Hotel bargaining transaction platform oriented to user pricing right

Abstract

The invention discloses a hotel bargaining transaction platform for user pricing right, and the platform comprises a user terminal which is used for obtaining a guest room demand of a user and a corresponding expected price; the merchant terminal is used for acquiring guest room information of a merchant; the hotel matching module is used for matching target guest rooms meeting guest room requirements for the users; the guest room reservation module is used for completing guest room reservation ordering for the user based on the information of the target guest room and the expected price of the user; the bargaining negotiation module is used for sending the information of the target guest room and the return price of the merchant to the corresponding user terminal when the order receiving feedback information is the return price; and the guest room reservation module is also used for completing guest room reservation ordering for the user based on the information of the target guest room and the returned price of the merchant. According to the invention, the user can actively participate in the guest room pricing process, so that the bargaining capability and satisfaction of the user are improved; the merchant can receive or return the price according to the expected price of the user, flexibly adjust the price strategy of the guest room and improve the own income.

Description

Technical Field

[0001] The present invention relates to the field of hotel reservation and big data technology, and in particular to a hotel bargaining transaction platform oriented to user pricing power. Background Art

[0002] Online hotel booking has become a convenient choice for modern travel. You can browse a wide range of hotel information, including location, price, user reviews and facility details, through mobile terminals. By comparing different options, users can easily find ideal accommodation that meets their budget and needs. The online booking system also supports instant confirmation and prepayment functions to ensure a worry-free trip. In addition, many platforms also offer promotional activities such as coupons and points rewards to help users save money. Whether it is a business trip or a leisure vacation, online hotel booking can provide a one-stop solution to make travel planning more efficient, flexible and comfortable.

[0003] However, there is still a problem with the current online hotel booking method, that is, users can only book hotel rooms with website intermediaries according to the prices displayed on the website or APP, and cannot communicate and negotiate prices directly with one or several hotel merchants, resulting in users only passively accepting standardized services, with little choice and no bargaining. In fact, from the user's perspective, they hope to communicate with multiple hotels and obtain preferential prices through a competitive bargaining model. From the merchant's perspective, when a hotel has vacant rooms, the merchant is willing to establish communication with interested users, and after bargaining, sell the vacant rooms at a preferential price. Because hotel rooms, as a special commodity, have a strong timeliness of value. Once the room is not sold in time, its value will be zero after expiration.

[0004] If the vacant rooms are sold at low prices in a non-public and negotiated manner, the hotel can still obtain good profits after spending little on cleaning fees, water and electricity fees, etc., and the preferential prices will not be made public and impact its normal market price system; at the same time, users can also benefit. Therefore, how to design a hotel bargaining transaction platform for user pricing power is a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of the deficiencies of the above-mentioned prior art, the technical problem to be solved by the present invention is: how to provide a hotel bargaining transaction platform oriented to user pricing power, so that users can actively participate in the room pricing process, thereby improving users' bargaining power and satisfaction; merchants can accept orders or bargain according to users' expected prices, flexibly adjust room price strategies and increase their own profits.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions: A hotel bargaining transaction platform for user pricing power, including: A user terminal is used to obtain the user's room demand and the corresponding expected price; Merchant terminal, used to obtain the merchant's room information; The hotel matching module is used to match the target room that meets the user's room needs from the merchant's room information; the target room information and the user's expected price are sent to the corresponding merchant terminal; After receiving the target room information and the user's expected price, the merchant terminal obtains the merchant's order feedback information; the order feedback information includes confirmation of the order information or the counter-offer price; The room reservation module is used to complete the room reservation order for the user based on the target room information and the user's expected price when the order feedback information is confirmed order information; The bargaining module is used to send the target room information and the merchant's bargaining price to the corresponding user terminal when the order feedback information is a bargaining price; After receiving the information of the target room and the counter-offer price of the merchant, the user terminal obtains the bargaining feedback information of the user; the bargaining feedback information includes confirming the order; The room reservation module is also used to complete the room reservation order for the user based on the information of the target room and the merchant's counter-offer price when the bargaining feedback information is to confirm the order information.

[0007] Preferably, the user's bargaining feedback information obtained by the user terminal also includes bargaining request information; The bargaining negotiation module is also used to establish a corresponding bargaining chat room for the corresponding user terminal and the merchant terminal when the bargaining feedback information is bargaining request information, so that the corresponding user terminal and the merchant terminal can communicate about the price in the bargaining chat room; The room reservation module is also used to obtain the bargaining price determined by the corresponding user terminal and the merchant terminal, and then complete the room reservation order for the user based on the information of the target room and the bargaining price.

[0008] Preferably, it also includes a reservation failure module; The user's bargaining feedback information obtained by the user terminal also includes bargaining rejection information; The bargaining negotiation module is also used to send a bargaining rejection message to the corresponding merchant terminal whose order feedback information is a counter-offer price when the bargaining feedback information is a bargaining rejection message; after the merchant terminal receives the bargaining rejection message, it obtains the merchant's secondary order feedback information; the secondary order feedback information includes confirming the order information or rejecting the order; The room reservation module is also used to complete the room reservation order for the user based on the target room information and the user's expected price when the secondary order feedback information is confirmed order information; The reservation failure module is used to send room reservation failure information to the corresponding user terminal when the secondary order feedback information is rejection of the order.

[0009] Preferably, the merchant's second order feedback information obtained by the merchant terminal also includes a second counter-offer price; The bargaining and negotiation module is also used to establish a corresponding bargaining chat room for the corresponding user terminal and the merchant terminal when the second order feedback information is a second bargaining price, so that the corresponding user terminal and the merchant terminal can communicate the price in the bargaining chat; The room reservation module is also used to obtain the bargaining price determined by the corresponding user terminal and the merchant terminal, and then complete the room reservation order for the user based on the information of the target room and the bargaining price.

[0010] Preferably, it also includes an active price change module; The active price modification module is used to send price modification reminder information to the corresponding user terminal when no order feedback information from any merchant is received within a certain period of time, so as to remind the user to actively modify his room demand and / or expected price.

[0011] Preferably, it also includes a room sorting module; The order sorting module is used to sort and display the target rooms and corresponding bargaining prices of each merchant in order from low to high when order feedback information from multiple merchants is received within a certain period of time and the multiple order feedback information contains multiple different bargaining prices, and send the sorting display results to the corresponding user terminal to guide the user to select the target room of the merchant with a lower bargaining price.

[0012] Preferably, the order sorting module is also used to further obtain the room score of each merchant when order feedback information from multiple merchants is received within a certain period of time and multiple order feedback information are all confirmed order information or the bargaining price is the same; sort and display the target rooms of each merchant in order from high to low according to the room score, and send the sorting display results to the corresponding user terminal to guide the user to select the target room of the merchant with a higher room score.

[0013] Preferably, it also includes a merchant price change module; The merchant price change module is used to send active price change suggestion information to each corresponding merchant terminal when receiving order feedback information from multiple merchants within a certain period of time and multiple order feedback information are all confirmed order information or the same counter-offer price, so as to remind the merchant to give a lower counter-offer price.

[0014] Preferably, it also includes a price suggestion module; The price suggestion module is used to obtain the user's room demand and reservation time through the user terminal; match the user with a target room that meets his room demand and reservation time; obtain the current price of the target room and the remaining number of rooms of the target hotel that includes the target room; obtain relevant event big data associated with the user's reservation time, and predict the room reservation growth rate of the target hotel at the user's reservation time based on the relevant event big data; calculate the vacancy rate of the target hotel at the user's reservation time based on the current remaining number of rooms of the target hotel and the predicted room reservation growth rate at the user's reservation time; predict the predicted price of the target room at the user's reservation time based on the current price of the target room and the vacancy rate of the target hotel at the user's reservation time; and send the predicted price of the target room to the corresponding user terminal.

[0015] Preferably, the price recommendation module is also used to predict the corresponding target room predicted price for each date when the user's booking time includes multiple dates; generate the target room predicted price change trend within the user's booking time based on the target room predicted price of each date; and send the target room predicted price change trend to the corresponding user terminal.

[0016] Compared with the prior art, the hotel bargaining transaction platform for user pricing power in the present invention has the following beneficial effects: In the present invention, the user's room demand and expected price are directly obtained through the user terminal, so that the user can actively participate in the room pricing process, which improves the user's bargaining power and satisfaction; the user can more intuitively understand the difference between his expected price and the actual market price, so as to make a more intelligent room booking decision. At the same time, the merchant terminal receives and processes the room demand from the user in real time, so that the merchant can quickly respond to the demand of the room market and improve the utilization rate of the room; the merchant can accept the order or counter-offer according to the user's expected price, and flexibly adjust the room price strategy, so as to realize the bargaining transaction of hotel rooms and improve its own income.

[0017] In the present invention, the hotel matching module accurately matches the guest room information of the merchant and the guest room requirements of the user, ensuring that the user can find a guest room that meets his or her needs. This accurate matching reduces the information asymmetry between the user and the merchant, thereby improving the efficiency and success rate of the hotel bargaining transaction. The bargaining negotiation module allows multiple bargaining between the user and the merchant, promotes the price competition of the guest room, makes the market price more reasonable and transparent, and the user can understand the quotations and counter-offers of different merchants at the same time, and make a more wise choice, thereby improving the success rate of the hotel bargaining transaction and the user experience. The room reservation module automatically completes the room reservation order after the user confirms the order, simplifies the reservation process, and is conducive to improving the user experience. It should be noted that the entire bargaining process in the present invention is non-public, and will not cause the merchant's room preferential price to be made public, thereby improving the privacy of the hotel bargaining transaction and protecting the interests of the merchant. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to make the purpose, technical solution and advantages of the invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings, in which: Figure 1 This is the logical block diagram of the hotel bargaining transaction platform oriented to user pricing power. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but only represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0020] The following is a further detailed description through specific implementation methods: Embodiment 1: This embodiment discloses a hotel bargaining transaction platform oriented to user pricing power.

[0021] like Figure 1 As shown, a hotel bargaining transaction platform for user pricing power includes: Several user terminals are respectively associated with corresponding users and used to obtain the user's room demand and the corresponding expected price; In this embodiment, the user's room requirements include hotel location area, hotel star rating, room size, and room type (such as king-size room, standard room).

[0022] Several merchant terminals are respectively associated with corresponding merchants and used to obtain the guest room information of the merchants; The hotel matching module is used to match the target room that meets the user's room needs from the merchant's room information; the target room information and the user's expected price are sent to the corresponding merchant terminal; After receiving the target room information and the user's expected price, the merchant terminal obtains the merchant's order feedback information; the order feedback information includes confirmation of the order information or the counter-offer price; The room reservation module is used to complete the room reservation order for the user based on the target room information and the user's expected price when the order feedback information is confirmed order information; The bargaining module is used to send the target room information and the merchant's bargaining price to the corresponding user terminal when the order feedback information is a bargaining price; After receiving the information of the target room and the counter-offer price of the merchant, the user terminal obtains the bargaining feedback information of the user; the bargaining feedback information includes confirming the order; The room reservation module is also used to complete the room reservation order for the user based on the information of the target room and the merchant's counter-offer price when the bargaining feedback information is to confirm the order information.

[0023] In the present invention, the user's room demand and expected price are directly obtained through the user terminal, so that the user can actively participate in the room pricing process, which improves the user's bargaining power and satisfaction; the user can more intuitively understand the difference between his expected price and the actual market price, so as to make a more intelligent room booking decision. At the same time, the merchant terminal receives and processes the room demand from the user in real time, so that the merchant can quickly respond to the demand of the room market and improve the utilization rate of the room; the merchant can accept the order or counter-offer according to the user's expected price, and flexibly adjust the room price strategy, so as to realize the bargaining transaction of hotel rooms and improve its own income.

[0024] In the present invention, the hotel matching module accurately matches the guest room information of the merchant and the guest room requirements of the user, ensuring that the user can find a guest room that meets his or her needs. This accurate matching reduces the information asymmetry between the user and the merchant, thereby improving the efficiency and success rate of the hotel bargaining transaction. The bargaining negotiation module allows multiple bargaining between the user and the merchant, promotes the price competition of the guest room, makes the market price more reasonable and transparent, and the user can understand the quotations and counter-offers of different merchants at the same time, and make a more wise choice, thereby improving the success rate of the hotel bargaining transaction and the user experience. The room reservation module automatically completes the room reservation order after the user confirms the order, simplifies the reservation process, and is conducive to improving the user experience. It should be noted that the entire bargaining process in the present invention is non-public, and will not cause the merchant's room preferential price to be made public, thereby improving the privacy of the hotel bargaining transaction and protecting the interests of the merchant.

[0025] In the specific implementation process, for their own interests, users and merchants often do not give the lowest price they can accept in the first negotiation. Therefore, it may take multiple communications to get a price that both users and merchants are satisfied with. However, such repeated communications will seriously reduce the efficiency of hotel bargaining transactions and cause a waste of data resources.

[0026] In view of the above problem, in this embodiment, the bargaining feedback information of the user obtained by the user terminal also includes bargaining request information; The bargaining negotiation module is also used to establish a corresponding bargaining chat room for the corresponding user terminal and the merchant terminal when the bargaining feedback information is bargaining request information, so that the corresponding user terminal and the merchant terminal can communicate about the price in the bargaining chat room; The room reservation module is also used to obtain the bargaining price determined by the corresponding user terminal and the merchant terminal, and then complete the room reservation order for the user based on the information of the target room and the bargaining price.

[0027] The present invention aims at the problem that users and merchants may need to communicate and bargain for many times, and designs a scheme for users and merchants to directly communicate about room prices. When a user sends a bargaining request message, a corresponding bargaining chat room is established for the corresponding user terminal and merchant terminal through a bargaining negotiation module, so that the corresponding user terminal and merchant terminal can communicate about the price in the bargaining chat room, and then obtain the bargaining price determined by the communication between the user terminal and the merchant terminal, and complete the room reservation order for the user based on the information of the target room and the bargaining price. This method of direct communication through the bargaining chat room avoids the problems of low efficiency and waste of resources caused by repeated communication between users and merchants, thereby improving the efficiency of hotel bargaining transactions and reducing data resource waste. At the same time, the method of establishing a bargaining chat room will not cause the preferential prices of merchants to be made public, thereby improving the privacy of hotel bargaining transactions and protecting the interests of merchants.

[0028] In the specific implementation process, when the prices expected by the user and the merchant are inconsistent, the user may refuse to bargain and the merchant may refuse to accept the order. Therefore, this embodiment also includes a booking failure module; The user's bargaining feedback information obtained by the user terminal also includes bargaining rejection information; The bargaining negotiation module is also used to send a bargaining rejection message to the corresponding merchant terminal whose order feedback information is a counter-offer price when the bargaining feedback information is a bargaining rejection message; after the merchant terminal receives the bargaining rejection message, it obtains the merchant's secondary order feedback information; the secondary order feedback information includes confirming the order information or rejecting the order; The room reservation module is also used to complete the room reservation order for the user based on the target room information and the user's expected price when the secondary order feedback information is confirmed order information; The reservation failure module is used to send room reservation failure information to the corresponding user terminal when the secondary order feedback information is rejection of the order.

[0029] The present invention designs a reservation failure module to solve the problem that the user refuses to bargain and the merchant refuses to accept the order when the prices expected by the user and the merchant are inconsistent. When the user refuses to bargain and the merchant refuses to accept the order, a room reservation failure message is sent to the corresponding user terminal to remind the user that the room reservation has failed, thereby improving the efficiency of hotel bargaining transactions and the user's experience.

[0030] In this embodiment, the merchant's secondary order acceptance feedback information obtained by the merchant terminal also includes a secondary counter-offer price; The bargaining and negotiation module is also used to establish a corresponding bargaining chat room for the corresponding user terminal and the merchant terminal when the second order feedback information is a second bargaining price, so that the corresponding user terminal and the merchant terminal can communicate the price in the bargaining chat; The room reservation module is also used to obtain the bargaining price determined by the corresponding user terminal and the merchant terminal, and then complete the room reservation order for the user based on the information of the target room and the bargaining price.

[0031] The present invention aims at the problem that users and merchants may need to communicate and bargain for many times, and designs a scheme for users and merchants to directly communicate about the room price. When the merchant issues a second counter-offer price, a corresponding bargaining chat room is established for the corresponding user terminal and the merchant terminal through the bargaining negotiation module, so that the corresponding user terminal and the merchant terminal can communicate about the price in the bargaining chat room, and then obtain the bargaining price determined by the communication between the user terminal and the merchant terminal, and complete the room reservation order for the user based on the information of the target room and the bargaining price. This method of direct communication through the bargaining chat room avoids the problems of low efficiency and waste of resources caused by repeated communication between users and merchants, thereby improving the efficiency of hotel bargaining transactions and reducing data resource waste. At the same time, the method of establishing a bargaining chat room will not cause the merchant's preferential price to be made public, thereby improving the privacy of hotel bargaining transactions and protecting the interests of merchants.

[0032] In the specific implementation process, when the expected price given by the user is too low, the merchant may not accept the order, that is, the merchant thinks that the user's expected price is too low and there is no need to bargain. Therefore, this embodiment also includes an active price change module; The active price modification module is used to send price modification reminder information to the corresponding user terminal when no order feedback information from any merchant is received within a certain period of time, so as to remind the user to actively modify his room demand and / or expected price.

[0033] If the expected price given by the user is too low, the merchant may not accept the order. When the present invention does not receive any merchant's order feedback information within a certain period of time, it sends price modification reminder information to the corresponding user terminal to remind the user to actively modify his room demand and / or expected price. In this way, by reminding the user to modify the price, it can better assist the user to complete the room reservation, thereby improving the efficiency of hotel bargaining transactions and the user experience.

[0034] In the specific implementation process, when the expected price given by the user is reasonable and the required room resources are sufficient, there may be multiple merchants competing for the order at the same time. At this time, how to assist users in selecting the "best" merchant and room is a technical problem that needs to be solved urgently.

[0035] In view of the above problems, this embodiment also includes a room sorting module; The order sorting module is used to sort and display the target rooms and corresponding bargaining prices of each merchant in order from low to high when order feedback information from multiple merchants is received within a certain period of time and the multiple order feedback information contains multiple different bargaining prices, and send the sorting display results to the corresponding user terminal to guide the user to select the target room of the merchant with a lower bargaining price.

[0036] When the present invention receives order feedback information from multiple merchants within a certain period of time and the multiple order feedback information contains multiple different bargaining prices, the target rooms and corresponding bargaining prices of each merchant are sorted and displayed in order from low to high bargaining prices, so as to guide users to select the target rooms of merchants with lower bargaining prices. In this way, when multiple merchants compete for orders at the same time, the cheapest (best) merchant and room can be recommended to users, thereby improving the success rate of hotel bargaining transactions and the user experience.

[0037] In the specific implementation process, when the expected price given by the user is reasonable and the required room resources are sufficient, there may be multiple merchants competing for the order at the same time. At this time, how to assist users in selecting the "best" merchant and room is a technical problem that needs to be solved urgently.

[0038] In response to the above problems, the order sorting module in this embodiment is also used to further obtain the room score of each merchant when order feedback information from multiple merchants is received within a certain period of time and multiple order feedback information are all confirmed order information or the bargaining price is the same; the target rooms of each merchant are sorted and displayed in order from high to low according to the room score, and the sorting display results are sent to the corresponding user terminal to guide the user to select the target room of the merchant with a higher room score.

[0039] When the present invention receives order feedback information from multiple merchants within a certain period of time and the multiple order feedback information are all confirmed order information or the bargaining price is the same, the guest room score of each merchant is further obtained, and then the target guest rooms of each merchant are sorted and displayed in order from high to low according to the guest room score, so as to guide the user to select the target guest room of the merchant with a higher guest room score. In this way, when multiple merchants compete for orders at the same time, the merchant and guest room with the highest (best) score can be recommended to the user, thereby improving the success rate of hotel bargaining transactions and the user experience.

[0040] In the specific implementation process, when the expected price given by the user is reasonable and the required room resources are sufficient, there may be multiple merchants competing for the order at the same time. At this time, how to assist users in selecting the "best" merchant and room is a technical problem that needs to be solved urgently.

[0041] In response to the above problems, this embodiment also includes a merchant price change module; The merchant price change module is used to send active price change suggestion information to each corresponding merchant terminal when receiving order feedback information from multiple merchants within a certain period of time and multiple order feedback information are all confirmed order information or the same counter-offer price, so as to remind the merchant to give a lower counter-offer price.

[0042] When the present invention receives order feedback information from multiple merchants within a certain period of time and the multiple order feedback information are all confirmed order information or the same counter-offer price, active price change suggestion information is sent to each corresponding merchant terminal to remind the merchant to give a lower counter-offer price. In this way, the merchant can be guided to better complete the bargaining and transaction of hotel rooms by actively modifying the counter-offer price, thereby improving the success rate of hotel bargaining transactions, improving the user experience and the merchant's income.

[0043] Embodiment 2: The hotel bargaining transaction platform for user pricing power in this embodiment also has a price suggestion function.

[0044] In the actual hotel bargaining transaction process, users may not know how to bid. If the price is too low, the merchant cannot accept it. If the price is too high, it will cause losses. In addition, since there is no reference price, users cannot judge whether the merchant's counter-offer is reasonable, and it is not easy to accept the merchant's counter-offer, resulting in poor user satisfaction. At the same time, for merchants, they generally set prices and counter-offers based on the hotel's current vacancy rate (i.e. the proportion of vacant rooms). However, when the user's reservation time is relatively late (such as a time one or two months after the reservation), the merchant cannot estimate the future room demand, i.e. the vacancy rate. At this time, the merchant cannot give accurate pricing and counter-offers, resulting in poor accuracy and efficiency of hotel bargaining transactions.

[0045] In view of the above problems, the hotel bargaining transaction platform for user pricing power in this embodiment also includes a price suggestion module; The price suggestion module is used to obtain the user's room demand and booking time through the user terminal; match the user with a target room that meets his room demand and booking time; obtain the current price of the target room and the remaining room quantity of the target hotel containing the target room; obtain the relevant event big data associated with the user's booking time, and predict the room booking growth rate of the target hotel at the user's booking time based on the relevant event big data; calculate the vacancy rate of the target hotel at the user's booking time based on the current remaining room quantity of the target hotel and the predicted room booking growth rate at the user's booking time; predict the predicted price of the target room at the user's booking time based on the current price of the target room and the vacancy rate of the target hotel at the user's booking time; and send the predicted price of the target room to the corresponding user terminal. At the same time, when the merchant counter-offers, the predicted price of the target room can also be sent to the corresponding merchant terminal.

[0046] In this embodiment, the reservation time can be one day or multiple days.

[0047] The price suggestion module is also used to predict the corresponding target room predicted price for each date when the user's reservation time includes multiple dates; generate the target room predicted price change trend within the user's reservation time based on the target room predicted price for each date; and send the target room predicted price change trend to the corresponding user terminal. At the same time, the target room predicted price change trend can also be sent to the corresponding merchant terminal when the merchant counter-offers.

[0048] In this embodiment, when the user's reservation time includes multiple dates, the reservation time includes the check-in time, the check-out time and the number of days of stay. The predicted price change trend of the target room within the user's reservation time can be displayed by generating a line graph.

[0049] The present invention obtains relevant event big data associated with the user's booking time (such as holidays, tourist peaks, gathering activities, etc.), and then more accurately predicts the hotel's room reservation growth rate at a future time (user booking time) by analyzing the relevant event big data and combining it with historical big data, which is conducive to better calculation of vacancy rate and room price in the subsequent time.

[0050] The present invention, based on the prediction of the room reservation growth rate, further calculates the vacancy rate of the target hotel at the user's reservation time according to the current remaining number of rooms of the target hotel and the room reservation growth rate. By calculating the vacancy rate, the room supply situation in a certain period in the future can be understood, and the vacancy rate is one of the important factors affecting the room price. By calculating the vacancy rate, the present invention can more accurately and flexibly predict the room price to cope with changes in market demand.

[0051] The present invention further predicts the target room predicted price of the user's booking time according to the current price and vacancy rate of the target room on the basis of calculating the vacancy rate. By comprehensively considering the current price and the vacancy rate at the future time (user booking time), a more reasonable future room price can be predicted as a reference price. On the one hand, the user can make a bid based on the reference price (i.e., give an expected price), and can use the reference price as a basis for judging whether the merchant's counter-offer is reasonable, which not only helps to improve the success rate of the hotel room bargaining transaction, but also helps to improve the user's satisfaction, because the user is more likely to accept the price that meets their expectations. On the other hand, the price fully considers the impact of related events (such as holidays, tourist peaks, gathering activities, etc.) at the future time (user booking time) on the room demand, and estimates the future room demand, i.e., the vacancy rate, so that the merchant can give accurate pricing and counter-offer, which helps to assist the merchant and the user in bargaining, thereby improving the accuracy and efficiency of the hotel room bargaining.

[0052] When the user's reservation time includes multiple dates, the present invention calculates the predicted room price for each date respectively, and finally generates the predicted room price change trend within the user's reservation time based on the predicted room price of each date. First, by predicting the predicted room price on a daily basis, the factors that may affect the room price on each day, such as holidays, tourist peaks, gathering activities, etc., can be captured more carefully, so as to more accurately predict the room price on each day. Secondly, the user can see the detailed change trend of the room price within the reservation time span, which helps the user to make a decision, such as the user may choose to book on a day with a lower price, or adjust the reservation time to avoid the high price period; and providing the price change trend can also increase the user's trust in the hotel's price strategy, thereby improving the user's satisfaction. Finally, by predicting the price on a daily basis and generating the change trend, the hotel's merchants can more accurately predict the future room demand situation, so as to better give pricing and counter-offer, which can not only improve the accuracy and efficiency of the hotel room bargaining, but also help the hotel reduce customer loss and revenue loss caused by shortage or surplus of rooms, and improve operational efficiency and service quality.

[0053] In order to better introduce the technical solution of the present invention, this embodiment is described through the following parts.

[0054] 1. Holiday Big Data In actual application scenarios, people will choose to travel or visit relatives and friends during holidays. The demand for hotel rooms in many regions, especially in popular tourist cities, will increase significantly, and the corresponding room prices will also increase. Therefore, this application fully considers the dimension of holiday big data when calculating the room reservation growth rate.

[0055] In this embodiment, when the relevant event big data is holiday big data, the room reservation growth rate is predicted through the following steps: S01: The acquired holiday big data includes holiday types and holiday time periods, as well as historical room reservation big data of all hotels during holidays; In this embodiment, the holiday types include New Year's Day, Qingming Festival, Labor Day, Dragon Boat Festival, Mid-Autumn Festival and National Day. The holiday time period is based on the actual holiday time. The historical room reservation big data here includes hotel name, holiday type, daily room reservation quantity and room vacancy quantity during the holiday time period.

[0056] S02: Determine the overlapping date between the user's reservation time and the holiday time period; In this embodiment, the overlapping date refers to a single date when the user's reservation time is the same as a holiday time period.

[0057] S04: Obtain the historical room reservation big data of other hotels on this type of holiday, and filter out the historical room reservation rates of other hotels on overlapping dates; S04: Obtain the historical room reservation big data of other hotels on this type of holiday, and then filter out the historical room reservation rates of other hotels on overlapping dates; S05: Calculate the room reservation growth rate of the target hotel at the user's booking time based on the historical room reservation rates of the target hotel and other hotels on overlapping dates.

[0058] The present invention predicts the room reservation growth rate of a hotel at a future time (user booking time) based on holiday big data. In actual application scenarios, affected by holiday travel, the demand for hotel rooms in many regions, especially in popular tourist cities, will increase significantly, and the corresponding room prices will also increase. Therefore, the present invention fully considers the hotel's historical room reservation rate during the same period of holidays in previous years to predict the room reservation growth rate at future times, which is conducive to the subsequent more accurate calculation of vacancy rate and room price. At the same time, the present invention also considers the historical room reservation rate of other hotels during the same period of holidays in previous years to assist in predicting the future room reservation growth rate, because the historical room reservation rate of other hotels can also reflect the hotel room reservation trend and demand during holidays, and then can make certain corrections to the room reservation growth rate of the target hotel, thereby improving the accuracy of the room reservation growth rate and the subsequent vacancy rate and room prediction price calculation.

[0059] 2. Gathering Activity Big Data In actual application scenarios, when a gathering event (such as sports games, music festivals, concerts, bonfire parties, etc.) is held in a city, it will have a significant impact on the demand for hotel rooms in the area in the short term. Therefore, this application fully considers the dimension of gathering event big data when calculating the room booking growth rate.

[0060] The applicant found that hotel room bookings during holidays and tourist peaks are cyclical, that is, the hotel room bookings during holidays and tourist peaks are similar every year, so we can calculate the room booking growth rate by screening the historical hotel booking big data of the same period. However, unlike holidays and tourist peaks, gatherings do not have fixed times and are often sudden, and the demand for hotel rooms for gatherings is greatly affected by the location and scale of the gatherings (number of participants). Users tend to book hotel rooms closer to the location of the gatherings, and the more participants there are in the gatherings, the higher the demand for hotel rooms.

[0061] In view of the above problems, when the relevant event big data is aggregated activity big data, the room reservation growth rate is predicted through the following steps: S11: The acquired gathering activity big data includes the gathering activity type, gathering activity location, gathering activity time period and the number of people who have reported for the gathering activity; when the user's booking time belongs to the gathering activity time period, executing subsequent steps; S12: Calculate the predicted number of people in the activity according to the type of gathering activity; S13: Calculate the room demand based on the predicted number of people for the activity; In this embodiment, the room demand is calculated based on the allocation logic of one required room for every two people, that is, the room demand = the predicted number of people for the activity / 2.

[0062] S14: Generate an activity prediction area according to the gathering activity location; when the target hotel is within the activity prediction area, execute the subsequent steps; In this embodiment, a circular activity prediction area is generated with the gathering activity location as the center and a radius of five kilometers.

[0063] S15: Calculate the number of hotels in the activity prediction area; S16: Calculate the average hotel room booking increment based on the room demand and the number of hotels in the activity forecast area; calculate the room booking growth rate of the target hotel at the user booking time through the hotel average room booking increment.

[0064] In this embodiment, the average hotel room booking increment = room demand / number of hotels.

[0065] The present invention predicts the room reservation growth rate of the target hotel at the user's booking time based on the big data of the gathering activities. In the actual application scenario, when a gathering activity is held in a city, it will have a significant impact on the hotel room demand in the city in the short term. Therefore, the present invention takes into account the average hotel reservation increment of the hotel under the gathering activity, and then accurately predicts the room reservation growth rate at future times, which is conducive to the subsequent more accurate calculation of vacancy rate and room price. At the same time, the present invention first generates an activity prediction area according to the gathering activity location, then calculates the predicted number of people in the activity and the room demand, and finally calculates the number of hotels in the activity prediction area and calculates the average hotel reservation increment in combination with the room demand, so that the gathering activity location and the predicted number of people in the activity (number of participants) can be used as the main considerations to calculate the room reservation growth rate, so that the room reservation growth rate considering the big data of the gathering activity can be accurately calculated.

[0066] 1. Consider the attendance rate In actual application scenarios, cluster activities will have a number of people reported for the cluster activities (such as the number of people that a venue for a sports game or concert can accommodate). However, in many cases, cluster activities are not always full. Some cluster activities even have a relatively low attendance rate. In this case, if subsequent calculations are made directly based on the number of people reported for the cluster activities, there will be large errors.

[0067] In view of the above problems, the gathering activity big data obtained in this embodiment also includes the historical activity number big data of the gathering activity; according to the gathering activity type, the historical actual number of participants and the corresponding historical gathering activity reported number of participants are calculated from the historical activity number big data of the gathering activity; the historical attendance rate of the current gathering activity type is calculated according to the historical actual number of participants and the corresponding historical gathering activity reported number of participants; the corresponding activity predicted number of participants is calculated by combining the historical attendance rate of the current gathering activity type with the number of gathering activity reported number of participants; Among them, the predicted number of people for the event = historical attendance rate * number of people who reported for the gathering.

[0068] The present invention can effectively consider the attendance situation of different types of gathering activities, that is, the actual number of participants, so that the subsequent room reservation growth rate can be calculated based on a more accurate predicted number of activities.

[0069] 2. Consider the user continues to play In actual application scenarios, people often do not leave the city immediately after participating in a gathering activity, and a large number of them will continue to play in the city. In other words, when a gathering interaction needs to last for several days, the actual number of people on the second day of the gathering activity may be higher than the predicted number we calculated based on the gathering activity type, because the second day of the gathering activity also includes users who did not leave on the first day, and so on, the third day of the gathering activity will also include users who did not leave on the first and second days. At this time, it is inaccurate to directly use the predicted number of people calculated based on the gathering activity type as the predicted number of people for the activity.

[0070] In view of the above problems, in this embodiment, the predicted number of people for an activity is calculated based on the type of gathering activity and the time period of the gathering activity; Determine which day of the gathering event the user's reservation time is based on the gathering event time period: When the user's booking time is the first day of a gathering activity, the predicted number of people for the event = historical attendance rate * number of people reported for the gathering activity; When the user's reservation time is the second day of the gathering activity, the predicted number of people for the activity = (1+A1) historical attendance rate * number of people reported for the gathering activity; When the user's booking time is the third day of a gathering activity or later, the predicted number of people for the activity = (1 + A2) historical attendance rate * number of people reported for the gathering activity; Among them, A1 and A2 are both constants greater than zero, and A2>A1.

[0071] When calculating the predicted number of people for an activity, the present invention not only takes into account the attendance rate corresponding to the type of gathering activity, but also further takes into account the situation where users do not leave after participating in the gathering activity and continue to play. At this time, the demand for hotel rooms is still very high, and the predicted number of people for the activity can be calculated more accurately, and then the subsequent room reservation growth rate can be calculated based on the more accurate predicted number of people for the activity.

[0072] 3. Consider the weekend In actual application scenarios, the applicant found that when the adjacent dates before and after the gathering activity time period are weekends, some users will come to the city to play in advance or continue to play after the gathering activity ends, that is, spend the weekend in the city. In this case, even if the user's booking time does not belong to the gathering activity time period, as long as it belongs to the weekend before and after the gathering activity time period, it will be affected to a certain extent by the gathering activity.

[0073] Therefore, in this embodiment, it is further determined whether the adjacent dates before and after the gathering activity time period are weekends. When the adjacent dates before and after the gathering activity time period are weekends and the user's reservation time belongs to the adjacent dates before and after the gathering activity time period, step S12 is continued to be executed; at this time, the logic of calculating the predicted number of people for the activity in step S12 is as follows: Predicted number of people at the event = (1-A3) historical attendance rate * number of people reported for the gathering; Wherein, A3 is a constant greater than zero.

[0074] When the adjacent dates before and after the gathering activity time period are weekends and the user's booking time belongs to the adjacent dates before and after the gathering activity time period, the present invention will also perform the calculation of the room reservation growth rate. This is to take into account the situation where users spend weekends in the city due to the gathering activities, so that the impact of the dates before and after the gathering activities on the hotel room prices can be fully considered, so that the subsequent room reservation growth rate can be calculated based on a more accurate predicted number of activities.

[0075] 4. Consider fan support for concerts In actual application scenarios, when some well-known stars (key personnel) hold concerts, the fans of the key personnel will provide fan support. At this time, the number of people participating in the support may even be far greater than the number of people who have reported for the gathering. If subsequent calculations are made directly based on the number of people who have reported for the gathering, there will be large errors.

[0076] To address this issue, in this embodiment, when the gathering activity type is a concert: Determine the main person who organizes the gathering activity; obtain the actual number of participants and the number of people who have been reported for the gathering activities in the past by the main person through the big data of the number of people in the historical activities; calculate the historical growth multiple of the number of the main person through the actual number of participants and the number of people who have been reported for the historical gathering activities; calculate the corresponding predicted number of people for the activity based on the number of people who have been reported for the gathering activities and the historical growth multiple of the number of the main person; Predicted number of participants in an activity = historical number growth multiple * number of participants who have registered for the activity.

[0077] The present invention can effectively take into account the fan support situation of gathering activities such as concerts, so that the subsequent room reservation growth rate can be calculated based on a more accurate prediction of the number of people in the activity.

[0078] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit the technical solution. Those skilled in the art should understand that those modifications or equivalent substitutions of the technical solution of the present invention that do not depart from the purpose and scope of the technical solution should be included in the scope of the claims of the present invention.

Claims

1. A hotel bargaining transaction platform for user pricing power, characterized in that: include: A user terminal is used to obtain the user's room demand and the corresponding expected price; Merchant terminal, used to obtain the merchant's room information; The hotel matching module is used to match the target rooms that meet the user's room needs from the merchant's room information; Send the target room information and the user's expected price to the corresponding merchant terminal; After receiving the target room information and the user's expected price, the merchant terminal obtains the merchant's order feedback information; the order feedback information includes confirmation of the order information or the counter-offer price; The room reservation module is used to complete the room reservation order for the user based on the target room information and the user's expected price when the order feedback information is confirmed order information; The bargaining module is used to send the target room information and the merchant's bargaining price to the corresponding user terminal when the order feedback information is a bargaining price; After receiving the information of the target room and the counter-offer price of the merchant, the user terminal obtains the bargaining feedback information of the user; the bargaining feedback information includes confirming the order; The room reservation module is also used to complete the room reservation order for the user based on the information of the target room and the merchant's counter-offer price when the bargaining feedback information is to confirm the order information.

2. The hotel bargaining transaction platform for user pricing power as claimed in claim 1, characterized in that: The user's bargaining feedback information obtained by the user terminal also includes bargaining request information; The bargaining negotiation module is also used to establish a corresponding bargaining chat room for the corresponding user terminal and the merchant terminal when the bargaining feedback information is bargaining request information, so that the corresponding user terminal and the merchant terminal can communicate about the price in the bargaining chat room; The room reservation module is also used to obtain the bargaining price determined by the corresponding user terminal and the merchant terminal, and then complete the room reservation order for the user based on the information of the target room and the bargaining price.

3. The hotel bargaining transaction platform for user pricing power as claimed in claim 2, characterized in that: Also includes a booking failure module; The user's bargaining feedback information obtained by the user terminal also includes bargaining rejection information; The bargaining negotiation module is also used to send a bargaining rejection message to the corresponding merchant terminal whose order feedback information is a counter-offer price when the bargaining feedback information is a bargaining rejection message; after the merchant terminal receives the bargaining rejection message, it obtains the merchant's secondary order feedback information; the secondary order feedback information includes confirming the order information or rejecting the order; The room reservation module is also used to complete the room reservation order for the user based on the target room information and the user's expected price when the secondary order feedback information is confirmed order information; The reservation failure module is used to send room reservation failure information to the corresponding user terminal when the secondary order feedback information is rejection of the order.

4. The hotel bargaining transaction platform for user pricing power as claimed in claim 3, characterized in that: The merchant's second order feedback information obtained by the merchant terminal also includes a second counter-offer price; The bargaining and negotiation module is also used to establish a corresponding bargaining chat room for the corresponding user terminal and the merchant terminal when the second order feedback information is a second bargaining price, so that the corresponding user terminal and the merchant terminal can communicate the price in the bargaining chat; The room reservation module is also used to obtain the bargaining price determined by the corresponding user terminal and the merchant terminal, and then complete the room reservation order for the user based on the information of the target room and the bargaining price.

5. The hotel bargaining transaction platform for user pricing power as claimed in claim 1, characterized in that: It also includes an active price change module; The active price modification module is used to send price modification reminder information to the corresponding user terminal when no order feedback information from any merchant is received within a certain period of time, so as to remind the user to actively modify his room demand and / or expected price.

6. The hotel price negotiation and transaction platform for user pricing power as claimed in claim 1, characterized in that: Also includes room sorting module; The order sorting module is used to sort and display the target rooms and corresponding bargaining prices of each merchant in order from low to high when order feedback information from multiple merchants is received within a certain period of time and the multiple order feedback information contains multiple different bargaining prices, and send the sorting display results to the corresponding user terminal to guide the user to select the target room of the merchant with a lower bargaining price.

7. The hotel price negotiation and transaction platform for user pricing power as claimed in claim 1, characterized in that: The order sorting module is also used to further obtain the room score of each merchant when order feedback information from multiple merchants is received within a certain period of time and multiple order feedback information are all confirmed order information or the bargaining price is the same; sort and display the target rooms of each merchant in order from high to low according to the room score, and send the sorting display results to the corresponding user terminal to guide the user to select the target room of the merchant with a higher room score.

8. The hotel price negotiation and transaction platform for user pricing power as claimed in claim 1, characterized in that: It also includes a module for merchants to change prices; The merchant price change module is used to send active price change suggestion information to each corresponding merchant terminal when receiving order feedback information from multiple merchants within a certain period of time and multiple order feedback information are all confirmed order information or the same counter-offer price, so as to remind the merchant to give a lower counter-offer price.

9. The hotel price negotiation and transaction platform for user pricing power as claimed in claim 1, characterized in that: Also includes a price suggestion module; The price suggestion module is used to obtain the user's room demand and reservation time through the user terminal; match the user with a target room that meets his room demand and reservation time; obtain the current price of the target room and the remaining number of rooms of the target hotel that includes the target room; obtain relevant event big data associated with the user's reservation time, and predict the room reservation growth rate of the target hotel at the user's reservation time based on the relevant event big data; calculate the vacancy rate of the target hotel at the user's reservation time based on the current remaining number of rooms of the target hotel and the predicted room reservation growth rate at the user's reservation time; predict the predicted price of the target room at the user's reservation time based on the current price of the target room and the vacancy rate of the target hotel at the user's reservation time; and send the predicted price of the target room to the corresponding user terminal.

10. The hotel price negotiation and transaction platform for user pricing power as claimed in claim 9, characterized in that: The price suggestion module is also used to predict the corresponding target room predicted price for each date when the user's reservation time includes multiple dates; based on the target room predicted price for each date, generate the target room predicted price change trend within the user's reservation time; The predicted price change trend of the target guest room is sent to the corresponding user terminal.

Images