Intelligent management and control method and system for step threshold value of travel air ticket and program product

Abstract

The invention provides a travel air ticket step threshold intelligent control method and system and a program product, which are applied to an online travel reservation platform and comprise the following steps: receiving a reservation request containing travel information; determining reference flight information and a reference price based on the travel information and a preset price comparison rule; at least two step thresholds are determined according to travel standards associated with the user identity information, and each threshold corresponds to at least one preset management and control mode; if the selected flight price is higher than the reference price, calculating a difference value, and executing corresponding control according to a threshold range to which the difference value belongs; otherwise, direct reservation is allowed. According to the invention, differentiated management and control according to the standard exceeding degree are realized, the flexibility and fineness of management and control are improved, while the travel cost is effectively controlled, the reasonable travel demand of the user is considered, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of computer information processing, and particularly to an intelligent control method, system and program product for stepped thresholds of business travel tickets. Background Art

[0002] With the development of economic globalization and the increasing frequency of business activities, the business travel expenses of enterprises or institutions have also increased accordingly. How to effectively control business travel costs and improve business travel management efficiency has become an important issue faced by enterprises or institutions. Among them, as an important part of business travel expenses, the control method of ticket reservation directly affects the control effect of business travel costs.

[0003] In the prior art, the control methods for ticket reservation mainly include unified price limit, price limit divided by rank, and over-standard approval, etc. The unified price limit is simple but lacks flexibility and cannot take into account factors such as different ranks, travel destinations and times; although the price limit divided by rank has been improved, it is still based on fixed prices and is difficult to adapt to market fluctuations and special situations; the over-standard approval has a cumbersome process, low efficiency, and is easily affected by human factors. In addition, although existing online business travel reservation platforms provide basic functions and simple business travel standard settings and over-standard warnings, most of them adopt a single threshold or simple control, lacking a flexible mechanism for dynamic adjustment according to factors such as market fluctuations and travel situations, and unable to adopt differential control strategies according to the degree of over-standard, resulting in either too strict or too loose control intensity, ultimately affecting user experience and work efficiency, and it is difficult to meet the increasing refined business travel management needs of enterprises.

[0004] Therefore, the prior art is difficult to effectively solve the problems of cost control and efficiency improvement faced by enterprises or institutions in ticket reservation management.

[0005] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present invention, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] Aiming at the problems in the prior art, the purpose of the present invention is to provide an intelligent control method, system and program product for stepped thresholds of business travel tickets, so as to overcome the deficiencies in flexibility and single control intensity existing in the ticket reservation control methods in the prior art, aiming to achieve more flexible, refined and intelligent ticket reservation control, thereby more effectively balancing business travel cost control and user experience.

[0007] An embodiment of the present invention provides an intelligent control method for stepped thresholds of business travel tickets, which is applied to an online business travel reservation platform and includes the following steps:

[0008] Receive the flight reservation request submitted by the user through the online travel reservation platform, where the flight reservation request includes travel information;

[0009] Based on the travel information, obtain multiple optional flight information through the online travel reservation platform, and according to the preset price comparison rules, determine at least one benchmark flight information, and extract the lowest price in the benchmark flight information as the benchmark price;

[0010] According to the travel standards associated with the user identity information preset, determine at least two ladder thresholds corresponding to the user, and each ladder threshold corresponds to at least one preset control method;

[0011] If the ticket price of the selected flight in the flight reservation request is higher than the benchmark price, calculate the difference between the ticket price of the selected flight and the benchmark price, and execute the corresponding control method on the online travel reservation platform according to the threshold range to which the difference belongs; otherwise, allow the user to directly book on the online travel reservation platform.

[0012] In some alternative embodiments, the control methods include:

[0013] When the difference is less than the first threshold, prompt the user to select the reason for exceeding the standard;

[0014] When the difference is greater than or equal to the first threshold and less than the second threshold, allow the user to make a reservation, but the part exceeding the first threshold shall be borne by the user personally;

[0015] When the difference is greater than or equal to the second threshold, restrict the user from making a reservation.

[0016] In some alternative embodiments, the price comparison rules include price comparison based on flight attribute information and / or price information, and the flight attribute information includes departure place, destination, departure time, cabin class, airline company, and flight type.

[0017] In some alternative embodiments, the ladder threshold is determined based on at least one of the following methods:

[0018] Fixed amount increase based on the benchmark price;

[0019] Percentage increase based on the benchmark price;

[0020] Dynamic adjustment based on at least one of historical reservation data and market price fluctuations;

[0021] Personalized threshold setting combined with the user's historical travel data or preferences.

[0022] In some alternative embodiments, the control methods further include at least one of the following:

[0023] When the difference is greater than or equal to the third threshold, prompt the user to submit a superior approval on the online business travel reservation platform, and decide whether to allow the reservation according to the approval result;

[0024] When the difference is greater than or equal to the fourth threshold, automatically recommend other flights or travel plans that meet the travel standards on the online business travel reservation platform;

[0025] Flexibly allocate the proportion paid by the enterprise and the individual according to the degree of exceeding the threshold.

[0026] In some alternative embodiments, the following steps are further included:

[0027] Record the user's reservation information on the online business travel reservation platform, where the reservation information includes user identity information, reserved air ticket price, benchmark price, amount exceeding the standard, and implemented control methods;

[0028] Based on the historical reservation information recorded on the online business travel reservation platform, dynamically adjust the ladder threshold or control method in the business travel standard through machine learning algorithms.

[0029] In some alternative embodiments, the dynamic adjustment includes the following steps:

[0030] Analyze the over-standard frequency, over-standard amount, travel time, and travel destination of each user group in the historical reservation information recorded on the online business travel reservation platform;

[0031] According to the analysis results, based on the preset optimization objectives, adjust the ladder threshold and / or control method for the corresponding user group.

[0032] In some alternative embodiments, the following steps are further included:

[0033] Give priority to recommending flights that meet the user's preferences on the online business travel reservation platform according to the user's historical travel preferences, where the historical travel preferences include preferred airlines, flight times, and seat types.

[0034] In some alternative embodiments, the business travel standard includes a differential standard amount adjustment coefficient for different travel destinations, and the differential standard amount adjustment coefficient adjusts the ladder threshold according to the consumption level of the travel destination.

[0035] In some alternative embodiments, the following steps are further included:

[0036] Set up an over-standard fund pool for the department or enterprise, and the over-standard fund pool is used to record and limit the cumulative over-standard amount of the department or enterprise;

[0037] When the price of the flight selected by the user is higher than the benchmark price, record the over-standard amount for this time and deduct the corresponding amount from the over-standard fund pool;

[0038] When the balance of the over-standard fund pool is lower than the threshold of the over-standard fund pool, a warning message is issued or the subsequent control method is adjusted.

[0039] An embodiment of the present invention further provides a smart control system for the stepped threshold of business travel air tickets, which is applied to an online business travel reservation platform and is used to implement the above-mentioned smart control method for the stepped threshold of business travel air tickets. The system includes:

[0040] A request receiving module, configured to receive a ticket reservation request submitted by a user;

[0041] A price comparison module, configured to obtain multiple optional flight information based on travel information and determine the benchmark flight information and benchmark price according to a preset price comparison rule;

[0042] A travel standard matching module, configured to match the corresponding business travel standard and stepped threshold according to the user identity information;

[0043] A difference calculation module, configured to calculate the difference between the ticket price and the benchmark price;

[0044] A control execution module, configured to execute the corresponding control method according to the threshold range to which the difference belongs;

[0045] A data recording module, configured to record the reservation information of the user;

[0046] A threshold adjustment module, configured to dynamically adjust the stepped threshold based on historical reservation information;

[0047] A user interface module, configured to provide a user interaction interface to display flight information, control prompts, and execute control operations.

[0048] An embodiment of the present invention further provides a smart control program product for the stepped threshold of business travel air tickets. The program product includes computer instructions, and when the computer instructions are executed by a processor, the steps of the above method are implemented.

[0049] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure.

[0050] The intelligent control method, system and program product for the stepped threshold of business travel air tickets of the present invention have the following beneficial effects: First, it improves the flexibility and precision of business travel control. By presetting at least two stepped thresholds associated with user identity information and executing corresponding control methods according to the threshold range to which the difference between the selected flight price and the benchmark price belongs, differential management of different over-standard degrees is realized, effectively avoiding the drawback of "one-size-fits-all" in traditional control methods. Compared with the control method with a single threshold, the present invention can adopt different control strategies according to the actual situation, thus better balancing cost control and user experience. Second, it enhances the user experience of the online business travel reservation platform. The present invention combines the stepped threshold control mechanism with the online reservation process. Users can complete air ticket reservations on the familiar online reservation platform without additional approvals or offline operations, simplifying the reservation process, improving the reservation efficiency, and thus enhancing the user experience. At the same time, through the differential control method, the restriction on the reasonable travel needs of users can be minimized, avoiding user dissatisfaction caused by overly strict control. Finally, it helps enterprises or institutions to more effectively control business travel costs. Through the setting of stepped thresholds and the flexible selection of control methods, over-standard reservation behaviors can be effectively controlled, avoiding unnecessary business travel expenses, and thus helping enterprises or institutions to more effectively control business travel costs. Compared with the control methods of complete liberalization or complete prohibition, the present invention can better achieve the cost control goal on the premise of ensuring the reasonable travel needs of users. It should be noted that the present invention is not intended to completely eliminate over-standard reservation behaviors, but to provide a more flexible, refined and intelligent control mechanism, with the expectation of effectively controlling business travel costs while maximizing the consideration of the reasonable travel needs of users, enhancing the user experience, and ultimately helping enterprises or institutions to improve the efficiency and intelligent level of business travel management. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Other features, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments with reference to the following drawings.

[0052] Figure 1 is a flowchart of the intelligent control method for the stepped threshold of business travel air tickets according to an embodiment of the present invention;

[0053] Figure 2 is a schematic structural diagram of the intelligent control system for the stepped threshold of business travel air tickets according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0054] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0055] The flowcharts shown in the accompanying drawings are merely illustrative and not necessarily include all steps. For example, some steps can be further decomposed, while some steps can be combined or partially combined. Therefore, the actual execution order may change according to the actual situation. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0056] In the field of computer information processing, for the management and control of complex objects, a hierarchical control strategy based on thresholds is often adopted. This strategy divides the attributes or states of an object into different intervals by presetting one or more numerical boundaries, i.e., thresholds, and formulates corresponding processing rules or control measures for each interval. The core of this method is to classify and grade the object through the setting of thresholds, and then perform differentiated operations according to different levels or categories. For example, in the field of network security, intrusion detection systems often use thresholds to determine whether network traffic is abnormal. The system monitors various indicators of network traffic, such as the number of connections, packet size, etc., and presets corresponding thresholds. When a certain indicator exceeds the preset threshold, the system considers that there may be an intrusion behavior and triggers corresponding alarms or defense mechanisms. This threshold-based intrusion detection method can effectively identify and respond to various network attacks and ensure network security. Another example is that in a database system, in order to improve query efficiency, thresholds can be set according to the size of the data volume. When the data volume exceeds a certain threshold, the system will automatically adopt a more efficient query algorithm or indexing strategy to reduce the query time. This threshold-based optimization strategy can effectively improve the performance and throughput of the database. Applying it to the ticket control of an online travel reservation platform, by setting at least two ladder thresholds associated with user identity information and executing corresponding control methods according to the threshold range to which the difference between the selected flight price and the benchmark price belongs, it is possible to achieve differentiated management of different over-standard degrees, thereby effectively controlling travel costs while maximizing the consideration of users' reasonable travel needs, enhancing the user experience, and ultimately helping enterprises or institutions improve the efficiency and intelligence level of travel management.

[0057] As Figure 1As shown in the figure, an embodiment of the present invention provides an intelligent control method for the stepped threshold of business travel air tickets, which is applied to an online business travel reservation platform, aiming to solve the technical problems such as insufficient flexibility and single control intensity existing in the existing air ticket reservation control methods. By setting at least two stepped thresholds and executing corresponding control methods according to the threshold range to which the difference between the selected flight price and the benchmark price belongs, the intelligent control of air ticket reservation is realized. The method includes the following steps:

[0058] S100. Receive the air ticket reservation request submitted by the user through the online business travel reservation platform, and the air ticket reservation request includes travel information. In this step, the online business travel reservation platform refers to a platform that provides air ticket reservation services through networks such as the Internet or mobile Internet. The air ticket reservation request submitted by the user through the online business travel reservation platform includes travel information, which at least includes necessary information such as the departure place, destination, and travel date, and may also include optional information such as the number of travelers, class of service, and preferred airline. The purpose of this step is to obtain the user's air ticket reservation intention and their basic travel information, providing basic data for subsequent price comparison and control.

[0059] S200. Based on the travel information, obtain multiple optional flight information through the online business travel reservation platform, and determine at least one benchmark flight information according to the preset price comparison rule, and extract the lowest price in the benchmark flight information as the benchmark price. In this step, obtaining multiple optional flight information through the online business travel reservation platform based on the travel information means obtaining multiple optional flight information that meets the travel information according to the travel information provided by the user, such as the departure place, destination, and travel date, through the data interface of the online business travel reservation platform or other means. The optional flight information may include information such as flight number, departure time, arrival time, class of service, and ticket price. The preset price comparison rule refers to a rule preset for comparing different flight information, and this rule may include comparisons based on factors such as price, departure time, number of transfers, and airline. According to the price comparison rule, determine at least one benchmark flight information from the obtained multiple optional flight information, and this benchmark flight information is the benchmark for subsequent price comparison. Usually, the price comparison rule tends to select a flight with a relatively low price as the benchmark flight information, but it does not exclude the case of selecting other flights as the benchmark flight information according to other factors such as non-stop flight and short transfer time. Extracting the lowest price in the benchmark flight information as the benchmark price means extracting the lowest ticket price from the determined benchmark flight information as the benchmark for subsequent over-limit judgment. The determination of the benchmark price lays the foundation for the subsequent application of the stepped threshold and the selection of the control method.

[0060] S300. Determine at least two stepped thresholds corresponding to the user according to the preset business travel standard associated with the user identity information, and each stepped threshold corresponds to at least one preset control method;

[0061] If the ticket price of the selected flight in the ticket reservation request is higher than the benchmark price, calculate the difference between the ticket price of the selected flight and the benchmark price, and execute the corresponding control method on the online travel reservation platform according to the threshold range to which the difference belongs; otherwise, allow the user to directly make a reservation on the online travel reservation platform.

[0062] The travel standard associated with the user identity information preset in this step refers to the travel reimbursement standards pre-established by enterprises or institutions for different user identities such as job ranks, departments, etc. This standard can include reimbursement regulations for air tickets, accommodation, catering, etc. User identity information refers to the information used to identify the user's identity, such as employee ID number, job rank, department, etc. The stepped threshold refers to at least two different price thresholds preset according to the travel standard, and these thresholds form a stepped price range. Each stepped threshold corresponding to at least one preset control method means that different control measures are preset for different threshold ranges, such as over-standard reminder, partial self-payment, reservation prohibition, etc. By associating the travel standard with the user identity information, and setting the stepped threshold and the corresponding control method, differential control for different users is achieved, improving the flexibility and precision of control. For example, different thresholds and control methods can be set for ordinary employees and senior executives to meet the travel needs of different job ranks. If the ticket price of the selected flight in the ticket reservation request is higher than the benchmark price, it means first judging whether the price of the flight finally selected by the user exceeds the benchmark price, and only in the case of exceeding the standard will subsequent control operations be carried out, otherwise the user is allowed to directly make a reservation, avoiding unnecessary interference with reservations that do not exceed the standard. Calculating the difference between the ticket price of the selected flight and the benchmark price means calculating the difference between the price of the flight selected by the user and the benchmark price, and this difference is the basis for subsequent judgment of the degree of exceeding the standard. Executing the corresponding control method on the online travel reservation platform according to the threshold range to which the difference belongs means judging which threshold interval the calculated difference belongs to and executing the preset control method corresponding to this interval. For example, if the difference is less than the first threshold, an over-standard reminder is executed; if the difference is greater than or equal to the first threshold and less than the second threshold, partial self-payment is executed; if the difference is greater than or equal to the second threshold, reservation restriction is executed. In this way, differential control according to the degree of exceeding the standard is achieved, improving the flexibility and precision of control, and effectively solving the problem of single control intensity in the prior art.

[0063] Through the above steps, the present invention realizes executing the corresponding control method according to the threshold range to which the difference between the price of the selected flight and the benchmark price belongs, thereby realizing intelligent control of ticket reservation. While effectively controlling travel costs, it maximally takes into account the reasonable travel needs of users and improves the user experience.

[0064] In some embodiments, the control methods include:

[0065] S311. When the difference is less than the first threshold, the user is prompted to select the reason for the excess. In an embodiment of the present invention, the first threshold refers to a preset lower threshold. When the difference between the selected flight price and the benchmark price is less than the threshold, it means that the excess is within an acceptable range. At this time, the user's booking behavior will not be directly restricted, but a prompt will be issued to the user on the online travel booking platform to inform the user that the price of the booked flight has exceeded the travel standard, and the user is required to select the reason for the excess. The reasons for the excess may include: no suitable flights with lower prices, urgent travel time, and the need to select a specific airline. The prompt and reason selection function is intended to remind users to pay attention to travel costs, and provide enterprises or institutions with statistical and analytical data on excess situations, so as to optimize and adjust travel policies in the future. This control method is relatively loose. While reminding users to pay attention to costs, it also fully respects the user's right to choose independently.

[0066] S312, when the difference is greater than or equal to the first threshold and less than the second threshold, the user is allowed to make a reservation, but the part exceeding the first threshold is borne by the user personally. In the embodiment of the present invention, the second threshold refers to a preset higher threshold, and the first threshold is less than the second threshold. When the difference between the selected flight price and the base price is greater than or equal to the first threshold and less than the second threshold, the system determines that it is a moderate degree of excess. At this time, the user is still allowed to make a reservation, but the part exceeding the first threshold needs to be borne by the user personally. For example, assuming that the base price is 1,000 yuan, the first threshold is 10%, and the second threshold is 20%. If the flight price selected by the user is 1,150 yuan, the part exceeding the first threshold (1,000 yuan * 10% = 100 yuan) is 50 yuan, and this 50 yuan needs to be borne by the user personally. This control method limits the behavior of exceeding the standard to a certain extent, and plays a good role in cost control, while also taking into account the travel needs of users, allowing users to make flexible choices within a certain range.

[0067] S313. When the difference is greater than or equal to the second threshold, restrict the user's booking. In the embodiment of the present invention, when the difference between the selected flight price and the benchmark price is greater than or equal to the second threshold, the system determines that it is seriously exceeding the standard. At this time, the user's booking behavior will be directly restricted on the online travel booking platform to prevent the user from completing the booking. This control method is the most stringent and aims to resolutely eliminate serious exceeding behavior and control travel costs to the maximum extent.

[0068] Through the combined application of the above three control methods, the embodiment of the present invention can adopt different control strategies according to the degree of exceeding the standard, realize refined travel management and control, effectively solve the problem of single control strength in the prior art, and can effectively control travel costs while maximizing the consideration of users' reasonable travel needs and improving user experience.

[0069] As can be seen from the above embodiments, in the embodiments of the present invention, by setting step thresholds and executing corresponding control methods according to the threshold ranges to which the differences belong, different control strategies can be adopted for different degrees of over-standard, avoiding the one-size-fits-all approach of traditional control methods, improving the flexibility and precision of control, effectively controlling business travel costs while maximizing the consideration of users' reasonable travel needs and enhancing the user experience. It should be noted that the above control methods are only examples and not limitations on the present invention. In other embodiments, more thresholds and corresponding control methods can be set according to actual needs. For example, control methods such as requiring approval from department leaders or higher-level leaders can be added, or different thresholds and control methods can be set according to different travel types such as urgent business trips and long-term business trips. The specific content of the control methods and the setting of the thresholds can be flexibly adjusted according to the actual situation of the enterprise or institution, and the present invention does not limit this.

[0070] In some embodiments, the price comparison rules include price comparison based on flight attribute information and / or price information. The flight attribute information includes the departure location, destination, departure time, cabin class, airline, and flight type. In the embodiments of the present invention, according to the preset price comparison rules, the price comparison rules for determining at least one benchmark flight information comprehensively consider the flight attribute information and / or price information, thus selecting the benchmark flight more comprehensively and objectively.

[0071] The price comparison based on flight attribute information, where the flight attribute information refers to the information describing the basic characteristics of the flight, and its specific content may include:

[0072] Departure location and destination: Refer to the departure airport and arrival airport of the flight. These are the basic elements of price comparison, and only flights with the same departure location and destination are comparable.

[0073] Departure time: Refers to the estimated departure time of the flight. Users usually have certain requirements for travel time, so flights with similar departure times are more comparable. For example, if a user hopes to travel in the morning, flights departing in the morning are preferentially compared.

[0074] Cabin class: Refers to the seat class of the flight, such as first class, business class, economy class, etc. The ticket prices and services of different cabin classes vary greatly, so comparisons should be made within the same cabin class.

[0075] Airline: Refers to the airline operating the flight. There are differences in services, aircraft types, frequent flyer programs, etc. among different airlines, and some users may have preferences for specific airlines.

[0076] Flight type: Refers to the type of flight, such as direct flight, connecting flight, etc. Direct flights are usually faster and more convenient than connecting flights, but the prices may also be higher.

[0077] When comparing prices based on flight attribute information, different weights or priorities can be set according to the travel needs and preferences of users. For example, if a user is not sensitive to price but has high requirements for travel time, the weight of the departure time can be increased; if a user has a preference for an airline, the weight of that airline can be increased.

[0078] For price comparison based on price information, the price information refers to the ticket price of the flight, including:

[0079] Base fare: refers to the ticket price that does not include any taxes and surcharges.

[0080] Tax-inclusive price: refers to the ticket price that includes taxes such as airport construction fees and fuel surcharges.

[0081] Total price: refers to the final payment price that includes all taxes, surcharges, and possible other fees such as insurance fees and seat selection fees.

[0082] Price comparison based on price information is the most direct way of price comparison, and usually the flight with the lowest price is selected as the benchmark flight.

[0083] Comprehensive price comparison of flight attribute information and / or price information. In practical applications, flight attribute information and price information are usually comprehensively considered for price comparison to select the most suitable benchmark flight. For example, flights that meet the conditions can be screened first according to the departure place, destination, and departure time, and then the prices are compared among these flights, and the flight with the lowest price is selected as the benchmark flight. Or, according to the user's preferences, different weights can be assigned to different attribute information, and then the comprehensive score is calculated, and the flight with the highest score is selected as the benchmark flight.

[0084] By adopting price comparison rules that comprehensively consider flight attribute information and / or price information, the benchmark flight can be selected more comprehensively and objectively, providing a more reasonable benchmark for subsequent step threshold control, thereby improving the effectiveness of control and user satisfaction. It should be noted that the above flight attribute information and price information are only examples and are not limitations to the present invention. In other embodiments, price comparison factors can be increased or decreased according to actual needs. For example, factors such as flight punctuality rate, aircraft age, and in-flight facilities can be considered. The specific method of price comparison can also be adjusted according to actual situations, such as adopting different weighted algorithms or sorting algorithms. The present invention does not limit the specific content and method of the price comparison rules.

[0085] In some embodiments, there are multiple options for determining the step threshold, which can be flexibly configured according to the actual needs of an enterprise or institution. The step threshold is determined based on at least one of the following methods:

[0086] Fixed-amount increase based on the benchmark price. In the embodiments of the present invention, the ladder thresholds are determined by adding a fixed amount to the benchmark price. For example, the first threshold can be set as the benchmark price plus 100 yuan, and the second threshold can be set as the benchmark price plus 300 yuan. This method is simple and easy to understand and operate, and is applicable to market environments with relatively small price fluctuations. Its calculation formula can be expressed as:

[0087] The first threshold = benchmark price + fixed amount 1

[0088] The second threshold = benchmark price + fixed amount 2

[0089] Wherein, fixed amount 1 and fixed amount 2 are preset constants, and fixed amount 1 is less than fixed amount 2.

[0090] Percentage increase based on the benchmark price. In the embodiments of the present invention, the ladder thresholds are determined by multiplying a percentage coefficient to the benchmark price. For example, the first threshold can be set as 110% of the benchmark price, and the second threshold can be set as 120% of the benchmark price. This method can better adapt to market environments with large price fluctuations because the thresholds will change correspondingly with the change of the benchmark price. Its calculation formula can be expressed as:

[0091] The first threshold = benchmark price * (1 + percentage coefficient 1)

[0092] The second threshold = benchmark price * (1 + percentage coefficient 2)

[0093] Wherein, percentage coefficient 1 and percentage coefficient 2 are preset constants, and percentage coefficient 1 is less than percentage coefficient 2.

[0094] Dynamic adjustment based on at least one of historical booking data and market price fluctuations. In the embodiments of the present invention, the ladder thresholds can be dynamically adjusted according to historical booking data and / or market price fluctuations.

[0095] Based on historical booking data, information such as the over-standard frequency and over-standard amount of employees in the historical booking data can be analyzed, and the ladder thresholds can be adjusted according to the analysis results. For example, if it is found that employees in a certain department often exceed the standard, the threshold of that department can be appropriately lowered to strengthen control; conversely, if it is found that employees in a certain department rarely exceed the standard, the threshold of that department can be appropriately raised to improve flexibility.

[0096] Based on market price fluctuations, the price fluctuations of the ticket market can be monitored, and the ladder thresholds can be adjusted according to the rising or falling trend of the market price. For example, if it is found that the ticket prices of a certain route generally increase, the threshold of that route can be appropriately raised to avoid the occurrence of a large number of over-standard situations and inability to book due to market price fluctuations.

[0097] Combined with the personalized threshold setting based on the user's historical travel data or preferences, in the embodiments of the present invention, personalized stepped thresholds can be set for the user according to the user's historical travel data and / or preference information. For example, if a certain user often selects a higher-class cabin, the threshold can be appropriately increased; if a certain user is very sensitive to price, the threshold can be appropriately decreased. User preferences may include preferred airlines, flight times, seat types, etc.

[0098] By adopting the above-mentioned multiple stepped threshold determination methods, the thresholds can be flexibly set according to different situations, so as to better adapt to market changes, user needs, and the business travel policies of enterprises or institutions, and improve the flexibility and effectiveness of business travel control. In particular, dynamic adjustment and personalized threshold setting can make the control more intelligent and user-friendly, while effectively controlling business travel costs, taking into account the reasonable travel needs of users to the greatest extent. It should be noted that the above-mentioned stepped threshold determination methods are only examples and are not limitations to the present invention. In other embodiments, other methods can be adopted to determine the stepped thresholds according to actual needs, such as comprehensive calculation by combining multiple factors, or using more complex algorithm models. The number of stepped thresholds can also be adjusted according to actual needs, such as setting three or more thresholds. The present invention does not limit the specific determination methods and the number of stepped thresholds.

[0099] In some alternative embodiments, on the basis of basic control methods such as over-limit reason prompt, partial self-payment, and restricted booking, other optional control measures are also supported to further improve the flexibility and fineness of control. The control methods also include at least one of the following:

[0100] S321. When the difference is greater than or equal to the third threshold, prompt the user to submit a superior approval on the online business travel booking platform, and decide whether to allow the booking according to the approval result. In the embodiments of the present invention, the third threshold refers to a preset relatively high threshold, which is usually higher than the first threshold and may be equal to the second threshold. When the difference between the selected flight price and the benchmark price is greater than or equal to the third threshold, it is determined as seriously exceeding the standard, but the booking is not directly prohibited. Instead, an approval process is initiated. At this time, the user will be prompted to submit a superior approval on the online business travel booking platform, and the booking request will be automatically sent to the corresponding approver. The approver can decide whether to approve the booking according to the actual situation, such as the urgency and necessity of the business trip. If the approval is passed, the user can complete the booking; if the approval is not passed, the user needs to re-select a flight or cancel the booking. This control method not only strictly controls over-limit behaviors but also retains a certain degree of flexibility, allowing over-limit bookings in special circumstances.

[0101] S322. When the difference is greater than or equal to the fourth threshold, other flights or travel plans that meet the travel standards are automatically recommended on the online business travel booking platform. In the embodiments of the present invention, the fourth threshold refers to a preset threshold. Without conflicting with the processing logics of other thresholds, the value range of the fourth threshold is not specifically limited. When the difference between the selected flight price and the benchmark price is greater than or equal to the fourth threshold, the system determines that it exceeds the standard, and then recommends a better travel plan. At this time, other flights or travel plans that meet the business travel standards will be automatically recommended on the online business travel booking platform, such as flights with lower prices, connecting flights, and other transportation methods such as high-speed rails. This control method aims to guide users to choose more economical and reasonable travel plans, thereby effectively controlling business travel costs.

[0102] S323. According to the degree of exceeding the threshold, the payment ratio borne by the enterprise and the individual is flexibly allocated. The embodiments of the present invention provide a more flexible partial self-payment method. Different from the situation in the foregoing embodiments where the part exceeding the first threshold is entirely borne by the individual, in this embodiment, the payment ratio can be flexibly allocated between the enterprise and the individual according to the degree of exceeding the threshold. For example, a segmented ratio can be set: for the part exceeding the first threshold, the enterprise bears 80% and the individual bears 20%; for the part exceeding the second threshold, the enterprise bears 50% and the individual bears 50%; for the part exceeding the third threshold, the enterprise bears 20% and the individual bears 80%. This method can more precisely control the sharing of the cost of exceeding the standard and make flexible adjustments according to the actual situation. For example, different segmented ratios can be set according to factors such as the employee's rank, department, and type of business trip.

[0103] Through the above-expanded control method, the embodiments of the present invention can provide a more comprehensive, flexible, and precise business travel control solution, and better balance the relationship between cost control and user experience. The introduction of the approval process can control serious over-standard behaviors while retaining a certain degree of flexibility; recommending alternative plans can guide users to choose more economical and reasonable travel methods; flexibly allocating the payment ratio between the enterprise and the individual can more precisely control the sharing of the cost of exceeding the standard. The combined effect of these measures helps enterprises or institutions more effectively control business travel costs and improve the efficiency and intelligent level of business travel management. It should be noted that the above-expanded control method is only an example and is not a limitation of the present invention. In other embodiments, the control method can be added or adjusted according to actual needs. For example, control methods such as sending over-standard warning messages to relevant management personnel and automatically canceling over-standard bookings can be added. The specific values of the thresholds and the specific content of the control method can be flexibly adjusted according to the actual situation of the enterprise or institution, and the present invention does not make any limitations in this regard. In addition, the specific implementation method of the approval process can also be combined with the internal approval process of the enterprise or institution by means of docking interfaces, such as email approval, OA system approval, mobile APP approval, etc.

[0104] In some embodiments, the following steps are further included:

[0105] S400. Record the user's reservation information on the online business travel reservation platform. The reservation information includes user identity information, the price of the reserved air ticket, the benchmark price, the over-limit amount, and the implemented control method. In the embodiments of the present invention, the purpose of this step is to collect data for subsequent dynamic adjustment. Specifically, after the user completes the air ticket reservation, the system will record the relevant reservation information in the database of the online business travel reservation platform or other storage media. The reservation information at least includes the following:

[0106] User identity information: Information used to identify the user's identity, such as employee number, job level, department, etc.

[0107] The price of the reserved air ticket: The price of the air ticket finally reserved by the user.

[0108] Benchmark price: The lowest price of the benchmark flight determined by the price comparison rule.

[0109] Over-limit amount: The difference between the price of the reserved air ticket and the benchmark price.

[0110] Implemented control method: The specific control measures implemented by the system for this reservation, such as over-limit prompt, partial self-payment, prohibited reservation, approval required, etc.

[0111] By recording the above information, a historical reservation data set containing rich data can be constructed, providing samples for training and learning for subsequent machine learning algorithms.

[0112] S500. Based on the historical reservation information recorded on the online business travel reservation platform, dynamically adjust the ladder threshold or control method in the business travel standard through machine learning algorithms. In the embodiments of the present invention, this step will regularly or irregularly use the historical reservation information to adjust the ladder threshold or control method in the business travel standard through machine learning algorithms.

[0113] Specifically, multiple machine learning algorithms can be used, such as linear regression, logistic regression, decision tree, support vector machine, neural network, etc. The choice of algorithm depends on the characteristics of the data and the specific adjustment objectives. The content that can be dynamically adjusted includes:

[0114] The value of the ladder threshold. For example, adjust the specific values of the first threshold, the second threshold, etc. according to historical data.

[0115] The percentage of the ladder threshold. For example, adjust the first threshold from 10% of the benchmark price to 12%.

[0116] The specific content of the control method. For example, adjust the proportion of partial self-payment, the approval process, etc.

[0117] The corresponding relationship between the control method and the threshold. For example, adjust the control method corresponding to a certain threshold, such as changing the control method corresponding to a certain threshold from partial self-payment to requiring approval.

[0118] By performing dynamic adjustment through machine learning algorithms, the business travel standard can be made more in line with the actual situation, better adapting to market changes, user needs, and the business travel policies of enterprises or institutions, thereby improving the effectiveness and intelligence level of business travel control.

[0119] By recording the booking information of users and dynamically adjusting the ladder thresholds or control methods in the business travel standard based on historical data using machine learning algorithms, the present invention can achieve the intelligence and automation of business travel control, making the business travel standard more in line with the actual situation, better adapting to market changes, user needs, and the business travel policies of enterprises or institutions, thereby further improving the effectiveness and efficiency of business travel control and reducing the cost of manual intervention. It should be noted that the specific content of the above-mentioned booking information and the selection of machine learning algorithms are only examples and not limitations of the present invention. In other embodiments, the recorded content of the booking information can be increased or adjusted according to actual needs, such as adding information such as travel date and travel destination. The machine learning algorithm can also be selected and adjusted according to the actual situation, such as using more complex algorithms such as ensemble learning and deep learning. The frequency and trigger conditions of dynamic adjustment can also be set according to actual needs. For example, it can be adjusted regularly, such as monthly or quarterly, or triggered when specific conditions are met, such as when the over-standard rate exceeds a certain threshold. The present invention does not limit the specific content of the booking information, the selection of the machine learning algorithm, and the strategy of dynamic adjustment.

[0120] In some embodiments, the dynamic adjustment includes the following steps:

[0121] S510. Analyze the over-standard frequency, over-standard amount, travel time, and travel destination of each user group in the historical booking information recorded on the online business travel booking platform. This step is the data analysis stage for dynamic adjustment. The historical booking information will be analyzed to identify the business travel behavior characteristics of different user groups, such as different job ranks and different departments. The content of the analysis includes:

[0122] Over-standard frequency: It refers to the number or proportion of over-standard bookings of a certain user group within a certain period of time. For example, the average number of over-standard bookings per month of the employees in a certain department can be counted.

[0123] Over-standard amount: It refers to the average over-standard amount or total over-standard amount of each over-standard booking of a certain user group. For example, the average amount of each over-standard booking of the employees at a certain job rank can be calculated.

[0124] Travel time: Refers to the specific time of a user's travel, such as month, quarter, holiday, etc. Analyzing the travel time can reveal whether there are seasonal or periodic over-standard patterns. For example, air ticket prices are usually higher during holidays, which may lead to an increase in the over-standard frequency.

[0125] Travel destination: Refers to the destination of a user's travel. Analyzing the travel destination can reveal the differences in air ticket prices for different destinations and whether there are certain specific destinations that are prone to over-standard situations. For example, air ticket prices to first-tier cities are usually higher, which may lead to an increase in the over-standard frequency.

[0126] By analyzing the above information, it is possible to comprehensively understand the business travel behavior characteristics and over-standard patterns of different user groups, providing a data basis for subsequent adjustments to thresholds and control methods.

[0127] S520. According to the analysis results, based on preset optimization goals such as reducing the over-standard rate and controlling the average business travel cost, adjust the tiered thresholds and / or control methods for the corresponding user groups. This step is the decision-making and execution stage of dynamic adjustment. It will adjust the tiered thresholds and / or control methods for the corresponding user groups according to the analysis results of the previous step and in combination with the preset optimization goals. The preset optimization goals refer to the business travel management goals preset by an enterprise or institution, such as reducing the over-standard rate, controlling the average business travel cost, improving employee satisfaction, etc. Different adjustment strategies can be adopted according to different optimization goals. For example:

[0128] With the goal of reducing the over-standard rate: If the analysis finds that the over-standard frequency of a certain department is relatively high, then the tiered threshold of this department can be appropriately reduced, or the control intensity of this department can be increased, such as increasing the approval process or reducing the proportion of some out-of-pocket expenses, to reduce the occurrence of over-standard bookings.

[0129] With the goal of controlling the average business travel cost: If the analysis finds that the average over-standard amount of a certain user group is relatively high, then the tiered threshold of this user group can be appropriately adjusted, or the proportion of the over-standard amount borne by the enterprise and the individual in the control method can be adjusted to reduce the average business travel cost.

[0130] Combining travel time and destination: If the analysis finds that a certain user group is prone to over-standard during holidays or when traveling to specific destinations, then the threshold or control method can be adjusted separately for these specific situations. For example, appropriately increase the threshold during holidays to adapt to market price fluctuations; for trips to high-consumption destinations, appropriately increase the threshold or strengthen the approval process.

[0131] Through the above dynamic adjustment, the business travel standards can be made more flexible and intelligent, better adapted to the actual situation, and the preset optimization goals can be achieved.

[0132] By analyzing historical booking information and dynamically adjusting the ladder thresholds and / or control methods based on preset optimization objectives, the present invention can achieve continuous optimization and improvement of business travel control, making the business travel standards more in line with the actual situation, better adapting to market changes, user needs, and the business travel policies of enterprises or institutions, thereby continuously improving the effectiveness and efficiency of business travel control and reducing the cost of manual intervention. It should be noted that the above analysis content, optimization objectives, and adjustment strategies are only examples and not limitations on the present invention. In other embodiments, the analysis content can be increased or adjusted according to actual needs, such as adding information on the number of days of advance booking, flight cancellation and change situations, etc. The optimization objectives can also be set according to the actual needs of enterprises or institutions, such as improving employee satisfaction, reducing management costs, etc. The specific adjustment methods can also be adjusted according to the actual situation, such as using different machine learning algorithms, statistical methods, or manual intervention, etc. The present invention does not limit the specific analysis content, optimization objectives, and adjustment strategies.

[0133] In some embodiments, the following steps are further included:

[0134] S600. According to the user's historical travel preferences, preferentially recommend flights that meet the user's preferences on the online business travel booking platform. The historical travel preferences include preferred airlines, flight times, and seat types. This step aims to mine the user's travel preferences based on the user's historical travel data and, when the user searches for flights, preferentially recommend flights that meet their preferences. Historical travel preferences refer to the preference characteristics shown by the user during past trips, such as preferred airlines, flight times, seat types, etc. These preferences can be obtained by analyzing the user's historical booking records, travel evaluations, personal settings, and other information. Preferential recommendation means that in the flight search result list, flights that meet the user's preferences are ranked higher or displayed in a more prominent way, so as to guide the user to preferentially select these flights. Preferred airlines refer to airlines that the user often chooses or has a high evaluation of. For example, the user may prefer a certain airline because of its good service, frequent flyer program discounts, etc. Flight time refers to the preferred departure and arrival time periods of the user. For example, the user may prefer flights that depart in the morning or arrive in the evening. Seat type refers to the seat type preferred by the user, such as window seats, aisle seats, front row seats, etc. The user's preferences can be determined by analyzing the user's historical booking records and counting the frequencies of the user's selection of flights of different airlines, different time periods, and different seat types. For example, if the user has selected Airline A for 80% of the flights in the past year, it can be considered that the user prefers Airline A.

[0135] In the specific implementation process, the user's historical travel preferences can be stored in the user profile database, and when the user conducts a flight search, the flight search results can be sorted or filtered according to their preference information. For example, if the user prefers airline A, then in the search result list, the flights of airline A will be ranked higher; if the user prefers flights departing in the morning, then the flights in the afternoon and evening will be filtered out.

[0136] By preferentially recommending flights that meet the user's preferences on the online travel booking platform according to the user's historical travel preferences, the present invention can better meet the personalized needs of users, improve the satisfaction and efficiency of users during the booking process, and thus further enhance the user experience. At the same time, by guiding users to select flights that meet their preferences, it also helps to improve the travel comfort and satisfaction of users. It should be noted that the specific content of the above historical travel preferences is only an example and is not a limitation of the present invention. In other embodiments, the preference content can be increased or adjusted according to actual needs. For example, information such as the preferred transit airport, aircraft type, and meal type can be added. The acquisition method of preference information can also be adjusted according to the actual situation. For example, it can be obtained through the user's active setting, questionnaire survey, etc. The specific implementation method of preferential recommendation can also be adjusted according to the actual situation. For example, different sorting algorithms, recommendation algorithms, or display methods can be adopted. The present invention does not limit the specific content, acquisition method, and recommendation method of preference information.

[0137] In some embodiments, the business travel standard includes a differential standard amount adjustment coefficient for different travel destinations, and the differential standard amount adjustment coefficient adjusts the ladder threshold according to the consumption level of the travel destination. In the embodiments of the present invention, a differential standard amount adjustment coefficient for different travel destinations is introduced into the business travel standard, so as to adjust the ladder threshold according to the consumption level of the travel destination, making the business travel control more reasonable and adaptable. In the embodiments of the present invention, the business travel standard refers to a normative document pre-established by an enterprise or institution for the business travel behavior of employees, and its content can include reimbursement standards and management regulations for air tickets, accommodation, catering, transportation, etc. The differential standard amount adjustment coefficient for different travel destinations refers to setting different adjustment coefficients in the business travel standard for different travel destinations, which are used to adjust the ladder threshold. For example, the travel destinations can be divided into different levels according to the consumption level of the city, such as first-tier cities, second-tier cities, third-tier cities, etc., and corresponding adjustment coefficients are set for each level. Specifically, the following method can be adopted for adjustment:

[0138] Multiplication adjustment: Multiply the original ladder threshold by the corresponding adjustment coefficient to obtain the adjusted ladder threshold. For example, assume that the adjustment coefficient of a certain city is 1.2, and the original first threshold is 1000 yuan, then the adjusted first threshold is 1000 yuan * 1.2 = 1200 yuan.

[0139] Additive adjustment: Add an amount calculated based on the adjustment coefficient to the original step threshold. For example, assume the adjustment coefficient for a certain city is 200 yuan and the original first threshold is 1000 yuan. Then the adjusted first threshold is 1000 yuan + 200 yuan = 1200 yuan.

[0140] Segmented adjustment: Adopt different adjustment coefficients according to different threshold ranges. For example, for a smaller difference range, adopt a smaller adjustment coefficient; for a larger difference range, adopt a larger adjustment coefficient.

[0141] By using the differential standard amount adjustment coefficient, the step threshold can better adapt to the consumption level differences of different travel destinations, avoiding the situation that employees frequently exceed the standard due to too high consumption levels at the destination, or the waste of business travel funds due to too low consumption levels at the destination.

[0142] Specifically, assume that a company sets the adjustment coefficient for Beijing as 1.3, for Shanghai as 1.2, for Guangzhou as 1.1, and for other cities as 1. If an employee departs from Beijing with a benchmark price of 1000 yuan and the original first threshold is 1100 yuan (110% of the benchmark price), then the adjusted first threshold is 1100 yuan * 1.3 = 1430 yuan. If the employee departs from Shanghai, then the adjusted first threshold is 1100 yuan * 1.2 = 1320 yuan. If the employee departs from Guangzhou, then the adjusted first threshold is 1100 yuan * 1.1 = 1210 yuan. If the employee departs from other cities, then the first threshold remains unchanged at 1100 yuan.

[0143] By introducing the differential standard amount adjustment coefficient for different travel destinations in the business travel standard and adjusting the step threshold according to the consumption level of the travel destination, the present invention can make business travel control more reasonable and flexible, better adapt to the consumption level differences in different regions, thereby effectively controlling business travel costs and improving the efficiency and fairness of business travel management. It should be noted that the above setting method, adjustment method and specific values of the adjustment coefficient are only examples and not limitations to the present invention. In other embodiments, the adjustment coefficient can be set in other ways according to actual needs, such as comprehensively determining the adjustment coefficient according to factors such as the economic development level, price index, hotel price of different cities. The specific adjustment method can also be adjusted according to the actual situation, such as adopting a more complex calculation formula or model. The division standard of the adjustment coefficient can also be adjusted according to actual needs, such as dividing according to different countries or regions. The present invention does not limit the specific content, setting method and adjustment method of the adjustment coefficient.

[0144] In some embodiments, the following steps are further included:

[0145] S710. Set up an over-limit fund pool for departments or enterprises. The over-limit fund pool is used to record and limit the cumulative over-limit amount of departments or enterprises. The over-limit fund pool refers to a certain amount of funds pre-allocated for each department or enterprise, which is specifically used to bear the over-limit travel expenses of employees due to reasonable reasons. The over-limit fund pool can be set up and updated annually, quarterly or monthly. The amount of the fund pool can be set according to factors such as the budget of the department or enterprise, historical travel data, number of employees, etc. For example, the amount of the fund pool can be set according to a certain percentage of the historical average travel expenses of the department. The setting of the over-limit fund pool aims to allow employees to make over-limit bookings within a reasonable range, such as over-limit caused by urgent business trips, lack of suitable flights at lower prices, etc., so as to avoid affecting the normal work of employees due to overly strict control. At the same time, by restricting the total over-limit amount, the overall travel cost can be effectively controlled and the unlimited growth of the over-limit amount can be avoided.

[0146] S720. When the flight price selected by the user is higher than the benchmark price, record the over-limit amount of this time and deduct the corresponding amount from the over-limit fund pool. When the flight price selected by the user is higher than the benchmark price, the system will record the over-limit amount of this time and deduct the corresponding amount from the over-limit fund pool of the department or enterprise to which the user belongs. The calculation method of the over-limit amount is the same as that in the foregoing embodiments, that is, the difference between the selected flight price and the benchmark price. For example, assume that the amount of the over-limit fund pool of a certain department is 100,000 yuan. An employee of this department selects a flight ticket that exceeds the benchmark price by 500 yuan and selects the reason for the over-limit. The system records the over-limit amount of 500 yuan this time and updates the balance of the department's fund pool to 99,500 yuan.

[0147] S730. When the balance of the over-limit fund pool is lower than the threshold of the over-limit fund pool, send a warning message or adjust the subsequent control method. The threshold of the over-limit fund pool refers to a pre-set warning line for the balance of funds. When the balance of the fund pool is lower than this threshold, a warning message will be sent to remind relevant managers to pay attention to controlling over-limit expenditures. The warning message can be sent in various ways, such as email, text message, system message, etc. In addition to sending a warning message, the subsequent control method can also be adjusted according to the preset rules to further control over-limit expenditures. For example:

[0148] Increase the approval level: When the balance of the fund pool is lower than the threshold, the approval level of over-limit bookings can be increased, for example, adjusted from the approval of the department manager to the approval of a higher-level leader.

[0149] Restrict over-limit bookings: When the balance of the fund pool is close to exhaustion or has been exhausted, all over-limit bookings of this department or enterprise can be suspended, or only over-limit bookings for urgent business trips are allowed.

[0150] Adjust the tier threshold: The tier threshold can be dynamically adjusted according to the remaining amount in the fund pool. For example, the first threshold and the second threshold can be lowered, thereby reducing the allowable over-limit range.

[0151] By introducing the over-limit fund pool mechanism, the present invention can effectively control the overall business travel cost while allowing a certain degree of over-limit. This mechanism can not only meet the needs of employees to make over-limit bookings within a reasonable range but also prevent the over-limit amount from growing without limit, thus better balancing the relationship between cost control and user experience. At the same time, through the adjustment of warning and control methods, the over-limit risk can be detected and controlled in a timely manner, improving the refinement and intelligence level of business travel management. It should be noted that the above settings, amount settings, deduction methods, warning thresholds, and control method adjustment strategies of the over-limit fund pool are only examples and not limitations to the present invention. In other embodiments, adjustments can be made according to actual needs. For example, different fund pool amounts and warning thresholds can be set according to different departments or enterprises; different methods can be used to calculate the deduction ratio of the over-limit amount; different control method adjustment strategies can be adopted according to different situations. The present invention does not limit the specific settings and operation methods of the over-limit fund pool.

[0152] As Figure 2 shown, an embodiment of the present invention further provides a smart control system for the tier threshold of business travel tickets, which is applied to an online business travel reservation platform and is used to implement the above smart control method for the tier threshold of business travel tickets. Through modular design, the smart control of the tier threshold of business travel tickets is realized. The system includes:

[0153] M100, Request Receiving Module: This module is configured to receive the ticket reservation request submitted by the user through the online business travel reservation platform. The request includes travel information, such as the departure place, destination, travel date, etc. The Request Receiving Module is responsible for receiving the user's request and passing it to the subsequent modules for processing. This module can be a Web server, an API interface, or other network communication modules.

[0154] M200, Price Comparison Module: This module is configured to obtain multiple optional flight information based on the travel information and determine the benchmark flight information and the benchmark price according to the preset price comparison rules. The Price Comparison Module interacts with the data interface of the online business travel reservation platform or other data sources to obtain multiple optional flight information that meets the travel information. Then, according to the preset price comparison rules, such as based on factors such as price, departure time, number of transfers, etc., a comparison is made, and at least one benchmark flight information is determined from the obtained multiple optional flight information, and the lowest price in the benchmark flight information is extracted as the benchmark price. This module realizes the automated price comparison function and provides a benchmark for subsequent over-limit judgment.

[0155] M300, Differential Standard Matching Module: This module is configured to match corresponding travel standards and ladder thresholds based on user identity information. This module maintains a travel standard database that stores travel standards and ladder thresholds corresponding to different user identities such as job levels and departments. According to the user's identity information, the differential standard matching module retrieves the corresponding travel standards and ladder thresholds from the database and passes them to subsequent modules for processing. This module realizes differential control for different users.

[0156] M400, Difference Calculation Module: This module is configured to calculate the difference between the ticket price and the benchmark price. This module receives the flight price selected by the user and the benchmark price determined by the price comparison module, calculates the difference between the two, and passes the calculation result to the control execution module.

[0157] M500, Control Execution Module: This module is configured to execute corresponding control methods according to the threshold range to which the difference belongs, for realizing intelligent control. This module receives the difference calculated by the difference calculation module and judges the threshold range to which the difference belongs according to the ladder threshold provided by the differential standard matching module. Then, according to the preset control rules, it executes corresponding control methods, such as over-limit prompt, partial self-payment, prohibited booking, approval required, etc.

[0158] M600, Data Recording Module: This module is configured to record the user's booking information. After the user completes the booking, this module records relevant booking information such as user identity information, booked flight price, benchmark price, over-limit amount, executed control method, etc. in the database or other storage media, providing a data basis for subsequent threshold adjustment.

[0159] M700, Threshold Adjustment Module: This module is configured to dynamically adjust the ladder threshold based on historical booking information. This module regularly or irregularly obtains historical booking information from the data recording module and can use machine learning algorithms or other statistical methods to analyze the data, and adjusts the ladder threshold or control method in the travel standard according to the analysis result. This module realizes the intelligence and automation of travel control.

[0160] M800, User Interface Module: This module is configured to provide a user interaction interface to display flight information, control prompts, and execute control operations. The user interacts with the system through this module, submits a booking request, views flight information, receives control prompts, and executes corresponding operations such as selecting the reason for over-limit and submitting for approval. This module is the bridge between the system and the user.

[0161] Each module interacts through data interfaces or message passing, etc., works together, and jointly realizes the intelligent control of the ladder threshold for travel tickets.

[0162] Through the above modular design, the intelligent control system for business travel ticket ladder thresholds provided by the present invention can effectively implement the various functions of the foregoing method embodiments, and has good scalability and maintainability. The system can automatically compare prices, match the difference standard, calculate the difference value, execute control, record the reservation information, and dynamically adjust the threshold according to the user's reservation request, so as to realize the automation, intelligence, and refinement of business travel control. While effectively controlling the business travel cost, it maximally takes into account the reasonable travel needs of users and improves the user experience. It should be noted that the above division and function description of the modules are only examples and are not limitations on the present invention. In other embodiments, the modules can be adjusted according to actual needs, for example, combining or splitting some modules, or adding other functional modules. The interaction method between the modules can also be adjusted according to the actual situation, for example, using different communication protocols or data formats. The present invention does not limit the specific module division, functions, and interaction methods of the system.

[0163] An embodiment of the present invention also provides a smart control program product for the stepped threshold of business travel air tickets. The program product includes computer instructions, and when the computer instructions are executed by a processor, the steps of the above method are implemented, so as to realize the smart control of the stepped threshold of business travel air tickets. A computer program is a sequence of instructions that a computer can recognize and execute, and it can be stored in various computer-readable storage media, such as read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, flash memory, etc. When the processor of the computer reads and executes these instructions from the storage medium, the computer can complete specific tasks. In the embodiment of the present invention, the computer instructions included in the computer program product, when executed by the processor, can implement the various steps of the smart control method for the stepped threshold of business travel air tickets described in the foregoing method embodiments, including: receiving a ticket reservation request submitted by a user through an online business travel reservation platform; obtaining multiple optional flight information based on travel information, and determining the reference flight information and the reference price according to a preset price comparison rule; determining at least two stepped thresholds corresponding to the user according to a preset business travel standard associated with the user identity information, and each stepped threshold corresponds to at least one preset control method; if the ticket price of the selected flight in the ticket reservation request is higher than the reference price, calculate the difference between the ticket price of the selected flight and the reference price, and execute the corresponding control method on the online business travel reservation platform according to the threshold range to which the difference belongs; otherwise, allow the user to directly make a reservation on the online business travel reservation platform; and the steps described in other optional embodiments, such as the specific content of the control method, the determination method of the stepped threshold, the steps of dynamic adjustment, user preference recommendation, business travel standard amount adjustment, over-limit fund pool control, etc. By executing these instructions, the processor can control the computer device to perform corresponding operations, so as to realize the smart control of ticket reservations, achieving the same technical effects as the foregoing method and system embodiments. The program product can be implemented using different programming languages, such as Java, Scala, Python, etc. It can be compiled and optimized for different operating systems and hardware platforms. The program product can be deployed in different deployment methods, such as directly deployed on a physical machine, deployed on a virtual machine, deployed in a containerized environment, etc.

[0164] By providing a program product containing computer instructions, the present invention can realize the smart control of the stepped threshold of business travel air tickets in the form of software, which is convenient for users to deploy and use on various computer devices, improving the feasibility and application scope of the present invention. Users only need to install or run the program product on the computer device to enjoy the smart business travel control service provided by the present invention, thereby effectively controlling business travel costs and enhancing the user experience.

[0165] The above content is a further detailed description of the present invention in combination with specific preferred embodiments. It cannot be determined that the specific implementation of the present invention is only limited to these descriptions. For those of ordinary skill in the technical field to which the present invention pertains, without departing from the concept of the present invention, several simple deductions or substitutions can still be made, and all should be regarded as belonging to the protection scope of the present invention.

Claims

1. A method for intelligent management and control of step thresholds of business travel tickets, applied to an online business travel booking platform, characterized in that: The following steps are involved: Receive a flight booking request submitted by a user through an online travel booking platform, where the flight booking request includes travel information; Based on the travel information, multiple optional flight information is obtained through the online travel booking platform, and at least one benchmark flight information is determined according to the preset price comparison rules, and the lowest price in the benchmark flight information is extracted as the benchmark price; Determine at least two step thresholds corresponding to the user according to the preset travel standard associated with the user identity information, each step threshold corresponding to at least one preset control method; If the ticket price of the flight selected in the ticket booking request is higher than the benchmark price, the difference between the ticket price of the selected flight and the benchmark price is calculated, and the corresponding control method is executed on the online travel booking platform according to the threshold range to which the difference belongs; otherwise, the user is allowed to make a direct booking on the online travel booking platform.

2. The intelligent control method for step threshold of business travel tickets according to claim 1 is characterized in that: The control methods include: When the difference is less than the first threshold, the user is prompted to select the reason for exceeding the standard; When the difference is greater than or equal to the first threshold and less than the second threshold, the user is allowed to make the reservation, but the part exceeding the first threshold is borne by the user personally; When the difference is greater than or equal to the second threshold, the user subscription is restricted.

3. The intelligent control method for step threshold of business travel tickets according to claim 1 is characterized in that: The price comparison rules include price comparison based on flight attribute information and / or price information, and the flight attribute information includes departure place, destination, take-off time, cabin class, airline company, and flight type.

4. The intelligent control method for step threshold of business travel tickets according to claim 1 is characterized in that: The step threshold is determined based on at least one of the following methods: Fixed amount increase based on base price; A percentage increase based on the base price; Dynamically adjust based on at least one of historical booking data and market price fluctuations; Personalized threshold setting based on user’s historical travel data or preferences.

5. The intelligent control method for step threshold of business travel tickets according to claim 1 is characterized in that: The control method also includes at least one of the following: When the difference is greater than or equal to the third threshold, the online travel booking platform prompts the user to submit the application for approval by a superior, and decides whether to allow the booking based on the approval result; When the difference is greater than or equal to the fourth threshold, other flights or travel plans that meet the difference standard are automatically recommended on the online travel booking platform; The proportion of corporate and individual payments will be flexibly allocated based on the extent to which the threshold is exceeded.

6. The intelligent control method for step threshold of business travel tickets according to claim 1 is characterized in that: The following steps are also included: Recording the user's booking information on the online travel booking platform, including the user's identity information, the booked air ticket price, the base price, the excess amount and the implementation control method; Based on the historical booking information recorded by the online travel booking platform, the step thresholds or control methods in the travel standards are dynamically adjusted through machine learning algorithms.

7. The intelligent control method for step threshold of business travel tickets according to claim 6 is characterized in that: The dynamic adjustment comprises the following steps: Analyze the frequency of overbooking, overbooking amount, travel time, and travel destination of each user group in the historical booking information recorded on the online travel booking platform; According to the analysis results and based on the preset optimization goals, adjust the step thresholds and / or control methods for the corresponding user groups.

8. The intelligent control method for step threshold of business travel tickets according to claim 1 is characterized in that: The following steps are also included: Based on the user's historical travel preferences, flights that meet the user's preferences are recommended on the online travel booking platform. The historical travel preferences include preferred airlines, flight times, and seat types.

9. The intelligent control method for step threshold of business travel tickets according to claim 1 is characterized in that: The travel standard includes a travel standard amount adjustment coefficient for different travel destinations, and the travel standard amount adjustment coefficient adjusts the step threshold according to the consumption level of the travel destination.

10. The intelligent control method for step threshold of business travel tickets according to claim 1, characterized in that: The following steps are also included: Set up an excess fund pool for a department or enterprise, which is used to record and limit the accumulated excess amount of a department or enterprise; When the flight price selected by the user is higher than the benchmark price, the excess amount will be recorded and the corresponding amount will be deducted from the excess fund pool; When the balance of the excess fund pool is lower than the threshold of the excess fund pool, an early warning message will be issued or the subsequent management and control methods will be adjusted.

11. A system for intelligent management and control of step thresholds of business travel tickets, applied to an online business travel booking platform, for implementing the intelligent management and control method of step thresholds of business travel tickets as claimed in any one of claims 1 to 10, characterized in that: The system comprises: A request receiving module configured to receive a flight booking request submitted by a user; A price comparison module, configured to obtain information of multiple optional flights based on travel information, and determine benchmark flight information and benchmark prices according to preset price comparison rules; A difference standard matching module, configured to match corresponding travel standards and step thresholds according to user identity information; a difference calculation module configured to calculate the difference between the ticket price and the base price; A control execution module is configured to execute a corresponding control method according to a threshold range to which the difference value belongs; A data recording module configured to record user reservation information; A threshold adjustment module configured to dynamically adjust the step threshold based on historical booking information; The user interface module is configured to provide a user interaction interface, display flight information, control prompts, and perform control operations.

12. A travel ticket ladder threshold intelligent management and control program product, characterized in that: The program product comprises computer instructions, which implement the steps of the method according to any one of claims 1 to 10 when executed by a processor.

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