the dynamic price adjusting model and the demand price elastic model, and further recalculating the price and the salable room volume of each channel. The method for dynamically updating the hotel guest room price provided by the invention has the advantage of effectively improving the hotel income.
Description
Technical Field
The invention relates to the technical field of hotels, in particular to a method for dynamically updating prices of guest rooms of a hotel.
Background
A guest room is a place where a hotel prepares guests for services such as lodging and leisure and entertainment. Hotels may set up different kinds of rooms according to different needs and purposes of guests. Hotels may set up different types of rooms according to different needs and uses of guests. The room classification standards of different regions, different levels, different types and different brands of hotels are not uniform.
The charging standards of different rooms are different, at present, when the price of a hotel room is displayed externally, channel prices are not established in a mode of combining price strategies and distribution strategies, and optimal pricing cannot be determined on the basis of demand functions of different channels, different room types and different time, so that the income of the hotel is influenced.
Therefore, there is a need to provide a new method for dynamically updating the price of hotel rooms to solve the above-mentioned technical problems.
Disclosure of Invention
In order to solve the technical problems, the invention provides a hotel room price dynamic updating method capable of effectively improving the income of a hotel.
The hotel guest room price dynamic updating method provided by the invention comprises the following steps:
the method comprises the following steps: collecting the sales room volume and the sales price of each sales channel in a certain time period;
step two: classifying and counting the types of the hotel rooms, and dividing the whole year into different seasons according to the number of festivals;
step three: counting the number of people who live in the self-operated channel, performing multi-platform data networking, and comprehensively counting the number of people who live in the OTA in different channels;
step four: checking the number of people living in the self-operated channel and the number of people living in the OTA of the multi-channel, and uploading data;
step five: adjusting the distribution strategy and the pricing strategy of each channel according to the dynamic price adjusting model and the demand price elastic model, and further recalculating the price and the amount of the saleable rooms of each channel;
step six: and comparing the sales price and the amount of the saleable rooms of each sales channel with the sales price and the amount of the saleable rooms collected before, and automatically updating the sales price and the amount of the saleable rooms of each sales channel when the sales price and the amount of the saleable rooms of each sales channel are different.
Preferably, the dynamic price adjustment model is as follows:
，
wherein S represents the price of the hotel room,
representing the room price of the self-service channel of the hotel guest room,
represents the price of the OTA channel, and
the number of people who live in the self-service channel,
the number of the people who live in the OTA channel.
Preferably, the demand price elastic model is:
，
wherein Y represents demand, X represents price, and the logarithm of sales and price is in linear relation,
representing the flexibility of the price of the demand,
representing sales, e house type, u season.
Compared with the related technology, the hotel room price dynamic updating method provided by the invention has the following beneficial effects:
1. the invention provides a hotel guest room price dynamic updating method, which is characterized in that based on a channel guest room pricing model under the condition of uncertain demand, pricing optimization schemes of different channels, different room types and different seasons are provided, and channel prices are formulated by adopting a mode of combining price strategies and distribution strategies, so that the hotel income can be effectively improved;
2. the invention adopts a price updating strategy of actively updating the price and the amount of available rooms, reduces the workload of synchronizing the room price information and effectively improves the price adjusting updating period.
Detailed Description
The present invention will be further described with reference to the following embodiments.
A hotel room price dynamic updating method comprises the following steps: the method comprises the following steps: collecting the sales room volume and the sales price of each sales channel in a certain time period;
step two: classifying and counting the types of the hotel rooms, and dividing the whole year into different seasons according to the number of festivals;
step three: counting the number of people who live in the self-operated channel, performing multi-platform data networking, and comprehensively counting the number of people who live in the OTA in different channels;
step four: checking the number of people living in the self-operated channel and the number of people living in the OTA of the multi-channel, and uploading data;
step five: adjusting the distribution strategy and the pricing strategy of each channel according to the dynamic price adjusting model and the demand price elastic model, and further recalculating the price and the amount of the saleable rooms of each channel;
step six: and comparing the sales price and the amount of the saleable rooms of each sales channel with the sales price and the amount of the saleable rooms collected before, and automatically updating the sales price and the amount of the saleable rooms of each sales channel when the sales price and the amount of the saleable rooms of each sales channel are different.
The dynamic price adjustment model is as follows:
，
wherein S represents the price of the hotel room,
representing the room price of the self-service channel of the hotel guest room,
represents the price of the OTA channel, and
the number of people who live in the self-service channel,
for entry of OTA channelsThe number of people living.
The demand price elastic model is as follows:
，
wherein Y represents demand, X represents price, and the logarithm of sales and price is in linear relation,
representing the flexibility of the price of the demand,
representing sales, e house type, u season.
Need to explain: the channel guest room pricing model is given based on the uncertain condition of demand, pricing optimization schemes of different channels, different room types and different seasons are provided, channel prices are established by combining price strategies and distribution strategies, hotel income can be effectively improved, price updating strategies for actively updating prices and available room volume are adopted, room price information synchronization workload is reduced, and price adjusting updating period is effectively prolonged.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by the present specification, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (3)
1. A hotel room price dynamic updating method is characterized by comprising the following steps:
the method comprises the following steps: collecting the sales room volume and the sales price of each sales channel in a certain time period;
step two: classifying and counting the types of the hotel rooms, and dividing the whole year into different seasons according to the number of festivals;
step three: counting the number of people who live in the self-operated channel, performing multi-platform data networking, and comprehensively counting the number of people who live in the OTA in different channels;
step four: checking the number of people living in the self-operated channel and the number of people living in the OTA of the multi-channel, and uploading data;
step five: adjusting the distribution strategy and the pricing strategy of each channel according to the dynamic price adjusting model and the demand price elastic model, and further recalculating the price and the amount of the saleable rooms of each channel;
step six: and comparing with the sales price and the amount of the salable rooms of each sales channel collected before, and automatically updating the sales price and the amount of the salable rooms of each sales channel when the sales price and the amount of the salable rooms of each sales channel are different.
2. The hotel room price dynamic updating method according to claim 1, wherein the dynamic price adjustment model is:
，
wherein S represents the price of the hotel room,
representing the room price of the self-operating channel of the hotel guest room,
represents the price of the OTA channel, an
The number of people who live in the self-service channel,
the number of people living in the OTA channel.
3. The method for dynamically updating hotel room prices according to claim 1, wherein the demand price elasticity model is:
，
wherein Y represents demand, X represents price, and the logarithm of sales and price is in linear relation,
representing the flexibility of the price of the demand,
representing sales, e house type, u season.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310010819.5A CN115829662A (en) | 2023-01-05 | 2023-01-05 | Hotel guest room price dynamic updating method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310010819.5A CN115829662A (en) | 2023-01-05 | 2023-01-05 | Hotel guest room price dynamic updating method |
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| Publication Number | Publication Date |
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| CN115829662A true CN115829662A (en) | 2023-03-21 |
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| CN202310010819.5A Pending CN115829662A (en) | 2023-01-05 | 2023-01-05 | Hotel guest room price dynamic updating method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117649272A (en) * | 2023-12-11 | 2024-03-05 | 南京航旅睿连科技有限公司 | Dynamic pricing method and system for domestic air ticket products |
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2023
- 2023-01-05 CN CN202310010819.5A patent/CN115829662A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117649272A (en) * | 2023-12-11 | 2024-03-05 | 南京航旅睿连科技有限公司 | Dynamic pricing method and system for domestic air ticket products |
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