Air ticket sales reward cost estimation method, system and device and storage medium
By obtaining air ticket sales reward policy and fare information, and calculating the reward ratio with historical data, the automated estimate of air ticket sales reward costs is achieved, the problem of manual statistics in the existing technology is solved, and the efficiency and accuracy of the estimate is improved. , suitable for standardized entry of multiple airlines and routes.
Patent Information
- Application Number
- CN202411507546.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-28
- Publication Date
- 2025-01-17
AI Technical Summary
In the prior art, the estimate of air ticket sales reward costs is problematic that the workload is large and inaccurate. It is mainly due to the non-standardization of the policy documents for the return and the complex rules, which makes it difficult to accurately estimate the total amount of the return rewards in the manual statistical cycle.
By obtaining air ticket sales reward policies and corresponding fare information, as well as historical sales reward data, calculating the reward ratio, and then estimating the air ticket sales reward costs, and automatically checking and storing in the system, supporting standardized entry of different airlines and routes , use big data offline model to analyze and estimate the reward amount.
It realizes the automated estimate of air ticket sales reward costs, saves costs, improves the efficiency and accuracy of the estimate, reduces labor costs, supports the standardized entry of multiple airlines and routes, and ensures accurate reward calculations within the post-return cycle.
Smart Images
Figure CN119323439A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of data processing technology, and in particular to a method, system, device and storage medium for estimating ticket sales incentive fees. Background Art
[0002] The post-rebate policy documents provided by airlines are non-standardized, and there are policies of different periods and temporary nature. The details of the rules are relatively complex, and the measurement and reward policies of different routes and sub-cabins may be different. The current mainstream practice is that when the post-rebate policy period expires, the finance department manually calculates the total amount of post-rebate rewards within the period, which is a large workload and cannot accurately estimate the post-rebate. Summary of the invention
[0003] The technical problem to be solved by the present disclosure is to overcome the defects of the prior art that the total amount of post-return rewards within a period is manually counted, which has a large workload and cannot accurately estimate the post-return, and to provide a method, system, device and storage medium for estimating the ticket sales reward fee.
[0004] The present invention solves the above technical problems through the following technical solutions:
[0005] A first aspect of the present disclosure provides a method for estimating ticket sales reward fees, the method comprising:
[0006] Obtaining the ticket sales incentive policy and ticket price information of sold tickets corresponding to the sales incentive policy;
[0007] Obtaining the reward ratio corresponding to the sales incentive policy;
[0008] The ticket sales incentive fee corresponding to the sales incentive policy is estimated based on the ticket price information of the sold tickets and the incentive ratio.
[0009] Preferably, the step of obtaining the reward ratio corresponding to the sales incentive policy includes:
[0010] Acquiring historical sales incentive data corresponding to the sales incentive policy;
[0011] The reward ratio corresponding to the sales incentive policy is estimated based on the historical sales incentive data.
[0012] Preferably, the estimation method further comprises:
[0013] Check the stated ticket sales award fees.
[0014] Preferably, the step of checking the ticket sales reward fee includes:
[0015] Obtaining the paid ticket sales reward bill information of the target airline and the actual ticket sales reward bill information corresponding to the fare information of the sold ticket;
[0016] In response to the paid ticket sales reward bill information being the same as the actual ticket sales reward bill information, a prompt message indicating that the reconciliation is correct is output.
[0017] Preferably, the step of checking the ticket sales reward fee also includes:
[0018] In response to the paid ticket sales reward bill information being different from the actual ticket sales reward bill information, a difference amount between the paid ticket sales reward bill information and the actual ticket sales reward bill information is obtained, and prompt information of the difference amount is output.
[0019] Preferably, the estimation method further comprises:
[0020] Storing the ticket sales incentive fees corresponding to the sales incentive policy;
[0021] and / or,
[0022] The steps of obtaining the ticket sales incentive policy include:
[0023] Obtain at least one of airline information, ticket information, route information, seat information, and sales incentive model;
[0024] The sales incentive policy of the air ticket is obtained according to at least one of the airline information, the ticket counter information, the route information, the seat information, and the sales incentive model.
[0025] A second aspect of the present disclosure provides a system for estimating ticket sales reward fees, the estimating system comprising:
[0026] A first acquisition module is used to acquire the sales incentive policy of the air ticket and the fare information of the sold air tickets corresponding to the sales incentive policy;
[0027] A second acquisition module is used to acquire the reward ratio corresponding to the sales incentive policy;
[0028] The estimation module is used to estimate the ticket sales incentive fee corresponding to the sales incentive policy according to the ticket price information of the sold tickets and the incentive ratio.
[0029] Preferably, the second acquisition module includes:
[0030] A first acquisition unit, configured to acquire historical sales incentive data corresponding to the sales incentive policy;
[0031] An estimating unit is used to estimate the reward ratio corresponding to the sales reward policy based on the historical sales reward data.
[0032] Preferably, the estimation system further comprises:
[0033] A checking module is used to check the ticket sales reward fee.
[0034] Preferably, the checking module comprises:
[0035] A second acquisition unit is used to acquire the paid ticket sales reward bill information of the target airline and the actual ticket sales reward bill information corresponding to the fare information of the sold ticket;
[0036] The output unit is used for outputting a prompt message indicating that the reconciliation is correct in response to the paid ticket sales reward bill information being the same as the actual ticket sales reward bill information.
[0037] Preferably, the checking module further comprises:
[0038] The third acquisition unit is used to obtain the difference amount between the paid ticket sales reward bill information and the actual ticket sales reward bill information in response to the paid ticket sales reward bill information being different from the actual ticket sales reward bill information, and output a prompt message of the difference amount.
[0039] Preferably, the estimation system further comprises:
[0040] A storage module, used to store the ticket sales incentive fees corresponding to the sales incentive policy;
[0041] and / or,
[0042] The first acquisition module includes:
[0043] A fourth acquisition unit, used to acquire at least one of airline information, ticket counter information, route information, seat information, and sales incentive mode;
[0044] The fifth acquisition unit is used to acquire the sales incentive policy of the air ticket according to at least one of the airline information, the ticket counter information, the route information, the seat information, and the sales incentive mode.
[0045] A third aspect of the present disclosure provides an electronic device, including a memory, a processor, and a computer program stored in the memory and used to run on the processor, wherein when the processor executes the computer program, the method for estimating the ticket sales reward fee described in the first aspect is implemented.
[0046] A fourth aspect of the present disclosure provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for estimating the ticket sales reward fee described in the first aspect is implemented.
[0047] A fifth aspect of the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the method for estimating ticket sales reward fees as described in the first aspect.
[0048] On the basis of being in accordance with the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present disclosure.
[0049] The positive and progressive effects of this disclosure are:
[0050] The present invention obtains the sales incentive policy of the air ticket, estimates the ticket sales incentive fee corresponding to the sales incentive policy according to the fare information of the sold tickets corresponding to the sales incentive policy and the incentive ratio, and can automatically estimate the ticket sales incentive fee based on the sales incentive policy, thereby saving costs and improving the efficiency and accuracy of the estimation. BRIEF DESCRIPTION OF THE DRAWINGS
[0051] Figure 1 This is a flow chart of a method for estimating ticket sales reward fees provided in Embodiment 1 of the present disclosure.
[0052] Figure 2 A schematic diagram of the modules of the system for estimating ticket sales incentive fees provided in Embodiment 2 of the present disclosure.
[0053] Figure 3 This is a schematic diagram of the structure of an electronic device for implementing a method for estimating ticket sales incentive fees according to Embodiment 3 of the present disclosure. DETAILED DESCRIPTION
[0054] The present disclosure is further described below by way of examples, but the present disclosure is not limited to the scope of the examples.
[0055] Prefixes such as "first" and "second" are used in the embodiments of the present disclosure only to distinguish different description objects, and have no limiting effect on the position, order, priority, quantity or content of the described objects. The use of prefixes such as ordinal numbers to distinguish description objects in the embodiments of the present disclosure does not constitute a limitation on the described objects. For the statement of the described objects, please refer to the description in the context of the claims or embodiments, and no unnecessary limitation should be constituted due to the use of such prefixes. In addition, in the description of the present embodiment, unless otherwise specified, the meaning of "plurality" is two or more.
[0056] In the embodiments of the present disclosure, the collection, storage, use, processing, transmission, provision and disclosure of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.
[0057] Example 1
[0058] Figure 1 A flowchart of a method for estimating ticket sales incentive fees provided in Example 1 of the present disclosure, such as Figure 1 As shown, the estimation method includes:
[0059] S1. Obtain the ticket sales incentive policy and the ticket price information of the sold tickets corresponding to the sales incentive policy;
[0060] In this embodiment, for the differentiated sales incentive policies (e.g., return policies) provided by different airlines, standardized entries are implemented in the system. Specifically, general rules are abstracted from the sales incentive policies (e.g., return policies) historically provided by the airlines (e.g., return policies) (e.g., general rules may be that some airlines only require routes, while others only require flights), and standardized entries are implemented in the system.
[0061] S2. Obtain the reward ratio corresponding to the sales incentive policy;
[0062] S3. Estimate the ticket sales incentive fee corresponding to the sales incentive policy based on the ticket price information and incentive ratio of the tickets that have been sold.
[0063] This embodiment obtains the sales incentive policy of the air ticket, estimates the air ticket sales incentive fee corresponding to the sales incentive policy according to the fare information of the sold air tickets corresponding to the sales incentive policy and the incentive ratio, and can automatically estimate the air ticket sales incentive fee based on the sales incentive policy, thereby saving costs and improving the efficiency and accuracy of the estimation.
[0064] In an optional embodiment, S2 includes:
[0065] Obtain historical sales incentive data corresponding to the sales incentive policy;
[0066] Estimate the reward ratio corresponding to the sales incentive policy based on historical sales incentive data.
[0067] During the specific implementation process, for the differentiated sales incentive policies (e.g., post-refund policies) provided by different airlines, standardized entry is achieved, and support is provided for the automatic calculation of the incentive ratio (e.g., post-refund incentive) at the end of the post-refund period, and the estimation of the ticket sales incentive expenses (e.g., post-refund income) at the beginning of the post-refund policy period.
[0068] Specifically, general rules are abstracted from the sales incentive policies (e.g., post-refund policies) historically provided by airlines, and standardized entries are implemented in the system. Through daily dimension analysis of the big data offline model, the ticket sales incentive expenses (e.g., post-refund incentive amount) of each sales incentive policy (e.g., post-refund policy) are estimated according to the changing trend of the daily ticket order volume.
[0069] For example, taking China Eastern Airlines' ticket sales incentive policy (e.g., post-refund policy) as an example, China Eastern Airlines provides airline business with the ticket sales incentive policy (e.g., post-refund policy) for the first quarter of 2024. In the post-refund system, the airline business enters the ticket sales incentive policy (e.g., post-refund policy) in a standardized manner according to airline information, ticket counter information, route information, cabin information, sales incentive model and other dimensions; uses a big data offline model to analyze the ticket sales incentive policy (e.g., post-refund policy) at the end of the post-refund period, and the expected reward ratio (e.g., reward tier) that can be achieved; when a user queries the fare information (e.g., fare information) of a route's ticket, if there is an China Eastern Airlines flight in the fare of the route, the fare information (e.g., fare) of the flight's sold tickets will be added. The ticket sales reward policy (e.g., post-refund policy) is matched with the ticket sales reward policy (e.g., post-refund policy), and the ticket sales reward fee (e.g., post-refund reward amount) is estimated according to the reward ratio (e.g., reward tier) estimated by the big data offline model, and the ticket sales reward fee (e.g., post-refund reward amount) is saved in the actual ticket sales reward bill information (e.g., ticket order information) corresponding to the fare information of the sold ticket; at the end of the first quarter of 2024, the ticket sales reward fees (e.g., post-refund reward amount) of all ticket orders that match the ticket sales reward policy (e.g., post-refund policy) in the first quarter are added up to obtain the total value of the ticket sales reward fee (e.g., post-refund reward amount) of the ticket sales reward policy (e.g., post-refund policy).
[0070] In an optional embodiment, the estimation method further includes:
[0071] S4. Check the ticket sales incentive fees.
[0072] In this embodiment, the ticket sales incentive fees are synchronized to the financial system to achieve automated reconciliation.
[0073] In an optional embodiment, S4 includes:
[0074] Obtain the paid ticket sales reward bill information of the target airline and the actual ticket sales reward bill information corresponding to the fare information of the sold tickets;
[0075] In response to the paid ticket sales reward bill information being the same as the actual ticket sales reward bill information, a prompt message indicating that the reconciliation is correct is output.
[0076] In an optional embodiment, S4 further includes:
[0077] In response to the paid ticket sales reward bill information being different from the actual ticket sales reward bill information, a difference amount between the paid ticket sales reward bill information and the actual ticket sales reward bill information is obtained, and prompt information of the difference amount is output.
[0078] In this embodiment, the difference amount between the paid ticket sales reward bill information and the actual ticket sales reward bill information is obtained, and a prompt message of the difference amount is output to notify the staff to confirm the communication.
[0079] In an optional embodiment, the estimation method further includes:
[0080] Stores the ticket sales incentive fees corresponding to the sales incentive policy.
[0081] In an optional embodiment, the step of obtaining the sales incentive policy of the air ticket in S1 includes:
[0082] Obtain at least one of airline information, ticket information, route information, seat information, and sales incentive model;
[0083] The sales incentive policy for air tickets is obtained based on at least one of airline information, ticket counter information, route information, cabin information, and sales incentive model.
[0084] This embodiment realizes the standardized entry of ticket sales incentive policies (for example, post-refund policies) of mainstream airlines in the business travel system, is compatible with domestic / international airlines, and supports post-refund entry based on different dimensions such as airline information, ticket counter information, route information, cabin information, sales incentive model, etc. It supports the maintenance of estimated incentive ratios based on ticket orders, and automatically calculates the total amount of ticket sales incentive fees corresponding to each ticket sales incentive policy (for example, post-refund policy) after the post-refund period ends and synchronizes it to the financial system for automated reconciliation, reducing the early entry of data and the labor cost of later calculations, greatly improving the efficiency and accuracy of estimates.
[0085] Example 2
[0086] Corresponding to the aforementioned embodiment of a method for estimating ticket sales incentive fees, the present disclosure also provides an embodiment of a system for estimating ticket sales incentive fees.
[0087] Figure 2 A schematic diagram of a module of a system for estimating ticket sales incentive fees provided in Embodiment 2 of the present disclosure, such as Figure 2 As shown, the estimation system includes: a first acquisition module 21, a second acquisition module 22, and an estimation module 23;
[0088] A first acquisition module 21 is used to acquire the sales incentive policy of the air ticket and the ticket price information of the sold air ticket corresponding to the sales incentive policy;
[0089] In this embodiment, for the differentiated sales incentive policies (e.g., return policies) provided by different airlines, standardized entries are implemented in the system. Specifically, general rules are abstracted from the sales incentive policies (e.g., return policies) historically provided by the airlines (e.g., return policies) (e.g., general rules may be that some airlines only require routes, while others only require flights), and standardized entries are implemented in the system.
[0090] The second acquisition module 22 is used to obtain the reward ratio corresponding to the sales reward policy;
[0091] The estimation module 23 is used to estimate the ticket sales incentive fee corresponding to the sales incentive policy according to the ticket price information and the incentive ratio of the sold tickets.
[0092] This embodiment obtains the sales incentive policy of the air ticket, estimates the air ticket sales incentive fee corresponding to the sales incentive policy according to the fare information of the sold air tickets corresponding to the sales incentive policy and the incentive ratio, and can automatically estimate the air ticket sales incentive fee based on the sales incentive policy, thereby saving costs and improving the efficiency and accuracy of the estimation.
[0093] In an optional embodiment, the second acquisition module includes:
[0094] A first acquisition unit, used to acquire historical sales incentive data corresponding to the sales incentive policy;
[0095] The estimation unit is used to estimate the reward ratio corresponding to the sales reward policy based on historical sales reward data.
[0096] During the specific implementation process, for the differentiated sales incentive policies (e.g., post-refund policies) provided by different airlines, standardized entry is achieved, and support is provided for the automatic calculation of the incentive ratio (e.g., post-refund incentive) at the end of the post-refund period, and the estimation of the ticket sales incentive expenses (e.g., post-refund income) at the beginning of the post-refund policy period.
[0097] Specifically, general rules are abstracted from the sales incentive policies (e.g., post-refund policies) historically provided by airlines, and standardized entries are implemented in the system. Through daily dimension analysis of the big data offline model, the ticket sales incentive expenses (e.g., post-refund incentive amount) of each sales incentive policy (e.g., post-refund policy) are estimated according to the changing trend of the daily ticket order volume.
[0098] For example, taking China Eastern Airlines' ticket sales incentive policy (e.g., post-refund policy) as an example, China Eastern Airlines provides airline business with the ticket sales incentive policy (e.g., post-refund policy) for the first quarter of 2024. In the post-refund system, the airline business enters the ticket sales incentive policy (e.g., post-refund policy) in a standardized manner according to airline information, ticket counter information, route information, cabin information, sales incentive model and other dimensions; uses a big data offline model to analyze the ticket sales incentive policy (e.g., post-refund policy) at the end of the post-refund period, and the expected reward ratio (e.g., reward tier) that can be achieved; when a user queries the fare information (e.g., fare information) of a route's ticket, if there is an China Eastern Airlines flight in the fare of the route, the fare information (e.g., fare) of the flight's sold tickets will be added. The ticket sales reward policy (e.g., post-refund policy) is matched with the ticket sales reward policy (e.g., post-refund policy), and the ticket sales reward fee (e.g., post-refund reward amount) is estimated according to the reward ratio (e.g., reward tier) estimated by the big data offline model, and the ticket sales reward fee (e.g., post-refund reward amount) is saved in the actual ticket sales reward bill information (e.g., ticket order information) corresponding to the fare information of the sold ticket; at the end of the first quarter of 2024, the ticket sales reward fees (e.g., post-refund reward amount) of all ticket orders that match the ticket sales reward policy (e.g., post-refund policy) in the first quarter are added up to obtain the total value of the ticket sales reward fee (e.g., post-refund reward amount) of the ticket sales reward policy (e.g., post-refund policy).
[0099] In an optional embodiment, the estimation system further includes:
[0100] The verification module is used to verify the ticket sales reward fees.
[0101] In this embodiment, the ticket sales incentive fees are synchronized to the financial system to achieve automated reconciliation.
[0102] In an optional embodiment, the checking module includes:
[0103] A second acquisition unit is used to acquire the paid ticket sales reward bill information of the target airline and the actual ticket sales reward bill information corresponding to the fare information of the sold tickets;
[0104] The output unit is used to output a prompt message indicating that the reconciliation is correct in response to the paid ticket sales reward bill information being the same as the actual ticket sales reward bill information.
[0105] In an optional embodiment, the checking module further includes:
[0106] The third acquisition unit is used to obtain the difference amount between the paid ticket sales reward bill information and the actual ticket sales reward bill information in response to the paid ticket sales reward bill information being different from the actual ticket sales reward bill information, and output a prompt message of the difference amount.
[0107] In this embodiment, the difference amount between the paid ticket sales reward bill information and the actual ticket sales reward bill information is obtained, and a prompt message of the difference amount is output to notify the staff to confirm the communication.
[0108] In an optional embodiment, the estimation system further includes:
[0109] A storage module, used for storing ticket sales incentive fees corresponding to the sales incentive policy;
[0110] In an optional embodiment, the first acquisition module includes:
[0111] A fourth acquisition unit, used to acquire at least one of airline information, ticket counter information, route information, seat information, and sales incentive mode;
[0112] The fifth acquisition unit is used to acquire the sales incentive policy of the air ticket according to at least one of the airline information, ticket counter information, route information, seat information, and sales incentive mode.
[0113] This embodiment realizes the standardized entry of ticket sales incentive policies (for example, post-refund policies) of mainstream airlines in the business travel system, is compatible with domestic / international airlines, and supports post-refund entry based on different dimensions such as airline information, ticket counter information, route information, cabin information, sales incentive model, etc. It supports the maintenance of estimated incentive ratios based on ticket orders, and automatically calculates the total amount of ticket sales incentive fees corresponding to each ticket sales incentive policy (for example, post-refund policy) after the post-refund period ends and synchronizes it to the financial system for automated reconciliation, reducing the early entry of data and the labor cost of later calculations, greatly improving the efficiency and accuracy of estimates.
[0114] As for the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The system embodiment described above is only illustrative, wherein the units described as separate components may or may not be physically separated, and the components as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the disclosed solution.
[0115] Example 3
[0116] Figure 3This is a structural diagram of an electronic device shown in Embodiment 3 of the present disclosure, wherein the electronic device includes a memory, a processor, and a computer program stored in the memory and used to run on the processor, and when the processor executes the computer program, the method for estimating the ticket sales reward fee described in any of the above embodiments is implemented. Figure 3 The electronic device 90 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.
[0117] like Figure 3 As shown, the electronic device 90 may be in the form of a general-purpose computing device, for example, it may be a server device. The components of the electronic device 90 may include, but are not limited to: at least one processor 91, at least one memory 92, and a bus 93 connecting different system components (including the memory 92 and the processor 91).
[0118] The bus 93 includes a data bus, an address bus, and a control bus.
[0119] The memory 92 may include a volatile memory, such as a random access memory (RAM) 921 and / or a cache memory 922 , and may further include a read only memory (ROM) 923 .
[0120] The memory 92 may also include a program tool 925 (or utility) having a set (at least one) of program modules 924, such program modules 924 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.
[0121] The processor 91 executes various functional applications and data processing by running the computer program stored in the memory 92, such as the method for estimating the ticket sales reward fee provided in any of the above embodiments.
[0122] The electronic device 90 may also communicate with one or more external devices 94 (e.g., keyboards, pointing devices, etc.). Such communication may be performed via an input / output (I / O) interface 95. Furthermore, the electronic device 90 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 96. Figure 3 As shown, the network adapter 96 communicates with other modules of the electronic device 90 via the bus 93. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 90, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
[0123] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided into multiple units / modules to be embodied.
[0124] Example 4
[0125] Embodiment 4 of the present disclosure further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for estimating the ticket sales reward fee provided in any of the above embodiments.
[0126] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.
[0127] Example 5
[0128] Embodiment 5 of the present disclosure further provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for estimating ticket sales reward fees.
[0129] Among them, the program code for executing the computer program product of the present disclosure can be written in any combination of one or more programming languages, and the program code can be executed completely on the user device, partially on the user device, as an independent software package, partially on the user device and partially on a remote device, or completely on the remote device.
[0130] Although the specific embodiments of the present disclosure are described above, those skilled in the art should understand that this is only an example, and the protection scope of the present disclosure is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present disclosure, but these changes and modifications all fall within the protection scope of the present disclosure.
Claims
1. A method for estimating ticket sales incentive fees, characterized in that: The estimation method includes: Obtaining the ticket sales incentive policy and ticket price information of sold tickets corresponding to the sales incentive policy; Obtaining the reward ratio corresponding to the sales incentive policy; The ticket sales incentive fee corresponding to the sales incentive policy is estimated based on the ticket price information of the sold tickets and the incentive ratio.
2. The method for estimating ticket sales incentive fees according to claim 1, characterized in that: The step of obtaining the reward ratio corresponding to the sales incentive policy includes: Acquiring historical sales incentive data corresponding to the sales incentive policy; The reward ratio corresponding to the sales incentive policy is estimated based on the historical sales incentive data.
3. The method for estimating ticket sales incentive fees according to claim 1, characterized in that: The estimation method further comprises: Check the stated ticket sales award fees.
4. The method for estimating ticket sales incentive fees according to claim 3, characterized in that: The step of checking the ticket sales reward fee includes: Obtaining the paid ticket sales reward bill information of the target airline and the actual ticket sales reward bill information corresponding to the fare information of the sold ticket; In response to the paid ticket sales reward bill information being the same as the actual ticket sales reward bill information, a prompt message indicating that the reconciliation is correct is output.
5. The method for estimating ticket sales incentive fees according to claim 4, characterized in that: The step of checking the ticket sales reward fee also includes: In response to the paid ticket sales reward bill information being different from the actual ticket sales reward bill information, a difference amount between the paid ticket sales reward bill information and the actual ticket sales reward bill information is obtained, and prompt information of the difference amount is output.
6. The method for estimating ticket sales incentive fees according to claim 1, characterized in that: The estimation method further comprises: Storing the ticket sales incentive fees corresponding to the sales incentive policy; And / or, the step of obtaining the ticket sales incentive policy includes: Obtain at least one of airline information, ticket information, route information, seat information, and sales incentive model; The sales incentive policy of the air ticket is obtained according to at least one of the airline information, the ticket counter information, the route information, the seat information, and the sales incentive model.
7. A system for estimating ticket sales incentive fees, characterized in that: The estimation system comprises: A first acquisition module is used to acquire the sales incentive policy of the air ticket and the fare information of the sold air tickets corresponding to the sales incentive policy; A second acquisition module is used to acquire the reward ratio corresponding to the sales incentive policy; The estimation module is used to estimate the ticket sales incentive fee corresponding to the sales incentive policy according to the ticket price information of the sold tickets and the incentive ratio.
8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and used to run on the processor, characterized in that: When the processor executes the computer program, the method for estimating the ticket sales reward fee according to any one of claims 1 to 6 is implemented.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for estimating the ticket sales reward fee according to any one of claims 1 to 6 is implemented.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for estimating ticket sales reward fees according to any one of claims 1 to 6 is implemented.