WO2020006838A1 - 差旅预算分析方法、预算分析装置、终端及可读存储介质 - Google Patents

差旅预算分析方法、预算分析装置、终端及可读存储介质 Download PDF

Info

Publication number
WO2020006838A1
WO2020006838A1 PCT/CN2018/102058 CN2018102058W WO2020006838A1 WO 2020006838 A1 WO2020006838 A1 WO 2020006838A1 CN 2018102058 W CN2018102058 W CN 2018102058W WO 2020006838 A1 WO2020006838 A1 WO 2020006838A1
Authority
WO
WIPO (PCT)
Prior art keywords
travel
budget
preset
reservation
resources
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2018/102058
Other languages
English (en)
French (fr)
Inventor
张欣宇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ping An Technology Shenzhen Co Ltd
Original Assignee
Ping An Technology Shenzhen Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ping An Technology Shenzhen Co Ltd filed Critical Ping An Technology Shenzhen Co Ltd
Publication of WO2020006838A1 publication Critical patent/WO2020006838A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Definitions

  • the present application relates to the technical field of expense analysis, and in particular, to a travel budget analysis method, a budget analysis device, a budget analysis terminal, and a computer-readable storage medium.
  • the main purpose of this application is to provide a travel budget analysis method, a budget analysis device, a budget analysis terminal, and a computer-readable storage medium. To effectively supervise various expenses, and reduce the technical problems of financial management separation efficiency.
  • the travel budget analysis method includes:
  • Output a preset number of target travel resources with the smallest preferential difference among the travel resources corresponding to each of the reservation items, for selection by the traveling staff of the travel plan.
  • the present application also provides a budget analysis device.
  • the budget analysis device includes:
  • An obtaining module configured to obtain a preset travel plan, and obtain a preset optional resource set in a third-party system according to the set of reservations in the travel plan;
  • a determining module configured to determine a target price range of each of the reservations according to a budget amount and a preset floating range of each of the reservations in the reservation set;
  • a calculation module configured to obtain travel resources in the optional resource set that are within the target price range corresponding to each of the reservation items, and according to the budget limit of each of the reservation items and the corresponding travel resource Calculate the difference in travel prices to obtain the preferential difference for each of the stated reservations;
  • An output module is configured to output a predetermined preset number of target travel resources with the smallest preferential difference among the travel resources corresponding to each of the reservation items, for selection by the traveling staff of the travel plan.
  • the present application further provides a budget analysis terminal, where the budget analysis terminal includes: a memory, a processor, a communication bus, and a travel budget analysis program stored on the memory, wherein the travel When the budget analysis program is executed by the processor, the steps of the travel budget analysis method described above are implemented.
  • the present application also provides a computer-readable storage medium storing a travel budget analysis program, wherein when the travel budget analysis program is executed by a processor, the implementation is as follows The steps of the travel budget analysis method described above.
  • This application obtains a preset travel plan, and obtains a corresponding optional resource set in a preset third-party system according to the set of reservation items in the travel plan; according to each reservation item in the set of reservation items, The budget quota and a preset floating range determine a target price range for each of the reservations; acquiring travel resources in the optional resource set that are within the target price range corresponding to each of the reservations, and according to each of the The difference between the budget amount of the reservation item and the travel price of the corresponding travel resource is calculated to obtain the preferential difference value of each of the reservation items; and the discount in the travel resource corresponding to each of the reservation items is output A preset preset number of target travel resources with the smallest difference is provided for the travelling employee of the travel plan to choose.
  • This application connects to a third-party system to obtain the approximate cost of reservations from the third-party system, and recommends suitable and affordable travel plans to employees, thereby avoiding waste of corporate costs by employees. Due to reasonable travel arrangements in advance, With a corresponding travel plan, you can control the cost of the enterprise, provide a good reference for the financial budget expenditure, and make the financial review basis. And can further analyze the data in the travel plan, correct unnecessary invalid costs, improve travel efficiency, facilitate financial reimbursement review, and facilitate employee travel.
  • FIG. 1 is a schematic flowchart of a first embodiment of a travel budget analysis method for this application
  • FIG. 2 is a detailed flowchart of step S40 in FIG. 1; FIG.
  • FIG. 3 is a schematic diagram of function modules of the budget analysis device of the present application.
  • FIG. 4 is a schematic diagram of a device structure of a hardware operating environment involved in the method according to the embodiment of the present application.
  • the travel budget analysis method includes:
  • Step S10 Obtain a preset travel plan, and obtain a preset optional resource set in a third-party system according to a set of reservations in the travel plan;
  • the enterprise presets the travel plan in advance, and uses the online booking method to properly arrange the reservations, thereby avoiding the unreasonable use of travel expenses.
  • the system first obtains the planned travel plan, and analyzes the itinerary position of the current business trip, such as origin, transit, and destination.
  • the set of reservations can refer to the consumption items that may occur during the travel, such as air tickets, accommodation, catering, rental, visiting gifts, etc. It should be noted that the set of reservations can be directly specified in the travel plan or The system obtains key fields in the travel plan to determine which set of reservations need to be prepared. For example, based on the location of the trip, the system can determine whether it is necessary to stop at a transit point or destination, so that it can determine whether reservations such as air tickets and hotel accommodations are required; or the set of reservations can be specified directly by the travel plan.
  • the system can obtain optional resource collections from preset third-party booking systems. If the reservation set includes ticket reservations, the system will obtain all the flight information, including ticket prices, discount information, and so on, from the connecting ticket reservation system currently on the way from the origin to the destination. For different flights, the corresponding ticket reservations at different times are all optional resource collections.
  • Step S20 Determine a target price range of each of the reservations according to a budget amount and a preset floating range of each of the reservations in the reservation set;
  • Each set of reservations in the travel plan collection has a corresponding budget limit. This is a cost alert line set in advance by the company to prevent employees from wasting travel expenses.
  • Each reservation has a corresponding preset budget limit, for example, the hotel budget is 500 yuan, the air ticket budget is 2200 yuan, and so on.
  • the budget limit is only for reference. You can also float up and down based on this interval, but the company needs to consider the cost, so it will set a preset floating range for employees to adjust the price within the controllable range.
  • the hotel budget is 500 yuan
  • the preset floating range of hotel reservations is 200 yuan, that is, in the case of a budget of 500 yuan, the target price range can be adjusted to 500-700 yuan based on the preset floating range. . That is, employees can have a budget of 500-700 yuan for hotel reservations.
  • Step S30 Acquire travel resources in the optional resource set that are within the target price range corresponding to each of the reservation items, and according to the budget limit of each of the reservation items and the difference of the corresponding travel resource Calculating the difference between the travel prices to obtain the preferential difference for each of the reservations;
  • the system will obtain all travel resources whose price range is within the target price range, and the consumption price of each travel resource, and calculate the preferential difference between the consumption price and the budget quota. Specifically, the air ticket reservation resource in the target price range among all the available resources is obtained, and the discount difference is determined according to the amount of the air ticket price and the amount of expenses omitted from the budget quota. For example, if the reservation is a hotel reservation, the system will be connected to the hotel reservation system, obtain the optional resources within the target price range in the hotel reservation system, and obtain the hotel price of the eligible optional resources, based on the hotel price and the budget quota Calculate the savings difference between the two.
  • the system obtains hotel resources with a target price range of 500-700 yuan among optional resources, while hotel resource A is 600 yuan, hotel resource B is 400 yuan, budget limit is 500 yuan, and hotel resource A is within the budget limit.
  • hotel resource A is 600 yuan
  • hotel resource B is 400 yuan
  • budget limit is 500 yuan
  • hotel resource A is within the budget limit.
  • the reservation resource finally obtained by the system will not be the cheapest, but the most reasonable within the allowable range. This is the meaning of the preset floating range to obtain the target price range. Slightly higher prices for travel resources can be allowed.
  • the system gets the difference between the booked resource and the budget quota, and calculates how much the budget is saved to get the discount difference. The discount difference can be negative.
  • Step S40 Output a preset number of target travel resources with the smallest preferential difference among the travel resources corresponding to each of the reservation items, for selection by the traveling staff of the travel plan.
  • the system After obtaining the preferential difference in each travel resource, the system will obtain the reservation resource with the smallest difference among all travel resources, and only display the previously preset reservation resources to the travelling staff of the travel plan.
  • the discount difference is 30 yuan, 20 yuan and -20 yuan.
  • the system only displays the first 2 booking resources, only the booking resources with a discount difference of 20 yuan and -20 yuan will be displayed.
  • Employees of this travel plan can choose according to the actual situation, such as traffic conditions, accommodation environment, security and so on.
  • the step of outputting a predetermined preset number of target travel resources with the smallest discount difference among the travel resources corresponding to each of the reservation items is provided for the travel plan employee to select.
  • Step S41 Obtain a matching preferential activity of optional resources corresponding to each of the reservations in the third-party system
  • Step S42 Locate the corresponding matching resource combination in the optional resource set according to each matching preferential activity, and calculate the matching preference difference of the corresponding matching resource combination according to each matching preferential activity;
  • the matching target resource in the reservation resource can be located according to the event object in the activity.
  • the collocation resources are active objects. There may be multiple activities in third-party systems, because composable resources can include multiple.
  • Matchable resources include at least two resources, such as ticket resource A1 and hotel resource A2.
  • the combination of preferential activities is the price discount specified for separate booking and combination booking for different resources. Therefore, the system can calculate the a1 fee required for separate booking of computer ticket resource A1 and the a2 fee required for separate booking of hotel resource A2, and calculate the total cost to be a1 + a2. At the same time, the system can calculate the discount that A1 and A2 can enjoy under the matching discount activity.
  • the total cost is 0.8 * (a1 + a2).
  • Step S43 output a preset number of target travel resources with the smallest preferential difference among the travel resources corresponding to each of the booking items, and output the lowest matching preferential difference among all the optional resources
  • the preset number can be combined with a resource combination for a travelling employee of the travel plan to choose.
  • the system can also output the preset resources with the smallest discount difference at the same time, so that the traveling staff of the travel plan can minimize the budget expenditure.
  • This application obtains preset travel plans, and obtains all optional resources corresponding to preset third-party systems according to all reservations in the travel plan; according to the budget limit of each reservation in the travel plan And the preset floating range to determine the target price range; obtain all travel resources within the target price range among the optional resources, and calculate the difference based on the budget amount of all reservations and the travel price of the travel resource to obtain the The discount difference of reservations; output the preset preset number of reservation resources with the smallest discount difference among all travel resources in each reservation for the travel plan employees to choose.
  • This application connects to a third-party system to obtain the approximate cost of reservations from the third-party system, and recommends suitable and affordable travel plans to employees, thereby avoiding waste of corporate costs by employees.
  • a second embodiment of the travel budget analysis method of the present application is proposed.
  • the difference from the foregoing embodiment is that the output of all the optional resources is After the step of matching the preset number of combinable resources with the smallest discount difference for selection by the traveling staff of the travel plan, the method further includes:
  • Step S50 When a budget expansion request based on the travel plan is detected, send the budget expansion request to a preset review mailbox;
  • the budget amount of each reservation item of the travel plan specifies detailed consumption matters for the traveling staff.
  • unexpected events may occur, such as the need to go to another location with the customer for a field assessment, then new transportation costs, accommodation costs, food costs, etc. must be required, and the travel plan does not include All budgets for this burst plan. Therefore, the travelling employee can submit a budget expansion request to the system based on the travel plan. The request must include the reason for the request. The system will send the budget expansion request to the preset review mailbox for the manager of the preset review mailbox to expand the budget. Ask for a qualification review to determine approval.
  • step S60 when the preset approval mailbox receives a review approval prompt based on the budget expansion request, the budget quota of each of the reservation items is expanded and adjusted according to the reservation percentage.
  • the system receives the approval prompt for the preset review mailbox based on the budget expansion request, it proves that the budget expansion request is approved.
  • the budget limit of each reservation will be expanded and adjusted based on the original.
  • the degree of expansion adjustment is adjusted according to the reservation percentage set by the system in advance. Through the reservation, the reservation percentage can be set at about 30%. That is to say, after obtaining the review and approval prompt, the budget of the reservation can be increased by 30% of the budget. Of course, the specific situation is determined, and the reservation percentage can be customized according to the actual situation.
  • a third embodiment of the travel budget analysis method of the present application is proposed.
  • the difference from the foregoing embodiment is that the travel plan is recorded in a historical database.
  • a historical travel plan As a historical travel plan,
  • the step of expanding and adjusting the budget quota of each of the reservation items by the booking percentage further includes:
  • Step S70 Obtain a request frequency for budget expansion request based on the travel plan within a first preset time
  • Step S80 when it is detected that the frequency of the request is greater than a preset value, obtaining an expansion amount of each of the predetermined items in each of the budget expansion requests;
  • the request frequency can reflect the reasonableness of the budget amount of each reservation made by the enterprise to a certain extent. If there are too many requests from employees on business trips, it means that the budget set by the company is unreasonable and needs to be reviewed and formulated again.
  • the system sets a preset value as the reference value of the request frequency. When the request frequency is detected to be greater than the preset value, it indicates that the range of the original budget quota was set smaller, or it could not keep up with price increases, and further adjustments were needed. At this time, the system obtains the expansion amount in all budget expansion requests.
  • Step S90 Calculate the average value of the expansion amount of the corresponding predetermined item according to each of the expansion amounts, and calculate according to the average value of the expansion amount and the corresponding preset floating range to obtain a new preset of each of the predetermined items. Floating range.
  • the expansion amount can reflect the funding gap in the historical travel plan, so the system can calculate the average expansion amount based on all expansion amounts to obtain the amount of each expansion budget. Because the booking has a corresponding preset floating range, the system will add the average value of the expanded amount to the preset floating range on the basis of the preset floating range, that is, the upper limit of the preset floating range is adjusted upward by the average value of the expanded amount. Range. In this way, the system can obtain a new preset floating range as the reference floating range of the reservation, thereby updating the preset floating range of the reservation to a reasonable range.
  • the step of outputting a target travel resource of a preset number that has the smallest preferential difference among the travel resources corresponding to each of the reservation items for selection by the traveling staff of the travel plan further includes:
  • Step S100 Obtain the consumption amount of each of the reservation items in the second preset time, and calculate the corresponding average consumption value of each of the reservation items according to each of the consumption amounts;
  • budget may not match the budget.
  • the system will obtain the consumption amount of each reservation in the historical travel plan, and calculate the average consumption value of each reservation based on all the consumption amounts.
  • step S110 the consumption frequency of each of the reservation items in the second preset time is greater than the corresponding consumption frequency of the average consumption value
  • Step S120 when there is a first to-be-adjusted reservation item whose consumption frequency is greater than a corresponding preset frequency, expand and adjust the average consumption value of the first to-be-adjusted reservation item by a preset percentage to obtain the to-be-adjusted item New budget line for reservations.
  • the system sets a preset frequency as the reference threshold for the consumption frequency.
  • the preset frequency is 20%.
  • the consumption frequency is 50%, which is greater than the preset frequency by 20%, and the preset percentage is 20%.
  • the step of outputting a target travel resource of a previously preset number with the smallest discount difference among the travel resources corresponding to each of the reservation items for selection by a travelling employee of the travel plan further includes:
  • Step a Obtain a consumption amount of each of the reservations in a third preset time, and calculate an average consumption amount of each of the reservations according to each of the consumptions;
  • budget quota The consumption amount of each reservation in the historical travel plan serves as a reference for the new budget quota.
  • the system calculates the average consumption amount of all consumption amounts.
  • the average consumption amount can represent the approximate consumption level of each reservation.
  • step b when it is detected that there is a second to-be-adjusted booking item whose average consumption amount is greater than the first percentage of the corresponding budget amount, calculation is performed according to the second percentage fluctuation of the average consumption amount to determine the The new budget line for the second scheduled reservation is described.
  • the first percentage refers to a percentage in which the average consumption amount allowed by the system setting is larger than the budget amount.
  • the system will The interval is adjusted, and the average consumption amount is fluctuated by a second percentage, and the value after the second percentage fluctuation is calculated based on the average consumption amount as a new budget limit for each reservation.
  • the average consumption is 500 yuan and the budget is 200-400 yuan.
  • the first percentage is 20% and the second percentage is 15%.
  • 500 is 25% larger than 400, and 25% is greater than the first percentage of 20%, so adjust the budget line based on the average consumption.
  • the budget of the reservations can be changed from the original 200-400 yuan to the new budget of 375-575 yuan.
  • a seventh embodiment of the travel budget analysis method of the present application is proposed.
  • the difference from the previous embodiment is that according to the The steps of determining the target price range of each of the reservations by the budget amount and the preset floating range of each reservation include:
  • Step c Obtain the employee level of the traveling employee in the travel plan, and obtain a preset floating range mapped to the employee level;
  • Step d Determine a target price interval according to a budget amount and a preset floating range of each of the reservation items in the reservation item set.
  • the traveling employees corresponding to the travel plan have their own employee levels, and the preset floating ranges that different employee levels can enjoy are also different.
  • the sales director has a higher level of employees, and the preset floating range is relatively high; while the average salesperson has a lower level of employees, the preset floating range that can be obtained is also relatively low.
  • the enterprise has set corresponding preset floating ranges for different employee levels.
  • a mapping table of employee levels-preset floating ranges is stored in the system. For example, if the travelling employee is a sales director, the accommodation environment must be a better accommodation hotel such as a three-star hotel, and if the traveling employee is an ordinary salesperson, the accommodation environment can be an economy hotel such as an express hotel. And beyond the budget limit, the preset floating range needs to be determined according to the employee level of the traveling employee. The system will obtain a preset floating range that is mapped to the employee level as a reference, and determine the target price range based on the budget amount of each reservation in the travel plan and the preset floating range.
  • the budget analysis device includes:
  • An obtaining module configured to obtain a preset travel plan, and obtain a preset optional resource set in a third-party system according to the set of reservations in the travel plan;
  • a determining module configured to determine a target price range of each of the reservations according to a budget amount and a preset floating range of each of the reservations in the reservation set;
  • a calculation module configured to obtain travel resources in the optional resource set that are within the target price range corresponding to each of the reservation items, and according to the budget limit of each of the reservation items and the corresponding travel resource Calculate the difference in travel prices to obtain the preferential difference for each of the stated reservations;
  • An output module is configured to output a predetermined preset number of target travel resources with the smallest preferential difference among the travel resources corresponding to each of the reservation items, for selection by the traveling staff of the travel plan.
  • FIG. 4 is a schematic diagram of a device structure of a hardware operating environment involved in the method according to the embodiment of the present application.
  • the terminal may be a PC, or may be a smart phone, a tablet computer, an e-book reader, or MP3 (Moving Picture). Experts Group Audio Layer III, standard audio layer 3) player, MP4 (Moving Picture Experts Group Audio Layer IV, compression standard audio layer for motion picture experts 4) Terminal equipment such as players, portable computers.
  • MP3 Moving Picture
  • Experts Group Audio Layer III standard audio layer 3
  • MP4 Moving Picture Experts Group Audio Layer IV, compression standard audio layer for motion picture experts 4
  • Terminal equipment such as players, portable computers.
  • the budget analysis terminal may include a processor 1001, such as a CPU, a memory 1005, and a communication bus 1002.
  • the communication bus 1002 is used to implement connection and communication between the processor 1001 and the memory 1005.
  • the memory 1005 may be a high-speed RAM memory or a non-volatile memory. memory), such as disk storage.
  • the memory 1005 may optionally be a storage device independent of the foregoing processor 1001.
  • the budget analysis terminal may further include a travelling employee interface, a network interface, a camera, an RF (Radio) Frequency) circuits, sensors, audio circuits, WiFi modules, etc.
  • the employee interface of the travel plan may include a display screen, an input unit such as a keyboard, and the optional employee interface of the travel plan may also include a standard wired interface and a wireless interface.
  • the network interface can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).
  • the structure of the budget analysis terminal shown in FIG. 4 does not constitute a limitation on the budget analysis terminal, and may include more or fewer components than shown, or a combination of some components or different components. Layout.
  • the memory 1005 as a computer storage medium may include an operating system, a network communication module, and a travel budget analysis program.
  • the operating system is a program that manages and controls the hardware and software resources of the budget analysis terminal, and supports the operation of the travel budget analysis program and other software and / or programs.
  • the network communication module is used to implement communication between components in the memory 1005 and to communicate with other hardware and software in the budget analysis terminal.
  • the processor 1001 is configured to execute a travel budget analysis program stored in the memory 1005, and implement the following steps:
  • Output a preset number of target travel resources with the smallest preferential difference among the travel resources corresponding to each of the reservation items, for selection by the traveling staff of the travel plan.
  • the step of outputting a predetermined preset number of target travel resources with the smallest discount difference among the travel resources corresponding to each of the reservation items for selection by the traveling staff of the travel plan includes :
  • the method further includes:
  • the budget quota of each of the reservation items is expanded and adjusted according to the reservation percentage.
  • step of adjusting and adjusting the budget quota of each of the reservation items according to the reservation percentage when the preset approval mailbox receives a review approval prompt based on the budget expansion request is further included:
  • An average value of the expansion amount of the corresponding predetermined item is calculated according to each of the expansion amounts, and a calculation is performed according to the average value of the expansion amount and the corresponding preset floating range to obtain a new preset floating range of each of the predetermined items.
  • the travel plan employee after the step of outputting a preset preset number of target travel resources with the smallest discount difference among the travel resources corresponding to each of the reservation items, for the travel plan employee to select Also includes:
  • the average consumption value of the first to-be-adjusted reservation item is expanded and adjusted by a preset percentage to obtain the New budget line.
  • the preset preset number of target travel resources with the smallest discount difference among the travel resources corresponding to each of the reservations are output after the step selected by the travelling employee of the travel plan.
  • the step of determining a target price range of each of the reservation items according to the budget amount and a preset floating range of each reservation item in the reservation item set includes:
  • a target price interval is determined according to a budget amount and a preset floating range of each of the reservation items in the reservation item set.
  • This application also provides a computer-readable storage medium, where the computer-readable storage medium stores one or more programs, and the one or more programs can also be executed by one or more processors for:
  • Output a preset number of target travel resources with the smallest preferential difference among the travel resources corresponding to each of the reservation items, for selection by the traveling staff of the travel plan.
  • the methods in the above embodiments can be implemented by means of software plus a necessary universal hardware platform, and of course, also by hardware, but in many cases the former is better Implementation.
  • the technical solution of this application that is essentially or contributes to the existing technology can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, The optical disc) includes several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in the embodiments of the present application.
  • a terminal device which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Finance (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Technology Law (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

一种差旅预算分析方法、预算分析装置、预算分析终端及计算机可读存储介质，该差旅预算分析方法包括：获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合（S10）；根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间（S20）；获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值（S30）；输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择（S40）。所述方法避免对差旅费用的浪费，通过数据分析优化财务预算，提高差旅出行效率。

Description

差旅预算分析方法、预算分析装置、终端及可读存储介质
本申请要求于2018年07月03日提交中国专利局、申请号为201810733668.5、发明名称为“差旅预算分析方法、预算分析装置、终端及可读存储介质”的中国专利申请的优先权，其全部内容通过引用结合在申请中。
技术领域
本申请涉及费用分析技术领域，尤其涉及一种差旅预算分析方法、预算分析装置、预算分析终端及计算机可读存储介质。
背景技术
目前，企业派员工外出商务差旅时，通常会给予员工相应的差旅费用，例如机票预算，酒店住宿预算等等，但是现实情况中，由于没有预先规划好差旅计划，经常出现员工对差旅费用的使用不合理的现象，造成费用报销超标，增加了报销审核难度，严重影响了报销审核效率。同时，由于机票和酒店等预算的使用没有监督工具，无法有效进行量化，造成无法对企业差旅费用进行有效分析，导致企业在差旅费用的制定上缺乏有效规划，使得财务管理效率低下。
发明内容
本申请的主要目的在于提供一种差旅预算分析方法、预算分析装置、预算分析终端及计算机可读存储介质，旨在解决企业在差旅费用的制定上缺乏有效规划，导致无法对差旅计划中的各项费用进行有效监督，降低财务管分离效率的技术问题。
为实现上述目的，本申请实施例提供一种差旅预算分析方法，所述差旅预算分析方法包括：
获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合；
根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间；
获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值；
输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择。
本申请还提供一种预算分析装置，所述预算分析装置包括：
获取模块，用于获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合；
确定模块，用于根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间；
计算模块，用于获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值；
输出模块，用于输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择。
此外，为实现上述目的，本申请还提供一种预算分析终端，所述预算分析终端包括：存储器、处理器、通信总线以及存储在所述存储器上的差旅预算分析程序，其中所述差旅预算分析程序被所述处理器执行时，实现如上述的差旅预算分析方法的步骤。
此外，为实现上述目的，本申请还提供一种计算机可读存储介质，所述计算机可读存储介质存储有差旅预算分析程序，其中所述差旅预算分析程序被处理器执行时，实现如上述的差旅预算分析方法的步骤。
本申请获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合；根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间；获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值；输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择。本申请通过对接第三方系统，从第三方系统中获得预订事项的大致花费情况，并向员工推荐合适且实惠的出行方案，从而避免员工对企业成本的浪费，由于提前合理安排了差旅计划，有对应的出行方案，便可以控制企业的花费成本，为财务预算支出提供了良好的参照对象，使得财务审核有所依据。并且可以对差旅计划中的数据做进一步地分析，修正不必要的无效花费，提高差旅出行效率，方便财务报销审核，也便于员工出行。
附图说明
图1为本申请差旅预算分析方法第一实施例的流程示意图；
图2为图1中步骤S40的细化流程示意图；
图3为本申请预算分析装置的功能模块示意图；
图4为本申请实施例方法涉及的硬件运行环境的设备结构示意图。
本申请目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
本申请提供一种差旅预算分析方法，在差旅预算分析方法第一实施例中，参照图1，所述差旅预算分析方法包括：
步骤S10，获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合；
目前企业中，由于没有预先规划好差旅计划，经常出现员工对差旅费用使用不合理的现象，造成费用报销超标，增加了报销审核难度，严重影响了报销审核效率。同时，由于机票和酒店等预算的使用没有监督工具，无法有效进行量化，造成无法对企业差旅费用进行有效分析，导致企业在差旅费用的制定上缺乏有效规划，使得财务管理效率低下。
为解决这一问题，本实施例中，企业通过事先预设好差旅计划，利用线上预订的方式将预订事项进行妥善安排，从而避免出现差旅费用使用不合理的现象出现。
系统先获取到规划好的差旅计划，并从中解析出本次出差的行程位置，例如始发地、中转地、目的地。所述预订事项集合可以指机票，住宿，餐饮，出租，拜访礼品等等差旅过程中可能出现的消费事项，需要说明的是，预订事项集合可以是差旅计划中直接指定的，也可以是系统通过获取差旅计划中的关键字段来确定哪些预订事项集合需要预备。例如，根据行程位置，系统可确定是否需要在中转地、目的地上停留，这样就能够确定是否需要机票出行、酒店住宿等预订事项；也可以直接由差旅计划指定预订事项集合。系统可从预设的第三方预订系统中获取到可选资源集合。如预订事项集合中包括机票预订，那么系统将从接入的机票预订系统中获取当前从始发地中转地到目的地途中的所有机票航班信息，包括机票价格、优惠信息等等。而不同航班，不同时间对应的机票预订均为可选资源集合。
步骤S20，根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间；
差旅计划中预订事项集合的各项预订事项对有各自对应的预算额度，这是企业事先设定的费用警戒线，用于避免员工浪费差旅费用。各个预订事项均有对应的预设的预算额度，例如酒店预算是500元，机票预算2200元等等。通常，预算额度只作为参考，在这个区间的基础上还可以进行上下浮动，但企业需要考虑成本，因此会设置一个预设浮动范围，供员工在可控制范围内进行价格调整。例如，酒店预算额度为500元，而酒店预订事项的预设浮动范围为200元，也就是说，在预算500元的情况下，根据预设浮动范围可将目标价格区间调整为500-700元。即员工在酒店预订事项上可以有500-700元的预算。
步骤S30，获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值；
系统将获取价格区间处于目标价格区间内的所有差旅资源，并获取到各个差旅资源的消费价格，并计算该消费价格与预算额度之间的优惠差值。具体地，获取所有可选资源中处于目标价格区间的机票预订资源，而优惠差值根据机票价格和预算额度所省略的费用多少来确定的。比如预订事项为酒店预订，那么系统将对接到酒店预订系统，获取到酒店预订系统中处于目标价格区间内的可选资源，并获取符合条件的可选资源的酒店价格，由酒店价格和预算额度计算二者所节省的优惠差值。
例如，系统获取到可选资源中目标价格区间为500-700元的酒店资源，而酒店资源A为600元，酒店资源B为400元，预算额度为500元，酒店资源A处于预算额度范围内，可得到优惠差值为600-500=100元；而酒店资源B的价格超出了预算额度，可得到优惠差值为400-500=-100元。
需要说明的是，系统最终得到的预订资源并不会是最便宜的，而是在允许范围内最合理的。这就是预设浮动范围用以获得目标价格区间的意义。差旅资源的价格略微高于预算额度也可以被允许。系统得到预订资源与预算额度之间的差价，算下节省多少预算，即可得到优惠差值。其中，优惠差值可以是负数。
步骤S40，输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择。
在获取各差旅资源中优惠差值之后，系统将获取所有差旅资源中差异差值最小的预订资源，并只显示前预设个预订资源给该差旅计划的出差员工。例如，优惠差值有30元，20元和-20元。假设系统只显示前2个预订资源，那么将只显示优惠差值为20元和-20元的预订资源。该差旅计划的出差员工可根据实际情况，例如交通情况，住宿环境、治安安全等多方面进行选择。
参照图2，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择的步骤包括：
步骤S41，获取所述第三方系统中与各所述预订事项对应的可选资源的搭配优惠活动；
步骤S42，根据各搭配优惠活动定位所述可选资源集合中对应的可搭配资源组合，并根据各所述搭配优惠活动计算对应的所述可搭配资源组合的搭配优惠差值；
现实生活中，通过线上预订机票酒店等事项往往会有一定的搭配优惠，例如在预订A1机票的同时预订A2酒店，则可享用搭配优惠活动的优惠折扣。而有些预订资源是搭配优惠活动的活动对象，而有些预订资源则不是活动对象。因此系统需要从第三方系统中得到各种预订事项的预订资源的搭配优惠活动。
获取到第三方系统中当前的搭配优惠活动之后，可根据该活动中的活动对象定位到预订资源中的可搭配资源。所述可搭配资源即为活动对象。第三方系统中可能有多个活动，因为可搭配资源可包括多种。可搭配资源至少包括两种资源，如机票资源A1搭配酒店资源A2。搭配优惠活动是针对不同资源单独预订与组合预订所指定的价格优惠，因此系统可计算机票资源A1单独预订所需要的a1费用以及酒店资源A2单独预订所需要的a2费用，并计算获得总费用为a1+a2。同时系统可计算在搭配优惠活动下A1搭配A2所能享受的折扣，如享受8折优惠，则总费用为0.8*（a1+a2）。此时，采用搭配优惠活动的折扣可得到搭配优惠差值为Z=（a1+a2）-0.8*（a1+a2）=0.2（a1+a2）。当然，以上仅为举例。
步骤S43，输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，并输出所有所述可选资源中搭配优惠差值最小的前所述预设个数的可搭配资源组合，以供该差旅计划的出差员工选择。
系统在输出优惠差值最小的前预设个预订资源时，还可同时输出搭配优惠差值最小的前预设个可搭配资源，以便该差旅计划的出差员工最大程度地缩减预算开支。
本申请通过获取预设的差旅计划，并根据所述差旅计划中的所有预订事项，获取预设的第三方系统中对应的所有可选资源；根据差旅计划中各预订事项的预算额度和预设浮动范围确定目标价格区间；获取可选资源中处于目标价格区间内的所有差旅资源，并根据所有预订事项的预算额度和差旅资源的差旅价格进行差值计算，以获得该预订事项的优惠差值；输出各预订事项中所有差旅资源中优惠差值最小的前预设个数预订资源，以供该差旅计划的出差员工选择。本申请通过对接第三方系统，从第三方系统中获得预订事项的大致花费情况，并向员工推荐合适且实惠的出行方案，从而避免员工对企业成本的浪费，由于提前合理安排了差旅计划，有对应的出行方案，便可以控制企业的花费成本，为财务预算支出提供了良好的参照对象，使得财务审核有所依据。并且可以对差旅计划中的数据做进一步地分析，修正不必要的无效花费，提高差旅出行效率，方便财务报销审核，也便于员工出行。
进一步地，在本申请差旅预算分析方法第一实施例的基础上，提出本申请差旅预算分析方法第二实施例，与前述实施例的区别在于，所述输出所有所述可选资源中搭配优惠差值最小的前所述预设个数的可搭配资源组合，以供所述差旅计划的出差员工选择的步骤之后还包括：
步骤S50，当检测到基于所述差旅计划的预算扩充请示时，将所述预算扩充请示发送至预设审核邮箱；
在本实施例中，差旅计划各预订事项的预算额度为出差员工指定了详细的有关消费事项。但是在现实生活中，可能会出现突发事项，例如需要与客户到达另一地点进行实地考核，那么当中必定需要新的交通费用，住宿费用，伙食费用等等，而差旅计划中并未加入该突发计划的所有预算。因此，出差员工可基于差旅计划向系统提交预算扩充请示，请示中需包括请示理由，由系统将预算扩充请示发送至预设的审核邮箱，以供预设审核邮箱的管理人员对该预算扩充请示进行资格审核，以确定是否批准。
步骤S60，当接收到所述预设审核邮箱基于所述预算扩充请示的审核批准提示时，将各所述预订事项的预算额度按预订百分比进行扩充调整。
若系统接收到该预设审核邮箱基于预算扩充请示的审核批准提示，则证明预算扩充请示被批准，此时各预订事项的预算额度将在原有基础上进行扩充调整。扩充调整程度根据系统预先设置的预订百分比进行调整，通过地，预订百分比可设置在30%左右。也就是说，在获得审核批准提示后，预订事项的预算额度可在原有基础上增加30%的预算经费。当然，具体情况具体确定，预订百分比也可根据实际情况自定义设置。
进一步地，在本申请差旅预算分析方法第二实施例的基础上，提出本申请差旅预算分析方法第三实施例，与前述实施例的区别在于，所述差旅计划记录在历史数据库中作为历史差旅计划，
所述当接收到所述预设审核邮箱基于所述预算扩充请示的审核批准提示时，将各所述预订事项的预算额度按预订百分比进行扩充调整的步骤之后还包括：
步骤S70，获取第一预设时间内基于所述差旅计划进行预算扩充请示的请示频率；
所有差旅计划在完成之后，将被记录在历史数据库中作为历史差旅计划。系统将获取历史差旅计划中所有提交过预算扩充请示的差旅计划，并获取预算扩充请示的请示频率。所述请示频率代表所有历史差旅计划中总共申请了多少次预算扩充。
步骤S80，当检测到请示频率大于预设值时，获取各所述预算扩充请示中的各所述预定事项的扩充金额；
请示频率能从一定程度上反映企业制定的各预订事项的预算额度的合理程度。若是出差员工请示次数过多，说明企业设定的预算额度不合理，需要重新审核制定。系统设置了预设值作为请示频率的参考值，当检测到请示频率大于预设值时，说明原先的预算额度的范围制定得较小，或者跟不上物价上涨，需要进行进一步调整。此时，系统获取所有预算扩充请示当中的扩充金额。
步骤S90，根据各所述扩充金额计算对应的预定事项的扩充金额均值，并根据各所述扩充金额均值和对应的所述预设浮动范围进行计算，获得各所述预订事项的新的预设浮动范围。
扩充金额能够反映历史差旅计划中的资金缺口，因此系统可根据所有扩充金额计算扩充金额均值，以获得每次扩充预算的金额。由于预订事项有对应的预设浮动范围，那么系统将在预设浮动范围的基础上，将扩充金额均值的金额添加至预设浮动范围中，即将预设浮动范围的上限向上调整了扩充金额均值的范围。这样，系统即可得到新的预设浮动范围作为预订事项的参考浮动范围，从而将预订事项的预设浮动范围更新至一个合理的范围。
进一步地，在本申请差旅预算分析方法第三实施例的基础上，提出本申请差旅预算分析方法第四实施例，与前述实施例的区别在于，
所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择的步骤之后还包括：
步骤S100，获取第二预设时间内各所述预订事项的消费金额，并根据各所述消费金额计算对应的各所述预订事项的消费均值；
历史差旅计划中，预算额度也可进行调整。各预订事项的消费金额可能与预算额度不相匹配。此时，系统将获取历史差旅计划中各预订事项的消费金额，并根据所有消费金额计算各预订事项的消费均值。
步骤S110，分别统计所述第二预设时间内各所述预订事项的消费金额大于对应的消费均值的消费频率；
本实施例中，系统将统计所有消费金额中消费金额大于消费均值的消费频率。假设酒店的消费均值为500元，总消费次数为20，而超过500元消费的消费次数为10，那么消费频率即为10/20=50%。
步骤S120，当存在所述消费频率大于对应的预设频率的第一待调整预订事项时，将所述第一待调整预订事项的消费均值按预设百分比进行扩充调整，以获得所述待调整预订事项的新的预算额度。
系统设置了预设频率作为消费频率的参考门限值，例如预设频率为20%，当消费频率大于预设频率时，则说明当前的预算额度不足以作为参考。此时将以消费均值作为参考，以消费均值为基础，上下调整预设百分比进行计算，获得各预订事项新的预算额度。例如，本实施例中，消费频率为50%，大于预设频率20%，而预设百分比为20%，那么系统将在消费均值500元，在500元的基础上进行扩充调整即为500*（1+20%）=600元，因此，新的预算额度即为600元。
进一步地，在本申请差旅预算分析方法第四实施例的基础上，提出本申请差旅预算分析方法第五实施例，与前述实施例的区别在于，
所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供该差旅计划的出差员工选择的步骤之后还包括：
步骤a，获取第三预设时间内各所述预订事项的消费金额，并根据各所述消费金额计算对应的各所述预订事项的平均消费金额；
历史差旅计划中，预算额度也可进行调整。历史差旅计划中各个预订事项的消费金额作为新的预算额度的参考，系统通过计算所有消费金额的平均消费额。所述平均消费额能够代表各个预订事项的大致消费水平。
步骤b，当检测到存在所述平均消费金额大于对应的预算额度第一百分比的第二待调整预订事项时，根据所述平均消费金额上下浮动第二百分比进行计算，以确定所述第二待调整预订事项的新的预算额度。
所述第一百分比指的是系统设定允许的平均消费金额比预算额度大的百分比。当检测到平均消费金额大于预算额度第一百分比时，系统将对预算 区间进行调整，通过将平均消费金额上下浮动第二百分比，并基于平均消费金额计算上下浮动第二百分比之后的数值作为各预订事项的新的预算额度。例如平均消费额为500元，而预算额度为200-400元，第一百分比为20%，第二百分比为15%。那么根据计算，500比400大25%，而25%大于第一百分比20%，因此根据平均消费额调整预算额度。而平均消费额上下浮动15%分别是500*（1+15%）=575和500*（1-15%）=375。也就是说，预订事项的预算额度可由原来的200-400元转换为新的预算额度375-575元。
进一步地，在本申请差旅预算分析方法第六实施例的基础上，提出本申请差旅预算分析方法第七实施例，与前述实施例的区别在于，所述根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间的步骤包括：
步骤c，获取所述差旅计划中出差员工的员工级别，并获取与所述员工级别相互映射的预设浮动范围；
步骤d，根据所述预订事项集合中各所述预订事项的预算额度和预设浮动范围确定目标价格区间。
本实施例中，差旅计划对应的出差员工均有各自的员工级别，而不同的员工级别所能享用到的预设浮动范围也不一样。例如销售总监的员工级别较高，预设浮动范围也相对较高；而普通的业务员的员工级别较低，所能得到的预设浮动范围也相对较低。
也就是说，企业为不同员工级别设置了相对应的预设浮动范围。在系统中存储着员工级别-预设浮动范围的映射表。例如，出差员工若为销售总监，则住宿环境需为三星级酒店等较好的住宿酒店，出差员工若为普通业务员，则住宿环境可为快捷酒店等经济型酒店。而在预算额度之外，预设浮动范围需要根据出差员工的员工级别而确定。系统将获取与员工级别相互映射的预设浮动范围作参考，并根据差旅计划中各预订事项的预算额度以及预设浮动范围确定目标价格区间。
参照图3，本申请提供了一种预算分析装置，所述预算分析装置包括：
获取模块，用于获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合；
确定模块，用于根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间；
计算模块，用于获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值；
输出模块，用于输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择。
参照图4，图4是本申请实施例方法涉及的硬件运行环境的设备结构示意图。
本申请实施例终端可以是PC，也可以是智能手机、平板电脑、电子书阅读器、MP3（Moving Picture Experts Group Audio Layer III，动态影像专家压缩标准音频层面3）播放器、MP4（Moving Picture Experts Group Audio Layer IV，动态影像专家压缩标准音频层面4）播放器、便携计算机等终端设备。
如图4所示，该预算分析终端可以包括：处理器1001，例如CPU，存储器1005，通信总线1002。其中，通信总线1002用于实现处理器1001和存储器1005之间的连接通信。存储器1005可以是高速RAM存储器，也可以是稳定的存储器（non-volatile memory），例如磁盘存储器。存储器1005可选的还可以是独立于前述处理器1001的存储装置。
可选地，该预算分析终端还可以包括该差旅计划的出差员工接口、网络接口、摄像头、RF（Radio Frequency，射频）电路，传感器、音频电路、WiFi模块等等。该差旅计划的出差员工接口可以包括显示屏（Display）、输入单元比如键盘（Keyboard），可选该差旅计划的出差员工接口还可以包括标准的有线接口、无线接口。网络接口可选的可以包括标准的有线接口、无线接口（如WI-FI接口）。
本领域技术人员可以理解，图4中示出的预算分析终端结构并不构成对预算分析终端的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
如图4所示，作为一种计算机存储介质的存储器1005中可以包括操作系统、网络通信模块以及差旅预算分析程序。操作系统是管理和控制预算分析终端硬件和软件资源的程序，支持差旅预算分析程序以及其它软件和/或程序的运行。网络通信模块用于实现存储器1005内部各组件之间的通信，以及与预算分析终端中其它硬件和软件之间通信。
在图4所示的预算分析终端中，处理器1001用于执行存储器1005中存储的差旅预算分析程序，实现以下步骤：
获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合；
根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间；
获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值；
输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择。
进一步地，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择的步骤包括：
获取所述第三方系统中与各所述预订事项对应的可选资源的搭配优惠活动；
根据各搭配优惠活动定位所述可选资源集合中对应的可搭配资源组合，并根据各所述搭配优惠活动计算对应的所述可搭配资源组合的搭配优惠差值；
输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，并输出所有所述可选资源中搭配优惠差值最小的前所述预设个数的可搭配资源组合，以供该差旅计划的出差员工选择。
进一步地，所述输出所有所述可选资源中搭配优惠差值最小的前所述预设个数的可搭配资源组合，以供所述差旅计划的出差员工选择的步骤之后还包括：
当检测到基于所述差旅计划的预算扩充请示时，将所述预算扩充请示发送至预设审核邮箱；
当接收到所述预设审核邮箱基于所述预算扩充请示的审核批准提示时，将各所述预订事项的预算额度按预订百分比进行扩充调整。
进一步地，所述当接收到所述预设审核邮箱基于所述预算扩充请示的审核批准提示时，将各所述预订事项的预算额度按预订百分比进行扩充调整的步骤之后还包括：
获取第一预设时间内基于所述差旅计划进行预算扩充请示的请示频率；
当检测到请示频率大于预设值时，获取各所述预算扩充请示中的各所述预定事项的扩充金额；
根据各所述扩充金额计算对应的预定事项的扩充金额均值，并根据各所述扩充金额均值和对应的所述预设浮动范围进行计算，获得各所述预订事项的新的预设浮动范围。
进一步地，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择的步骤之后还包括：
获取第二预设时间内各所述预订事项的消费金额，并根据各所述消费金额计算对应的各所述预订事项的消费均值；
分别统计所述第二预设时间内各所述预订事项的消费金额大于对应的消费均值的消费频率；
当存在所述消费频率大于对应的预设频率的第一待调整预订事项时，将所述第一待调整预订事项的消费均值按预设百分比进行扩充调整，以获得所述待调整预订事项的新的预算额度。
进一步地，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供该差旅计划的出差员工选择的步骤之后还包括：
获取第三预设时间内各所述预订事项的消费金额，并根据各所述消费金额计算对应的各所述预订事项的平均消费金额；
当检测到存在所述平均消费金额大于对应的预算额度第一百分比的第二待调整预订事项时，根据所述平均消费金额上下浮动第二百分比进行计算，以确定所述第二待调整预订事项的新的预算额度。
进一步地，所述根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间的步骤包括：
获取所述差旅计划中出差员工的员工级别，并获取与所述员工级别相互映射的预设浮动范围；
根据所述预订事项集合中各所述预订事项的预算额度和预设浮动范围确定目标价格区间。
本申请预算分析终端的具体实施方式与上述差旅预算分析方法各实施例基本相同，在此不再赘述。
本申请还提供了一种计算机可读存储介质，所述计算机可读存储介质存储有一个或者一个以上程序，所述一个或者一个以上程序还可被一个或者一个以上的处理器执行以用于：
获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合；
根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间；
获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值；
输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择。
本申请计算机可读存储介质具体实施方式与上述差旅预算分析方法各实施例基本相同，在此不再赘述。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。
上述本申请实施例序号仅仅为了描述，不代表实施例的优劣。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质（如ROM/RAM、磁碟、光盘）中，包括若干指令用以使得一台终端设备（可以是手机，计算机，服务器，空调器，或者网络设备等）执行本申请各个实施例所述的方法。
以上仅为本申请的优选实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。

Claims (20)

  1. 一种差旅预算分析方法，其特征在于，所述差旅预算分析方法包括：
    获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合；
    根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间；
    获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值；
    输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择。
  2. 如权利要求1所述的差旅预算分析方法，其特征在于，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择的步骤包括：
    获取所述第三方系统中与各所述预订事项对应的可选资源的搭配优惠活动；
    根据各搭配优惠活动定位所述可选资源集合中对应的可搭配资源组合，并根据各所述搭配优惠活动计算对应的所述可搭配资源组合的搭配优惠差值；
    输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，并输出所有所述可选资源中搭配优惠差值最小的前所述预设个数的可搭配资源组合，以供该差旅计划的出差员工选择。
  3. 如权利要求2所述的差旅预算分析方法，其特征在于，所述输出所有所述可选资源中搭配优惠差值最小的前所述预设个数的可搭配资源组合，以供所述差旅计划的出差员工选择的步骤之后还包括：
    当检测到基于所述差旅计划的预算扩充请示时，将所述预算扩充请示发送至预设审核邮箱；
    当接收到所述预设审核邮箱基于所述预算扩充请示的审核批准提示时，将各所述预订事项的预算额度按预订百分比进行扩充调整。
  4. 如权利要求3所述的差旅预算分析方法，其特征在于，所述当接收到所述预设审核邮箱基于所述预算扩充请示的审核批准提示时，将各所述预订事项的预算额度按预订百分比进行扩充调整的步骤之后还包括：
    获取第一预设时间内基于所述差旅计划进行预算扩充请示的请示频率；
    当检测到请示频率大于预设值时，获取各所述预算扩充请示中的各所述预定事项的扩充金额；
    根据各所述扩充金额计算对应的预定事项的扩充金额均值，并根据各所述扩充金额均值和对应的所述预设浮动范围进行计算，获得各所述预订事项的新的预设浮动范围。
  5. 如权利要求3所述的差旅预算分析方法，其特征在于，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择的步骤之后还包括：
    获取第二预设时间内各所述预订事项的消费金额，并根据各所述消费金额计算对应的各所述预订事项的消费均值；
    分别统计所述第二预设时间内各所述预订事项的消费金额大于对应的消费均值的消费频率；
    当存在所述消费频率大于对应的预设频率的第一待调整预订事项时，将所述第一待调整预订事项的消费均值按预设百分比进行扩充调整，以获得所述待调整预订事项的新的预算额度。
  6. 如权利要求4所述的差旅预算分析方法，其特征在于，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供该差旅计划的出差员工选择的步骤之后还包括：
    获取第三预设时间内各所述预订事项的消费金额，并根据各所述消费金额计算对应的各所述预订事项的平均消费金额；
    当检测到存在所述平均消费金额大于对应的预算额度第一百分比的第二待调整预订事项时，根据所述平均消费金额上下浮动第二百分比进行计算，以确定所述第二待调整预订事项的新的预算额度。
  7. 如权利要求1所述的差旅预算分析方法，其特征在于，所述根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间的步骤包括：
    获取所述差旅计划中出差员工的员工级别，并获取与所述员工级别相互映射的预设浮动范围；
    根据所述预订事项集合中各所述预订事项的预算额度和预设浮动范围确定目标价格区间。
  8. 一种预算分析装置，其特征在于，所述预算分析装置包括：
    获取模块，用于获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合；
    确定模块，用于根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间；
    计算模块，用于获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值；
    输出模块，用于输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择。
  9. 一种预算分析终端，其特征在于，所述预算分析终端包括：存储器、处理器、通信总线以及存储在所述存储器上的差旅预算分析程序，所述处理器用于执行所述差旅预算分析程序，以实现以下步骤：
    获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合；
    根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间；
    获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值；
    输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择。
  10. 如权利要求9所述的差旅预算分析终端，其特征在于，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择的步骤包括：
    获取所述第三方系统中与各所述预订事项对应的可选资源的搭配优惠活动；
    根据各搭配优惠活动定位所述可选资源集合中对应的可搭配资源组合，并根据各所述搭配优惠活动计算对应的所述可搭配资源组合的搭配优惠差值；
    输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，并输出所有所述可选资源中搭配优惠差值最小的前所述预设个数的可搭配资源组合，以供该差旅计划的出差员工选择。
  11. 如权利要求10所述的差旅预算分析终端，其特征在于，所述输出所有所述可选资源中搭配优惠差值最小的前所述预设个数的可搭配资源组合，以供所述差旅计划的出差员工选择的步骤之后还包括：
    当检测到基于所述差旅计划的预算扩充请示时，将所述预算扩充请示发送至预设审核邮箱；
    当接收到所述预设审核邮箱基于所述预算扩充请示的审核批准提示时，将各所述预订事项的预算额度按预订百分比进行扩充调整。
  12. 如权利要求11所述的差旅预算分析终端，其特征在于，所述当接收到所述预设审核邮箱基于所述预算扩充请示的审核批准提示时，将各所述预订事项的预算额度按预订百分比进行扩充调整的步骤之后还包括：
    获取第一预设时间内基于所述差旅计划进行预算扩充请示的请示频率；
    当检测到请示频率大于预设值时，获取各所述预算扩充请示中的各所述预定事项的扩充金额；
    根据各所述扩充金额计算对应的预定事项的扩充金额均值，并根据各所述扩充金额均值和对应的所述预设浮动范围进行计算，获得各所述预订事项的新的预设浮动范围。
  13. 如权利要求11所述的差旅预算分析终端，其特征在于，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择的步骤之后还包括：
    获取第二预设时间内各所述预订事项的消费金额，并根据各所述消费金额计算对应的各所述预订事项的消费均值；
    分别统计所述第二预设时间内各所述预订事项的消费金额大于对应的消费均值的消费频率；
    当存在所述消费频率大于对应的预设频率的第一待调整预订事项时，将所述第一待调整预订事项的消费均值按预设百分比进行扩充调整，以获得所述待调整预订事项的新的预算额度。
  14. 如权利要求12所述的差旅预算分析终端，其特征在于，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供该差旅计划的出差员工选择的步骤之后还包括：
    获取第三预设时间内各所述预订事项的消费金额，并根据各所述消费金额计算对应的各所述预订事项的平均消费金额；
    当检测到存在所述平均消费金额大于对应的预算额度第一百分比的第二待调整预订事项时，根据所述平均消费金额上下浮动第二百分比进行计算，以确定所述第二待调整预订事项的新的预算额度。
  15. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质上存储有差旅预算分析程序，所述差旅预算分析程序被处理器执行时实现如下步骤：
    获取预设的差旅计划，并根据所述差旅计划中的预订事项集合，获取预设的第三方系统中对应的可选资源集合；
    根据所述预订事项集合中的各预订事项的预算额度和预设浮动范围确定各所述预订事项的目标价格区间；
    获取所述可选资源集合中处于对应各所述预订事项的所述目标价格区间内的差旅资源，并根据各所述预订事项的预算额度和对应的所述差旅资源的差旅价格进行差值计算，以获得各所述预订事项的优惠差值；
    输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择。
  16. 如权利要求15所述的计算机可读存储介质，其特征在于，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择的步骤包括：
    获取所述第三方系统中与各所述预订事项对应的可选资源的搭配优惠活动；
    根据各搭配优惠活动定位所述可选资源集合中对应的可搭配资源组合，并根据各所述搭配优惠活动计算对应的所述可搭配资源组合的搭配优惠差值；
    输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，并输出所有所述可选资源中搭配优惠差值最小的前所述预设个数的可搭配资源组合，以供该差旅计划的出差员工选择。
  17. 如权利要求16所述的差旅预算分析方法，其特征在于，所述输出所有所述可选资源中搭配优惠差值最小的前所述预设个数的可搭配资源组合，以供所述差旅计划的出差员工选择的步骤之后还包括：
    当检测到基于所述差旅计划的预算扩充请示时，将所述预算扩充请示发送至预设审核邮箱；
    当接收到所述预设审核邮箱基于所述预算扩充请示的审核批准提示时，将各所述预订事项的预算额度按预订百分比进行扩充调整。
  18. 如权利要求17所述的差旅预算分析方法，其特征在于，所述当接收到所述预设审核邮箱基于所述预算扩充请示的审核批准提示时，将各所述预订事项的预算额度按预订百分比进行扩充调整的步骤之后还包括：
    获取第一预设时间内基于所述差旅计划进行预算扩充请示的请示频率；
    当检测到请示频率大于预设值时，获取各所述预算扩充请示中的各所述预定事项的扩充金额；
    根据各所述扩充金额计算对应的预定事项的扩充金额均值，并根据各所述扩充金额均值和对应的所述预设浮动范围进行计算，获得各所述预订事项的新的预设浮动范围。
  19. 如权利要求17所述的差旅预算分析方法，其特征在于，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供所述差旅计划的出差员工选择的步骤之后还包括：
    获取第二预设时间内各所述预订事项的消费金额，并根据各所述消费金额计算对应的各所述预订事项的消费均值；
    分别统计所述第二预设时间内各所述预订事项的消费金额大于对应的消费均值的消费频率；
    当存在所述消费频率大于对应的预设频率的第一待调整预订事项时，将所述第一待调整预订事项的消费均值按预设百分比进行扩充调整，以获得所述待调整预订事项的新的预算额度。
  20. 如权利要求19所述的差旅预算分析方法，其特征在于，所述输出与各所述预订事项对应的所述差旅资源中优惠差值最小的前预设个数的目标差旅资源，以供该差旅计划的出差员工选择的步骤之后还包括：
    获取第三预设时间内各所述预订事项的消费金额，并根据各所述消费金额计算对应的各所述预订事项的平均消费金额；
    当检测到存在所述平均消费金额大于对应的预算额度第一百分比的第二待调整预订事项时，根据所述平均消费金额上下浮动第二百分比进行计算，以确定所述第二待调整预订事项的新的预算额度。
PCT/CN2018/102058 2018-07-03 2018-08-24 差旅预算分析方法、预算分析装置、终端及可读存储介质 Ceased WO2020006838A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201810733668.5 2018-07-03
CN201810733668.5A CN109727104A (zh) 2018-07-03 2018-07-03 差旅预算分析方法、预算分析装置、终端及可读存储介质

Publications (1)

Publication Number Publication Date
WO2020006838A1 true WO2020006838A1 (zh) 2020-01-09

Family

ID=66293840

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/102058 Ceased WO2020006838A1 (zh) 2018-07-03 2018-08-24 差旅预算分析方法、预算分析装置、终端及可读存储介质

Country Status (2)

Country Link
CN (1) CN109727104A (zh)
WO (1) WO2020006838A1 (zh)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111539689A (zh) * 2020-04-27 2020-08-14 携程商旅信息服务（上海）有限公司 出差申请单自动生成方法、系统、设备及存储介质
CN111598538A (zh) * 2020-05-13 2020-08-28 携程商旅信息服务（上海）有限公司 超标差旅订单的支付方法、系统、设备及存储介质
CN112182372A (zh) * 2020-09-24 2021-01-05 国网商旅云技术有限公司 一种差旅产品推荐方法及装置
CN114219534A (zh) * 2021-12-16 2022-03-22 飞友科技有限公司 一种具有奖励机制的酒店预定的方法、系统及装置
CN116258217A (zh) * 2023-01-12 2023-06-13 携程商旅信息服务（上海）有限公司 商旅用车方法、装置、电子设备、存储介质
CN119443630A (zh) * 2024-10-28 2025-02-14 中粮阳光企业管理(北京)有限公司 基于人员调用事件的充值账户分配方法、装置及电子设备

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101887540A (zh) * 2009-05-13 2010-11-17 王磊 一种提高企业财务竞争力的方法
CN102542417A (zh) * 2011-12-31 2012-07-04 深圳中兴网信科技有限公司 一种一站式的差旅活动管理方法和系统
CN103824159A (zh) * 2014-02-25 2014-05-28 北京农业信息技术研究中心 科研项目经费预算执行智能提醒系统
CN106934586A (zh) * 2015-12-31 2017-07-07 远光软件股份有限公司 报销单据辅助审批的方法及装置
CN107423833A (zh) * 2017-07-31 2017-12-01 北京会唐世纪科技有限公司 一种差旅行程安排推荐方法
CN108053306A (zh) * 2017-12-04 2018-05-18 深圳春沐源控股有限公司 财务数据预测管理方法、系统、终端及存储介质

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108074067A (zh) * 2016-11-14 2018-05-25 北京京东尚科信息技术有限公司 差旅服务信息管理平台

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101887540A (zh) * 2009-05-13 2010-11-17 王磊 一种提高企业财务竞争力的方法
CN102542417A (zh) * 2011-12-31 2012-07-04 深圳中兴网信科技有限公司 一种一站式的差旅活动管理方法和系统
CN103824159A (zh) * 2014-02-25 2014-05-28 北京农业信息技术研究中心 科研项目经费预算执行智能提醒系统
CN106934586A (zh) * 2015-12-31 2017-07-07 远光软件股份有限公司 报销单据辅助审批的方法及装置
CN107423833A (zh) * 2017-07-31 2017-12-01 北京会唐世纪科技有限公司 一种差旅行程安排推荐方法
CN108053306A (zh) * 2017-12-04 2018-05-18 深圳春沐源控股有限公司 财务数据预测管理方法、系统、终端及存储介质

Also Published As

Publication number Publication date
CN109727104A (zh) 2019-05-07

Similar Documents

Publication Publication Date Title
WO2020006838A1 (zh) 差旅预算分析方法、预算分析装置、终端及可读存储介质
WO2019061611A1 (zh) 营销活动的管理方法、装置、设备及计算机存储介质
WO2019061613A1 (zh) 贷款资质筛选方法、装置及计算机可读存储介质
WO2018107610A1 (zh) 业务数据处理方法、系统、设备及计算机可读存储介质
WO2018233301A1 (zh) 产品推荐方法、装置、设备以及计算机可读存储介质
WO2018166314A1 (zh) 额度审批方法、装置、设备以及计算机可读存储介质
WO2019109521A1 (zh) 视频面签身份审核方法、装置、设备及可读存储介质
WO2019037396A1 (zh) 账户清结算方法、装置、设备及存储介质
WO2018205544A1 (zh) 软件项目管理方法、装置、终端及计算机存储介质
WO2019100638A1 (zh) 数据同步方法、装置、设备及存储介质
WO2019119618A1 (zh) 健康险产品投保方法、装置、设备及可读存储介质
WO2018233351A1 (zh) 自助理赔方法、装置、服务器和计算机可读存储介质
WO2020116985A1 (ko) 이커머스 플랫폼 평가 시스템 및 방법
WO2019037454A1 (zh) 保费缴纳方法、装置、设备及可读存储介质
WO2018120430A1 (zh) 一种页面构建方法、终端、计算机可读存储介质及页面构建设备
WO2019104877A1 (zh) 通过网站对接购买保险的方法、装置、设备及介质
WO2019090984A1 (zh) 一种保单责任明细的核对方法和装置
WO2019062199A1 (zh) 用电计费方式的推荐方法、装置及存储介质
WO2019024219A1 (zh) 文档自动生成方法、装置、文档自动生成器及介质
WO2019218435A1 (zh) 共享单车的投放方法、装置、设备及计算机可读存储介质
WO2014035178A1 (en) System for and method of providing service related to object
WO2024010137A1 (en) Method and system for automatic establishment of optimal schedule for construction project
WO2018036158A1 (zh) 保险费用支付方法、装置、设备及计算机可读存储介质
WO2018201699A1 (zh) 客户评价方法、装置、设备以及计算机可读存储介质
WO2018036151A1 (zh) 保单处理方法、装置、设备以及计算机可读存储介质

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18925583

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18925583

Country of ref document: EP

Kind code of ref document: A1