High-end hotel president suite online booking method and system based on blind box mechanism

Abstract

This invention relates to the fields of mobile internet, online travel, and hotel booking technology. Specifically, it discloses a method and system for online booking of high-end hotel presidential suites based on a blind box mechanism. This invention generates a list of available blind boxes based on user location, behavior, and preference data, supporting filtering by city, brand, price, and keywords. After the user sets a budget, the system provides a real-time reference success rate to assist decision-making. The user pays a deposit to lock the order, and the system automatically manages the order status and refund logic. Orders are confirmed through automatic or manual matching. After the final payment is completed, an electronic voucher is generated, and the hotel verifies the check-in information, achieving a closed-loop order process. The system supports anomaly handling and risk control to ensure an intelligent, personalized, and secure booking process. The system provides anomaly handling and risk control mechanisms to ensure automated order processes, fund security, and consistent user experience. This invention achieves intelligent, personalized, and closed-loop management of high-end hotel presidential suite bookings.

Description

Technical Field

[0001] This invention relates to the fields of mobile internet, online travel, and hotel booking technology, and specifically to a method and system for online booking of high-end hotel presidential suites based on a blind box mechanism. Background Technology

[0002] Currently, high-net-worth individuals are showing a growing demand for personalized and limited-access presidential suites in top-tier hotels. However, traditional booking channels have the following shortcomings in meeting this demand: Information asymmetry and insufficient display: Major OTA platforms lack centralized operation of presidential suite resources, and the information display is fragmented and scattered, making it difficult for users to obtain complete information such as room type, price, and services.

[0003] The booking process is cumbersome: booking high-end suites usually requires repeated offline or manual communication and negotiation, lacking an online closed loop, resulting in low booking efficiency and a poor user experience.

[0004] Rigid pricing mechanism: Presidential suite prices are inflexible, lacking flexible negotiation methods. High-value resources are underutilized during off-seasons, resulting in inefficient interaction between supply and demand.

[0005] Insufficient user engagement: The existing booking model lacks interactive experiences and innovative features, making it difficult to stimulate high-net-worth users' interest in trying and purchasing luxury products. Summary of the Invention

[0006] To achieve the aforementioned objectives, this invention provides the following technical solution: a method for online booking of high-end hotel presidential suites based on a blind box mechanism, comprising the following steps: Step S1: Based on user location information, historical behavior data, and preference data, the system dynamically generates a list of available presidential suite blind boxes, and supports filtering by city, hotel brand, price range, and keywords. Step S2: The user sets a budget quote on the blind box details page. The system calculates and displays the reference success rate corresponding to the budget based on multi-dimensional factors. Step S3: The user pays a fixed deposit to lock in the order intention. The system automatically generates the order status and executes the status transition and refund logic. Step S4: The intelligent system automatically matches the user's quoted price with the hotel's base price. If necessary, it will push a human customer service representative to intervene and negotiate with the hotel to confirm the order status. After the user pays the balance and completes the order, the system generates an electronic voucher. The hotel front desk verifies the voucher to process the check-in and sends back the order completion status. The system then marks the order as completed.

[0007] Preferably, step S1 further includes: The system analyzes user geolocation and historical behavior data to retrieve a list of available presidential suite blind boxes. The system also provides search functions by city, hotel brand, price range, and keywords, and allows users to swipe and page through the blind box list. Users can click on the blind box card to enter the details page to view the room name, size, bed type, view, additional services, and whether smoking is allowed.

[0008] Preferably, step S2 further includes: (1) Users set their budget quote amount through the input box. ; (2) The system calculates the reference success rate corresponding to the user's budget according to the following formula. : ; in: Provide the user with a budget quote amount; Original price for the presidential suite; As a seasonal factor, , , , The weighting coefficients are configured by fitting historical data. This serves as a holiday identifier, collected via the perpetual calendar API. If it belongs to the holiday list, then =1, otherwise =0, This serves as a marker for peak and off-peak seasons. It equals the average occupancy rate for the current time period divided by the benchmark occupancy rate, where the benchmark occupancy rate is 0.75; The occupancy rate is calculated by dividing the number of booked nights by the total number of nights, and is obtained in real time from the hotel's PMS system interface. The sales factor is equal to the current sales volume of the room type divided by the average sales volume of similar room types. The current sales volume of the room type and the average sales volume of similar room types are generated by statistics from the platform's order database. The user group preference factor is equal to the number of clicks and favorites by the target group divided by the average number of clicks and favorites by the group. The number of clicks and favorites by the target group are generated by user and behavior data analysis. This is an adjustment factor, dynamically configured based on historical matching errors, used to adjust the success rate prediction. (3) The system dynamically acquires data for each factor and updates the reference success rate in real time. It also displays a success rate curve on the user interface to assist users in making budget decisions.

[0009] Preferably, step S3 further includes: (1) Users pay a fixed deposit to lock in their intended order. The system generates an order status, including "Pending confirmation of quote", "Successful match", "Pending final payment", "Completed" and "Booking failed". (2) The system automatically executes the refund logic based on the order status, including refunds for failed matching, refunds for overdue final payments, and refunds for user-initiated cancellations; (3) The system updates the order status and fund flow in real time through background tasks to ensure automated and paperless processing.

[0010] Preferably, step S4 further includes: (1) The system matches the user’s budget with the hotel’s base price and, if necessary, pushes a human customer service representative to intervene and negotiate and confirm the order price; (2) After the user pays the final payment, the system generates an electronic voucher and reminds the user to bring the voucher to check in via application messages and SMS. (3) The hotel front desk verifies the user information through the voucher to complete the check-in registration, and sends back the "check-in completed" status through the back-end interface. The system marks the order as completed. (4) The system provides abnormal handling, including payment failure, network abnormality and human customer service intervention, to ensure order closure and fund security.

[0011] This invention also provides an online booking system for high-end hotel presidential suites based on a blind box mechanism, comprising the following modules: The blind box generation and filtering module is used to obtain users' location information, historical behavior data and preference data, dynamically generate a list of presidential suite blind boxes, and support filtering and searching by city, brand, price and keywords, and provide the function of viewing room details; The budget quote and success rate prediction module is used to receive user budget information, generate a reference success rate based on historical occupancy rates, room type sales and user preferences, and feed the prediction results back to the user in real time to assist in decision-making. The order management and payment closed-loop module is used to generate intended orders and lock deposits, realize order status management, final payment, electronic voucher generation and check-in verification, and handle matching failures, final payment timeouts and user-initiated cancellations to ensure a closed-loop booking process and fund security.

[0012] The blind box generation and screening module includes: The user information collection unit is used to acquire user geographical location, historical behavior data and preference data, providing basic information for the generation of personalized blind boxes; The blind box generation unit is used to dynamically generate a list of available presidential suite blind boxes based on user data, including room type information, hotel brand, price and additional services, and simultaneously the number of available room nights. The filter and search unit provides filtering and search functions by city, hotel brand, price range, and keywords, and allows users to view room details.

[0013] The budget quotation and success rate prediction module includes: The budget input unit is used by users to set the budget amount and perform legality verification; The success rate calculation unit is used to dynamically generate a reference success rate based on multidimensional factors and update the prediction results in real time. The data acquisition and analysis unit is used to acquire relevant information from the hotel PMS system, platform database and user behavior data to support success rate calculation; The interface display unit is used to show the success rate and related information to users in real time, assisting them in making budget decisions.

[0014] The order management and payment closed-loop module includes: The order status management unit is used to generate intended orders, lock deposits, execute order status transitions and refund processing, ensuring the automation of the order process; The payment and risk control unit is used to connect to payment channels to complete deposit and final payment, and to monitor abnormal behavior to trigger processing mechanisms. The check-in verification and exception handling unit is used to generate electronic vouchers, verify user check-in information, and handle matching failures, final payment timeouts, and user-initiated cancellations, ensuring fund security and user experience.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention provides a method and system for online booking of high-end hotel presidential suites based on a blind box mechanism. Through a mechanism of "budget pricing + success rate prediction + deposit locking + dynamic matching," it achieves the following effects: Optimize resource allocation: revitalize idle high-end rooms during the off-season and increase hotel revenue through flexible pricing.

[0016] Streamline user processes: Budgeting, quoting, matching, and payment are all done online, improving decision-making efficiency.

[0017] Improve matching efficiency: Supports both automatic system matching and manual matching to increase the success rate of matching.

[0018] Enhance user engagement: Improve the novelty and fun of the experience by using blind box-style gameplay and visualizing success rate curves.

[0019] Supports refined hotel management: dynamically adjusts pricing and inventory strategies based on historical occupancy rates, holiday factors, and user behavior data. Attached Figure Description

[0020] Figure 1 A flowchart illustrating the method steps provided in this application; Figure 2 The system flowchart provided for this application. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0022] refer to Figure 1 This invention provides a method for online booking of high-end hotel presidential suites based on a blind box mechanism, including the following steps: Step S1: Based on user location information, historical behavior data, and preference data, the system dynamically generates a list of available presidential suite blind boxes, and supports filtering by city, hotel brand, price range, and keywords. Step S2: The user sets a budget quote on the blind box details page. The system calculates and displays the reference success rate corresponding to the budget based on multi-dimensional factors. Step S3: The user pays a fixed deposit to lock in the order intention. The system automatically generates the order status and executes the status transition and refund logic. Step S4: The intelligent system automatically matches the user's quoted price with the hotel's base price. If necessary, it will push a human customer service representative to intervene and negotiate with the hotel to confirm the order status. After the user pays the balance and completes the order, the system generates an electronic voucher. The hotel front desk verifies the voucher to process the check-in and sends back the order completion status. The system then marks the order as completed.

[0023] In step S1, when a user enters the presidential suite blind box reservation page of a high-end hotel, the system first performs a preliminary analysis of the presidential suite blind box resources that the user may be interested in, based on the geographical location information authorized by the user and the historical browsing behavior data stored on the platform. The system then retrieves a list of blind boxes that are available for sale from the presidential suite blind box resource pool, taking into account the user's city or neighboring cities. Based on the user's past click frequency, browsing time, and collection behavior, the system performs an initial sorting of the blind box resources, thereby generating a list of available presidential suite blind boxes that closely matches the user's preferences.

[0024] Meanwhile, the system provides multi-dimensional filtering and search entry points such as city, hotel brand, price range, and keywords on the blind box list page. Users can browse the blind box list by swiping, pagination, etc. When a user clicks on any blind box card, the system jumps to the corresponding blind box details page and displays key information such as the room name, building area, bed configuration, view type, additional services, and whether smoking is allowed for the presidential suite, so that users can form reasonable expectations about the basic conditions of the room while maintaining the uncertainty of the blind box.

[0025] In step S2, on the details page of the presidential suite blind box, the user sets their budget quote amount through the budget quote input box or slider component provided by the system. The budget quotation amount Located between the system's minimum acceptable price and the original listing price of the presidential suite. In between, after the user completes the budget input, the system triggers the success rate prediction module, which obtains seasonal factors, occupancy rate, sales data and user group preference data in real time from the hotel property management system (PMS), platform order database, user behavior analysis module and third-party calendar service interface, and performs verification and normalization on each data to form a set of parameters for success rate prediction.

[0026] Based on the parameter set, the system calculates the reference success rate corresponding to the user's budget according to the following formula. : ; in: Provide the user with a budget quote amount; Original price for the presidential suite; As a seasonal factor, , , , The weighting coefficients are configured by fitting historical data. This serves as a holiday identifier, collected via the perpetual calendar API. If it belongs to the holiday list, then =1, otherwise =0, This serves as a marker for peak and off-peak seasons. It equals the average occupancy rate for the current time period divided by the benchmark occupancy rate, where the benchmark occupancy rate is 0.75; The occupancy rate is calculated by dividing the number of booked nights by the total number of nights, and is obtained in real time from the hotel's PMS system interface. The sales factor is equal to the current sales volume of the room type divided by the average sales volume of similar room types. The current sales volume of the room type and the average sales volume of similar room types are generated by statistics from the platform's order database. The user group preference factor is equal to the number of clicks and favorites by the target group divided by the average number of clicks and favorites by the group. The number of clicks and favorites by the target group are generated by user and behavior data analysis. This is an adjustment factor, dynamically configured based on historical matching errors, used to adjust the success rate prediction. The system will use the reference success rate Displayed in real-time on the user interface as curves or numerical values ​​to assist users in making budget decisions.

[0027] In step S3, after the user confirms the budget quote and the reference success rate, the system guides the user to pay a deposit of a preset amount to lock in the order intention. The deposit amount is a fixed value uniformly configured by the system. After the deposit payment is successful, the system generates the corresponding intention order and marks the initial status of the order as "quote pending confirmation". At the same time, the order information, budget quote and check-in date selected by the user are pushed to the background matching module for subsequent matching processing.

[0028] Based on order status management rules, the system automates the flow control of order status. When a match is successful, the order status is updated to "Pending final payment". When the hotel rejects the quote or the confirmation deadline is exceeded, the order status is updated to "Booking failed" and the deposit is refunded to the original payment method. When the user fails to complete the final payment within the specified time limit, the system automatically cancels the order and executes a deposit refund. When the user actively cancels the order, the system executes the corresponding refund policy according to the order status. The above order status updates, fund processing and refund operations are all completed automatically through background tasks, avoiding manual intervention and improving processing efficiency and fund security.

[0029] In step S4, after receiving an intended order in the "Pending Confirmation of Quote" status, the system first automatically matches the user's budget quote with the hotel's base price. If the automatic matching result meets the preset transaction conditions, the system directly sends a confirmation request to the hotel. If the automatic matching fails, the system pushes the order to the human customer service module, where back-end staff negotiate the price with the hotel and record the negotiation results in the system. If the hotel confirms acceptance of the user's quote, the system updates the order status to "Pending Final Payment" and sends the user a final payment notification and payment deadline information.

[0030] After the user completes the final payment, the system generates a corresponding electronic check-in voucher and sends it to the user's device via in-app message or SMS. Upon arrival, the hotel front desk scans the electronic voucher or verifies the order number and guest information to complete check-in registration, and then sends the check-in completion status back to the platform system via the hotel's backend interface. Upon receiving the check-in completion feedback, the system updates the order status to "Completed," forming a complete booking and fulfillment loop. Simultaneously, the system provides an exception handling and human customer service intervention mechanism for situations such as payment anomalies, network errors, or check-in disputes to ensure the stability of the transaction process and the consistency of the user experience.

[0031] refer to Figure 2 This invention provides an online booking system for high-end hotel presidential suites based on a blind box mechanism, comprising the following modules: The blind box generation and filtering module is used to obtain users' location information, historical behavior data and preference data, dynamically generate a list of presidential suite blind boxes, and support filtering and searching by city, brand, price and keywords, and provide the function of viewing room details; The budget quote and success rate prediction module is used to receive user budget information, generate a reference success rate based on historical occupancy rates, room type sales and user preferences, and feed the prediction results back to the user in real time to assist in decision-making. The order management and payment closed-loop module is used to generate intended orders and lock deposits, realize order status management, final payment, electronic voucher generation and check-in verification, and handle matching failures, final payment timeouts and user-initiated cancellations to ensure a closed-loop booking process and fund security.

[0032] The blind box generation and screening module includes: The user information collection unit is used to acquire user geographical location, historical behavior data and preference data, providing basic information for the generation of personalized blind boxes; The blind box generation unit is used to dynamically generate a list of available presidential suite blind boxes based on user data, including room type information, hotel brand, price and additional services, and simultaneously the number of available room nights. The filter and search unit provides filtering and search functions by city, hotel brand, price range, and keywords, and allows users to view room details.

[0033] The budget quotation and success rate prediction module includes: The budget input unit is used by users to set the budget amount and perform legality verification; The success rate calculation unit is used to dynamically generate a reference success rate based on multidimensional factors and update the prediction results in real time. The data acquisition and analysis unit is used to acquire relevant information from the hotel PMS system, platform database and user behavior data to support success rate calculation; The interface display unit is used to show the success rate and related information to users in real time, assisting them in making budget decisions.

[0034] The order management and payment closed-loop module includes: The order status management unit is used to generate intended orders, lock deposits, execute order status transitions and refund processing, ensuring the automation of the order process; The payment and risk control unit is used to connect to payment channels to complete deposit and final payment, and to monitor abnormal behavior to trigger processing mechanisms. The check-in verification and exception handling unit is used to generate electronic vouchers, verify user check-in information, and handle matching failures, final payment timeouts, and user-initiated cancellations, ensuring fund security and user experience.

[0035] It should be noted that, unless otherwise specified, the embodiments and features and technical solutions in the embodiments of the present invention can be combined with each other.

[0036] Obviously, the embodiments described above are merely some embodiments of the present invention, not all embodiments. The accompanying drawings show preferred embodiments of the present invention, but do not limit the patent scope of the present invention. The present invention can be implemented in many different forms; rather, these embodiments are provided to provide a more thorough and complete understanding of the disclosure of the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or make equivalent substitutions for some of the technical features. Any equivalent structures made using the content of this specification and drawings, directly or indirectly applied to other related technical fields, are similarly within the patent protection scope of this invention.

Claims

1. A method for online booking of high-end hotel presidential suites based on a blind box mechanism, characterized in that, Includes the following steps: Step S1: Based on user location information, historical behavior data, and preference data, the system dynamically generates a list of available presidential suite blind boxes, and supports filtering by city, hotel brand, price range, and keywords. Step S2: The user sets a budget quote on the blind box details page. The system calculates and displays the reference success rate corresponding to the budget based on multi-dimensional factors. Step S3: The user pays a fixed deposit to lock in the order intention. The system automatically generates the order status and executes the status transition and refund logic. Step S4: The intelligent system automatically matches the user's quoted price with the hotel's base price. If necessary, it will push a human customer service representative to intervene and negotiate with the hotel to confirm the order status. After the user pays the balance and completes the order, the system generates an electronic voucher. The hotel front desk verifies the voucher to process the check-in and sends back the order completion status. The system then marks the order as completed.

2. The online booking method for high-end hotel presidential suites based on a blind box mechanism according to claim 1, characterized in that, Step S1 further includes: The system analyzes user geolocation and historical behavior data to retrieve a list of available presidential suite blind boxes. The system also provides search functions by city, hotel brand, price range, and keywords, and allows users to swipe and page through the blind box list. Users can click on the blind box card to enter the details page to view the room name, size, bed type, view, additional services, and whether smoking is allowed.

3. The online booking method for high-end hotel presidential suites based on a blind box mechanism according to claim 1, characterized in that, Step S2 further includes: S2(1) The user sets the user's budget quote amount through the input box. ; S2(2), The system calculates the reference success rate corresponding to the user's budget according to the following formula. : ； in: Provide the user with a budget quote amount; Original price for the presidential suite; As a seasonal factor, , , , The weighting coefficients are configured by fitting historical data. This serves as a holiday identifier, collected via the perpetual calendar API. If it belongs to the holiday list, then =1, otherwise =0, This serves as a marker for peak and off-peak seasons. It equals the average occupancy rate for the current time period divided by the benchmark occupancy rate, where the benchmark occupancy rate is 0.75; The occupancy rate is calculated by dividing the number of booked nights by the total number of nights, and is obtained in real time from the hotel's PMS system interface. The sales factor is equal to the current sales volume of the room type divided by the average sales volume of similar room types. The current sales volume of the room type and the average sales volume of similar room types are generated by statistics from the platform's order database. The user group preference factor is equal to the number of clicks and favorites by the target group divided by the average number of clicks and favorites by the group. The number of clicks and favorites by the target group are generated by user and behavior data analysis. This is an adjustment factor, dynamically configured based on historical matching errors, used to adjust the success rate prediction. S2(3) The system dynamically acquires data for each factor and updates the reference success rate in real time. It also displays a success rate curve on the user interface to assist users in making budget decisions.

4. The online booking method for high-end hotel presidential suites based on a blind box mechanism according to claim 1, characterized in that, Step S3 further includes: S3(1) The user pays a fixed deposit to lock in the intended order. The system generates the order status, including "Pending confirmation of quote", "Successful match", "Pending final payment", "Completed" and "Booking failed". S3(2) The system automatically executes the refund logic according to the order status, including refunds for failed matching, refunds for overdue final payments, and refunds for user-initiated cancellations; S3(3) The system updates the order status and fund flow in real time through background tasks to ensure automated and paperless processing.

5. The online booking method for high-end hotel presidential suites based on a blind box mechanism according to claim 1, characterized in that, Step S4 further includes: S4(1) The system matches the user's budget with the hotel's base price and, if necessary, pushes in human customer service to negotiate and confirm the order quote; S4(2) After the user pays the final payment, the system generates an electronic voucher and reminds the user to bring the voucher to check in via application messages and SMS. S4(3) The hotel front desk verifies the user information through the voucher to complete the check-in registration, and sends back the "check-in completed" status through the back-end interface. The system marks the order as completed. S4(4) The system provides abnormal handling, including payment failure, network abnormality and human customer service intervention, to ensure order closure and fund security.

6. A high-end hotel presidential suite online booking system based on a blind box mechanism, characterized in that, Includes the following modules: The blind box generation and filtering module is used to obtain users' location information, historical behavior data and preference data, dynamically generate a list of presidential suite blind boxes, and support filtering and searching by city, brand, price and keywords, and provide the function of viewing room details; The budget quote and success rate prediction module is used to receive user budget information, generate a reference success rate based on historical occupancy rates, room type sales and user preferences, and feed the prediction results back to the user in real time to assist in decision-making. The order management and payment closed-loop module is used to generate intended orders and lock deposits, realize order status management, final payment, electronic voucher generation and check-in verification, and handle matching failures, final payment timeouts and user-initiated cancellations to ensure a closed-loop booking process and fund security.

7. The online booking system for high-end hotel presidential suites based on a blind box mechanism according to claim 6, characterized in that, The blind box generation and screening module includes: The user information collection unit is used to acquire user geographical location, historical behavior data and preference data, providing basic information for the generation of personalized blind boxes; The blind box generation unit is used to dynamically generate a list of available presidential suite blind boxes based on user data, including room type information, hotel brand, price and additional services, and simultaneously the number of available room nights. The filter and search unit provides filtering and search functions by city, hotel brand, price range, and keywords, and allows users to view room details.

8. The online booking system for high-end hotel presidential suites based on a blind box mechanism according to claim 6, characterized in that, The budget quotation and success rate prediction module includes: The budget input unit is used by users to set the budget amount and perform legality verification; The success rate calculation unit is used to dynamically generate a reference success rate based on multidimensional factors and update the prediction results in real time. The data acquisition and analysis unit is used to acquire relevant information from the hotel PMS system, platform database and user behavior data to support success rate calculation; The interface display unit is used to show the success rate and related information to users in real time, assisting them in making budget decisions.

9. The online booking system for high-end hotel presidential suites based on a blind box mechanism according to claim 6, characterized in that, The order management and payment closed-loop module includes: The order status management unit is used to generate intended orders, lock deposits, execute order status transitions and refund processing, ensuring the automation of the order process; The payment and risk control unit is used to connect to payment channels to complete deposit and final payment, and to monitor abnormal behavior to trigger processing mechanisms. The check-in verification and exception handling unit is used to generate electronic vouchers, verify user check-in information, and handle matching failures, final payment timeouts, and user-initiated cancellations, ensuring fund security and user experience.

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