Method for determining corporate travel budget and computer program product

Abstract

One or more embodiments of this specification provide a method for determining a corporate travel budget and a computer program product. The method is applied to a travel service platform, and the method may include: obtaining the average historical travel expenses of the target enterprise in the target travel service area; determining the industry travel expense change rate of the industry to which the target enterprise belongs in the target travel service area, and determining the travel service price change rate of the target travel service area; correcting the average historical travel expenses according to the industry travel expense change rate and the travel service price change rate of the target travel service area to obtain the predicted average travel expenses of the target enterprise in the target travel service area; determining the travel budget of the target enterprise according to the predicted average travel expenses of the target enterprise in the target travel service area and the estimated travel scale of the target enterprise in the target period.

Description

Technical Field

[0001] One or more embodiments of this specification relate to the field of Internet technologies, and in particular, to a method for determining a corporate travel budget and a computer program product. Background Art

[0002] The corporate travel expenses are an important part of the overall operating costs. Therefore, formulating a reasonable travel budget is a key link in corporate financial management. In the related technologies, enterprises usually refer to the price change trends provided by travel service platforms in various travel service fields (such as hotel accommodation, air travel, railway transportation, etc.) to predict the travel budget. However, relying solely on the average price change rate in the travel service fields to predict the corporate travel budget often fails to accurately reflect the actual situation and specific needs of the enterprise itself, resulting in an inaccurate predicted corporate travel budget. Summary of the Invention

[0003] In view of this, one or more embodiments of this specification provide the following technical solutions:

[0004] According to a first aspect of one or more embodiments of this specification, a method for determining a corporate travel budget is proposed, which is applied to a travel service platform and includes:

[0005] Obtaining the average historical travel expenses of the target enterprise in the target travel service field;

[0006] Determining the industry travel expense change rate of the industry to which the target enterprise belongs in the target travel service field, and determining the travel service price change rate of the target travel service field;

[0007] According to the industry travel expense change rate and the travel service price change rate of the target travel service field, correcting the average historical travel expenses to obtain the predicted average travel expenses of the target enterprise in the target travel service field;

[0008] Determining the travel budget of the target enterprise according to the predicted average travel expenses of the target enterprise in the target travel service field and the estimated travel scale of the target enterprise in the target period.

[0009] According to a second aspect of one or more embodiments of this specification, a computer program product is proposed, including a computer program / instructions, which when executed by a processor, implement the steps of the method as described in the first aspect.

[0010] As can be seen from the above embodiments, this specification determines the change rate of business travel service prices in the target business travel service field and the change rate of industry business travel expenses of the target enterprise in the target business travel service field. Based on the change rate of business travel service prices and the change rate of industry business travel expenses, the historical average business travel expenses of the target enterprise are corrected to obtain the predicted average business travel expenses of the target enterprise in the target business travel service field. Furthermore, based on the estimated business travel scale of the target enterprise within the target period and the predicted average business travel expenses, the business travel budget of the target enterprise is determined.

[0011] Since the aforementioned change rate of industry business travel expenses reflects the actual spending level and trend of the industry to which the target enterprise belongs in the target business travel service field, and enterprises within the same industry have similarities in business travel spending, therefore, correcting the historical average business travel expenses of the target enterprise based on the change rate of industry business travel expenses and the change rate of business travel service prices takes into account both the industry business travel characteristics of the industry to which the target enterprise belongs and the market price fluctuations in the target business travel service field. Determining the business travel budget of the target enterprise based on this can make the business travel budget of the target enterprise better reflect the industry characteristics of the industry to which the target enterprise belongs and be more in line with the actual situation of the target enterprise, effectively improving the accuracy of the predicted business travel budget of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 is a schematic diagram of the system architecture relied on by a business travel service platform provided by an exemplary embodiment.

[0013] Figure 2 is a schematic diagram of predicting the business travel budget of an enterprise in a related technology provided by an exemplary embodiment.

[0014] Figure 3 is a flowchart of a method for determining an enterprise's business travel budget provided by an exemplary embodiment.

[0015] Figure 4a is a schematic diagram of a display page of an alternative dimension provided by an exemplary embodiment.

[0016] Figure 4b is a schematic diagram of a business travel scale prediction configuration page provided by an exemplary embodiment.

[0017] Figure 5 is a schematic diagram of comparing and displaying the historical business travel data of a target enterprise with the historical industry business travel data of the industry to which it belongs provided by an exemplary embodiment.

[0018] Figure 6 is a schematic diagram of a business travel budget adjustment suggestion provided by an exemplary embodiment.

[0019] Figure 7It is a schematic structural diagram of a device provided by an exemplary embodiment.

[0020] Figure 8 It is a block diagram of a device for determining an enterprise travel budget provided by an exemplary embodiment. Detailed implementation manners

[0021] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this specification are all information and data authorized by the user or fully authorized by all parties. And the collection, use, and processing of relevant data need to comply with the relevant laws, regulations, and standards of relevant countries and regions, and corresponding operation entrances are provided for users to choose to authorize or refuse.

[0022] Figure 1 It is a schematic diagram of a system architecture relied on by a travel service platform provided by an exemplary embodiment. As Figure 1 shown, the system architecture may include a server 11, a network 12, and several electronic devices, such as a PC (Personal Computer) 13, a mobile phone 14, etc.

[0023] The server 11 may be a physical server including an independent host, or the server 11 may be a virtual server hosted by a host cluster. During operation, the server 11 may run the server-side program of the travel service platform to implement the server side of the travel service platform.

[0024] The PC 13 and the mobile phone 14 are only some types of electronic devices that users can use. In fact, users can obviously also use electronic devices of the following types: tablet devices, laptop computers, personal digital assistants (PDAs), wearable devices (such as smart glasses, smart watches, etc.). One or more embodiments of this specification do not limit this. During operation, the electronic device may run the client-side program of the travel service platform to implement the client of the travel service platform. Among them, the application program of the client of the above travel service platform can be started and run on the electronic device. The client-side program may be a native application program installed on the electronic device, or the client-side program may be a mini program, a quick application, or other similar forms. Of course, when using web technologies such as HTML5 or similar, relevant functions can be implemented through the page displayed by the browser. Here, the browser may be an independent browser application or a browser module embedded in some applications.

[0025] For the network 12 for interaction between electronic devices such as the PC 13 and the mobile phone 14 and the server 11, communication can be specifically implemented using a wired or wireless network based on the communication methods supported by the corresponding electronic devices. This specification does not limit this. For example, if the PC 13 supports both wired and wireless communication, then wired or wireless network can be used for communication according to needs, while the mobile phone 14 usually only supports wireless communication, so wireless network can be used for communication.

[0026] The above business travel service platform focuses on serving enterprises and their employees, aiming to simplify and optimize the processes of business travel planning, booking, management, and reimbursement. The business travel service platform can usually provide users with functions such as business travel service booking, business travel data analysis, trend prediction, process approval, etc.

[0027] In the related art, enterprises usually refer to the price change trends provided by the business travel service platform in various business travel service fields (such as hotel accommodation, air travel, railway transportation, etc.) to predict business travel budgets. Please refer to Figure 2 , Figure 2 is a schematic diagram of predicting an enterprise's business travel budget in a related art provided by an exemplary embodiment. Figure 2 Shows the business travel expenses of enterprise A for each month from January to July 2023. Among them, the business travel expenses include air ticket expenses and hotel accommodation expenses. Users can click on the average air ticket price prediction control or the average hotel accommodation price prediction control to display the corresponding change trend chart. Figure 2 shows the actual change trend of the average air ticket price from January to July 2023, and the predicted change trend of the average air ticket price from August to November 2023. In the related art, usually, based on the actual change trend and the predicted change trend of the average hotel accommodation price, combined with the hotel accommodation expenses from January to July, the hotel accommodation budget for August to November in the future is predicted. Similarly, the air ticket budget for August to November in the future is predicted. Adding up the budgets for each business travel service field can predict the business travel budget of the enterprise for August to November in the future.

[0028] However, this method only relies on the average price change rate in the business travel service field to predict the enterprise's business travel budget, and often cannot accurately reflect the actual situation and specific needs of the enterprise itself, resulting in an inaccurate predicted business travel budget for the enterprise. In view of this, this specification proposes a method for determining an enterprise's business travel budget, which can predict a business travel budget that is more in line with the actual situation of the enterprise and is accurate.

[0029] Next, the technical solutions of this specification will be described in detail in conjunction with Figure 3 ,

[0030] Figure 3It is a flowchart of a method for determining an enterprise business travel budget provided by an exemplary embodiment. This method is applied to a business travel service platform. As Figure 3 shown, the method may include the following steps:

[0031] Step 302, obtain the average historical business travel expenses of the target enterprise in the target business travel service area.

[0032] The target enterprise can be any enterprise, and this specification does not make special limitations on the industry, city, etc. involved in the target enterprise. The business travel service area may include, but is not limited to: hotel service area, air ticket service area, train service area, car rental service area. Exemplarily, the staff of the target enterprise can upload historical business travel data (such as historical business travel expense data, historical business travel number, etc.) through the client of the business travel service platform. The server of the business travel service platform can store the historical business travel data of the target enterprise. In the process of implementing the solution of this specification, the average historical business travel expenses of the target enterprise in the target business travel service area can be obtained from the stored historical business travel expense data. It should be noted that the average historical business travel expenses refer to the average business travel expenses of the target enterprise within a historical time period, and this historical time period can be determined by the user according to actual needs. For example, the historical time period can be the past year or the past 3 months.

[0033] Exemplarily, the user can input the enterprise identifier (such as enterprise name, enterprise code, etc.) of the target enterprise and the historical time period on the business travel budget page displayed by the client of the business travel service platform. The business travel service platform can search for the historical business travel expense data of the target enterprise within this historical time period from the stored data, and then calculate the corresponding average historical business travel expenses based on the found historical business travel expense data.

[0034] Step 304, determine the change rate of industry business travel expenses of the industry to which the target enterprise belongs in the target business travel service area, and determine the change rate of business travel service prices in the target business travel service area.

[0035] It should be noted that this specification does not particularly limit the execution order of steps 302 and 304. The industry to which the target enterprise belongs can be determined based on the main business activities, product or service types of the target enterprise. Alternatively, the industry to which the target enterprise belongs can be determined according to the national standard industry classification (such as GB / T 4754, the national standard industry classification of China). The industry travel expense change rate of any industry aims to reflect the fluctuations in travel expenses caused by public factors such as the off-peak and peak seasons of tourism travel and holidays. Exemplarily, in order to evaluate the industry travel expense change rate of the target enterprise's industry in the target travel service field, the travel expenses of the target enterprise in the target travel service field in the most recent year can be compared and analyzed with the travel expenses of the previous year. It can be understood that the industry travel expense change rate often reflects the specific industry characteristics of each industry. For example, the audit industry has a higher frequency of business trips and a larger number of business travelers, while the education industry has a lower frequency of business trips and a smaller number of business travelers. Therefore, the industry travel expense change rates of these two industries will show different characteristics.

[0036] The change rate of the travel service price in the target travel service field can be obtained through the CPI (Consumer Price Index) regularly released by the government. When the target travel service field is the air ticket service field, the change rate of the travel service price refers to the change rate of the air ticket price; when the target travel service field is the hotel service field, the change rate of the travel service price refers to the change rate of the hotel accommodation price; when the target travel service field is the train service field, the change rate of the travel service price refers to the change rate of the train fare; when the target travel service field is the car rental service field, the change rate of the travel service price refers to the change rate of the unit price per mileage of the car rental.

[0037] In one embodiment, the target travel service field includes at least two categories. The target travel service field can be divided into at least two categories according to different classification dimensions. For example, for the hotel service field, it can be classified according to hotel star ratings, resulting in five categories: one-star, two-star, three-star, four-star, and five-star. Or it can be classified according to cities, with one city corresponding to one category, thus determining multiple categories. For the air ticket service field, it can be classified according to cabin classes, with one cabin class corresponding to one category, resulting in multiple categories. Or it can be classified according to airlines, with one airline corresponding to one category, resulting in multiple categories. For the train service field, it can be classified according to seat types, resulting in three categories: hard sleeper, soft sleeper, and hard seat. For the car rental service field, it can be classified according to the suppliers of the car rental service, resulting in multiple categories. The above are only examples, and this specification does not specifically limit the categories of the target travel service field.

[0038] In the process of determining the industry business travel expense change rate of the target enterprise's affiliated industry in the target business travel service field, the single-category industry business travel expense change rate corresponding to each category in the target business travel service field of the target enterprise's affiliated industry can be determined. For example, taking the target business travel service field as the hotel service field, when the hotel service field includes five categories from one-star to five-star, the single-category industry business travel expense change rate can include: the industry business travel expense change rate of the target enterprise's affiliated industry in one-star hotels, the industry business travel expense change rate in two-star hotels, the industry business travel expense change rate in three-star hotels, the industry business travel expense change rate in four-star hotels, and the industry business travel expense change rate in five-star hotels.

[0039] Similarly, in the process of determining the business travel service price change rate of the target business travel service field, the single-category business travel service price change rate corresponding to each category in the target business travel service field can be determined. For example, still taking the target business travel service field as the hotel service field, when the hotel service field includes five categories from one-star to five-star, the business travel service price change rate of one-star hotels, the business travel service price change rate of two-star hotels, the business travel service price change rate of three-star hotels, the business travel service price change rate of four-star hotels, and the business travel service price change rate of five-star hotels can be determined.

[0040] In this embodiment, dividing the industry business travel expense change rate and the business travel service price change rate corresponding to the target business travel service field into the single-category industry business travel expense change rate and the single-category business travel service price change rate corresponding to each category realizes understanding the industry business travel characteristics and the change characteristics of business travel service prices of each category at a finer granularity. On this basis, subsequently, the historical average business travel expenses of the target enterprise can be corrected according to the single-category industry business travel expense change rate and the single-category business travel service price change rate corresponding to each category to obtain the predicted average business travel expenses corresponding to each category, and then the business travel budget of the target enterprise under each category can be predicted. By providing the user with the business travel budget of each category, the fineness and accuracy of the business travel budget are significantly improved, which helps the user to more carefully control the business travel budget.

[0041] In one embodiment, the alternative dimensions for dividing the categories of the target business travel service field may include but are not limited to: business travel destination, business travel departure place, service level, and supplier. Among them, the service level can be understood as the level of services that the target business travel service field can provide. Please refer to Table 1. Table 1 is a schematic table of the service levels of various business travel service fields provided by an exemplary embodiment.

[0042] Table 1

[0043]

[0044] Any one of the above alternative dimensions or a combination of multiple alternative dimensions can be determined as the classification dimension for each category in the target business travel service area. Exemplarily, please refer to Figure 4a , Figure 4a which is a schematic diagram of a display page of an alternative dimension provided by an exemplary embodiment. Each alternative dimension can be displayed to the user on the client side of the business travel service platform. The user can select from the displayed alternative dimensions, and the client determines at least one selected alternative dimension by the user as the classification dimension in response to the user's selection operation. For example, in combination with Figure 4a , the target business travel service area is the hotel service area. In response to the user's triggering operation on the drop-down control of the service level, multiple service levels involved in the hotel service area are displayed. Further, in response to the user's selection operation on any one of the multiple service levels, the selected service level is determined as the classification dimension.

[0045] Step 306, according to the industry business travel expense change rate and the business travel service price change rate in the target business travel service area, correct the historical average business travel expense to obtain the predicted average business travel expense of the target enterprise in the target business travel service area.

[0046] Exemplarily, the principle of correcting the historical average business travel expense can be referred to formula (1):

[0047] (1)

[0048] In formula (1), represents the predicted average business travel expense, represents the historical average business travel expense, represents the industry business travel expense change rate, represents the business travel service price change rate.

[0049] In one embodiment, when determining the single-category industry business travel expense change rate corresponding to each category in the target business travel service area for the industry to which the target enterprise belongs, and the single-category business travel service price change rate corresponding to each category in the target business travel service area, the single-category historical average business travel expense corresponding to each category of the target enterprise can be determined. Further, according to the single-category industry business travel expense change rate and the single-category business travel service price change rate corresponding to each category, the corresponding single-category historical average business travel expense is corrected to obtain the predicted average business travel expense corresponding to each category. The principle of this correction process can be referred to the following formula (2):

[0050] (2)

[0051] In formula (2), represents the predicted average business travel expense corresponding to the nth category, Characterize the average historical business travel expense corresponding to the nth category. Characterize the change rate of the single-category industry business travel expense corresponding to the nth category. Characterize the change rate of the single-category business travel service price corresponding to the nth category. In this way, the predicted average business travel expenses of the target enterprise in each category can be obtained, further refining the granularity of the predicted average expenses, which helps to improve the diversity and accuracy of the predicted average business travel expenses.

[0052] In one embodiment, considering that the target enterprise spends different business travel expenses on each category in the target business travel service field. For example, enterprise A spends different business travel expenses on one-star hotels and five-star hotels. Therefore, when correcting the average historical business travel expenses of the target enterprise, the preference weights corresponding to each category in the target business travel service field of the target enterprise can be obtained first. The preference weights correspond to the proportions of the historical business travel expenses spent by the target enterprise in each of the foregoing categories. The larger the proportion, the higher the corresponding preference weight. In other words, the preference weights can reflect the historical business travel booking preferences of the target enterprise in each category. For example, if the preference weight of the target enterprise for five-star hotels is relatively high, it means that the target enterprise is more inclined to book five-star hotels during historical business travels. Then, according to the preference weights corresponding to each category, weighted calculations are performed on the change rate of the single-category industry business travel expense and the change rate of the single-category business travel service price corresponding to each category to obtain the comprehensive price change rate. Please refer to formula (3):

[0053]

[0054] In formula (3), Characterize the comprehensive price change rate. 、 、 Respectively characterize the preference weights corresponding to the first category, the second category, and the nth category. 、 、 Respectively characterize the change rate of the single-category industry business travel expense corresponding to the first category, the second category, and the nth category. 、 、 Respectively characterize the change rate of the single-category business travel service price corresponding to the first category, the second category, and the nth category. n is a positive integer.

[0055] Furthermore, based on the comprehensive price change rate, the historical average business travel expenses of the target enterprise in the target business travel service area can be corrected to obtain the predicted average business travel expenses of the target enterprise in the target business travel service area. For example, the product of the historical average business travel expenses and the comprehensive price change rate can be used as the predicted average business travel expenses. Exemplarily, the preference weights corresponding to each category of the target enterprise in the target business travel service area can also be displayed on the client side of the business travel service platform, so that the relevant staff of the target enterprise can understand the historical booking preferences of the enterprise in detail according to the displayed preference weights. Similarly, the predicted average business travel expenses of the target enterprise in the target business travel service area can also be displayed on the client side of the business travel service platform, so that the relevant staff of the target enterprise can understand the predicted per capita expenditure level of the enterprise in different business travel service areas according to the displayed predicted average business travel expenses, which helps to formulate a more reasonable business travel budget allocation plan.

[0056] In this embodiment, in the process of correcting the historical average business travel expenses, not only the industry business travel characteristics and the price change characteristics of business travel services in each category are integrated, but also the influence degree of the data corresponding to each category on the predicted average business travel expenses is accurately reflected through the preference weights. Since the preference weights reflect the historical business travel booking preferences of the target enterprise in each category, the predicted average business travel expenses obtained through the above method can be more in line with the actual situation of the target enterprise, and provide a more real and accurate predicted average business travel expenses for the target enterprise.

[0057] Step 308: Determine the business travel budget of the target enterprise according to the predicted average business travel expenses of the target enterprise in the target business travel service area and the estimated business travel scale of the target enterprise in the target period.

[0058] The estimated business travel scale of the target enterprise in the target period may include the estimated number of business travelers. The business travel budget of the target enterprise in the target period can be determined according to the estimated number of business travelers and the predicted average business travel expenses.

[0059] In the above embodiment, since the industry business travel expense change rate reflects the actual expenditure level and trend of the industry to which the target enterprise belongs in the target business travel service area, and enterprises in the same industry have similarities in business travel expenses, therefore, correcting the historical average business travel expenses of the target enterprise based on the industry business travel expense change rate and the business travel service price change rate, this correction method takes into account both the industry business travel characteristics of the industry to which the target enterprise belongs and the market price fluctuations in the target business travel service area. Determining the business travel budget of the target enterprise based on this can make the business travel budget of the target enterprise better reflect the industry characteristics of the industry to which the target enterprise belongs and be more in line with the actual situation of the target enterprise.

[0060] In one embodiment, the business travel scale includes the number of business travelers and the frequency of business travel. A business travel scale configuration page can be displayed to the user on the client side of the business travel service platform, enabling the user to input the change rate of the number of business travelers and the change rate of the frequency of business travel of the target enterprise during the target period in the business travel scale configuration page. Figure 4b is a schematic diagram of a business travel scale configuration page provided by an exemplary embodiment. As Figure 4b shown, the user can configure the business travel scale corresponding to each of the four business travel service areas of air tickets, hotels, train tickets, and vehicle rentals in the business travel scale configuration page displayed on the client side. The business travel scale can include but is not limited to the change rate of the number of business travelers, the change rate of the frequency of business travel, the change rate of the average per capita business travel standard amount, and the change rate of the business travel standard amount per ticket per person. The configuration operation of the user in the business travel scale configuration page can be to input a value, or to select a value from the change rate options displayed on the client side or other operations, and this specification does not limit this. In response to the user's configuration operation, the business travel service platform determines the change rate of the number of business travelers and the change rate of the frequency of business travel of the target enterprise during the target period. Then, the business travel service platform can calculate the estimated number of business travelers of the target enterprise during the target period based on the historical number of business travelers of the target enterprise and the configured change rate of the number of business travelers, and calculate the estimated frequency of business travel of the target enterprise during the target period based on the historical frequency of business travel of the target enterprise and the configured change rate of the frequency of business travel. The calculated estimated number of business travelers and estimated frequency of business travel can be used as the estimated business travel scale of the target enterprise during the target period. On this basis, the business travel budget of the target enterprise during the target period is equal to the product of the three parameters of the estimated number of business travelers, the estimated frequency of business travel, and the average predicted business travel cost.

[0061] In this embodiment, the user configures the change rate of the number of business travelers and the change rate of the frequency of business travel of the target enterprise during the target period according to the actual situation of the target enterprise, which can ensure the accuracy of the estimated number of business travelers and the estimated frequency of business travel, and thus improve the accuracy of the predicted business travel budget.

[0062] In one embodiment, the historical business travel data of the target enterprise and the historical industry business travel data of the industry to which the target enterprise belongs can be obtained. It should be noted that the historical business travel data of the target enterprise and the historical industry business travel data need to be data within the same historical time period. The business travel data can include but is not limited to: business travel average, total business travel cost, number of business travelers, business travel days, average discount rate, over-standard rate. Furthermore, the obtained historical business travel data and historical industry business travel data are compared and displayed on the client side of the business travel service platform.

[0063] Please refer to Figure 5 , Figure 5 is a schematic diagram of comparing and displaying the historical business travel data of the target enterprise with the historical industry business travel data of the industry to which it belongs provided by an exemplary embodiment. As Figure 5As shown, in the case where the target business travel service field is the air ticket service field, the business travel data includes the average domestic air ticket price, the average number of days of advance booking for domestic air tickets, the average domestic air ticket discount rate, and the domestic air ticket over-standard rate. The user can click on any business travel data, and the client of the business travel service platform will generate a comparison curve graph of the clicked business travel data in response to the user's click operation. For example, in response to the click operation on the average domestic air ticket price, a comparison curve graph of the historical average air ticket price of the target enterprise and the historical average air ticket price of the industry is generated (such as Figure 5 the solid line part in). In addition, the business travel service platform can also display options for historical industry business travel data participating in the comparison on the client. The options may include: the average value of historical industry business travel data, the 90th percentile of the industry, the 60th percentile of the industry, etc. The user can freely select the historical industry business travel data participating in the comparison. In this way, the problem of distorted average values caused by large differences and uneven distributions of business travel data among enterprises in the same industry can be effectively avoided, thereby enhancing the significance of the comparison.

[0064] Similarly, the predicted business travel data of the target enterprise and the predicted industry business travel data of the industry to which the target enterprise belongs can also be obtained. The predicted business travel data can be calculated according to the method described in any of the foregoing embodiments, or can be predicted based on the change rate of industry business travel expenses in the target business travel service field of the industry to which the target enterprise belongs. For example, the estimated number of business travel days of the target enterprise in the target period is equal to the product of the historical business travel days of the target enterprise and the change rate of industry business travel expenses. The predicted over-standard rate / predicted refund / change rate / predicted discount rate of the target enterprise in the target period can be calculated by formula (4):

[0065]

[0066] In formula (4), R represents the change rate of industry business travel expenses in the target business travel service field of the industry to which the target enterprise belongs. The same period last year refers to the time period in last year corresponding to the target period. The molecular index of the same period last year refers to the molecular data used to calculate the over-standard rate / refund / change rate / discount rate in the same period last year, and the denominator index of the same period last year refers to the denominator data used to calculate the over-standard rate / refund / change rate / discount rate in the same period last year.

[0067] And so on, the predicted industry business travel data can be predicted based on a principle similar to the predicted business travel data of the target enterprise. Furthermore, the predicted business travel data and the predicted industry business travel data obtained are compared and displayed on the client of the business travel service platform. Combining Figure 5 , in the case where the user selects the average domestic air ticket price as the business travel data, a comparison curve graph of the predicted average air ticket price of the target enterprise and the predicted average air ticket price of the industry can be generated (such as Figure 5 the dashed line part in).

[0068] In this embodiment, the historical business travel data of the target enterprise and the historical industry business travel data of its affiliated industry are compared and shown to the user, so that the user can intuitively understand the differences between the historical business travel data of the target enterprise and the historical industry business travel data.

[0069] In one embodiment, the differences between the historical business travel data of the target enterprise and the historical industry business travel data on preset indicators can be calculated. The preset indicators may include at least one of the following: per capita business travel expense, average discount rate, over-standard rate, refund and modification rate, and advance booking days. When the differences between the historical business travel data of the target enterprise and the historical industry business travel data on the preset indicators exceed (i.e., are greater than or equal to) the preset difference threshold, a business travel budget adjustment suggestion matching the difference can be generated and shown on the client side of the business travel service platform. Please refer to Figure 6 , taking the proportion of ticket classes as an example of the preset indicator, Figure 6 shows the historical proportion and predicted proportion of the target enterprise under each ticket class (including economy class, business class, premium economy class, and first class), as well as the corresponding historical industry proportion and predicted industry proportion for each ticket class. By comparing the historical proportion of the target enterprise with the corresponding historical industry proportion under each ticket class, the differences between the historical proportion of the target enterprise and the historical industry proportion are determined. If the difference exceeds the preset difference threshold, the following business travel budget adjustment suggestion can be generated: "The actual proportion of economy class for your enterprise's domestic tickets is lower than the industry level. You can adjust the ticket difference standard configuration, or use the ticket over-standard approval configuration to increase the proportion of economy class bookings. You can also combine the advance booking days control ability to reduce the upgrade situation when there are no economy class tickets, and reduce the business travel cost." It should be noted that the above is only an example, and this specification does not make special limitations on specific business travel budget adjustment suggestions.

[0070] In this embodiment, by systematically analyzing the differences between the historical business travel data of the target enterprise and the historical industry business travel data on preset indicators and generating specific business travel budget adjustment suggestions accordingly, the enterprise can more intuitively grasp its business travel expenditure situation, make more scientific business travel budget decisions, and significantly reduce the workload of manual data analysis. That is, this method not only improves efficiency but also enhances the accuracy and effectiveness of business travel management.

[0071] In one embodiment, the business trip budget adjustment suggestion may include the name of the business trip budget allocation item to be adjusted. The business trip budget allocation item can be understood as the specific classification and setting of the business trip budget, and may include, but is not limited to, the lowest / highest per capita business trip expense, the number of days for advance booking, the number of business trip participants, the frequency of business trips, the number of business trip days, whether approval is required for exceeding the standard, and whether approval is required for refund and modification. By setting an estimated amount or estimated standard for each business trip budget allocation item, it is possible to help clarify the various possible costs in business trip activities, thereby facilitating the control of business trip expenses. When displaying the business trip budget adjustment suggestion on the client side of the business trip service platform, the name of the business trip budget allocation item to be adjusted included in the business trip budget adjustment suggestion can be prominently displayed, so that the name of the business trip budget allocation item to be adjusted can be distinguished from other contents in the business trip budget adjustment suggestion. Combined with Figure 6 the business trip budget adjustment suggestion shown in

[0072] the name of the business trip budget allocation item to be adjusted included in the business trip budget adjustment suggestion includes: air ticket price standard, approval for exceeding the air ticket standard, and the number of days for advance booking. There are many ways to prominently display, such as highlighting the name of the business trip budget allocation item to be adjusted, bolding it, or displaying a border of a specific shape around the name of the business trip budget allocation item to be adjusted, and so on. This specification does not particularly limit the specific way of prominent display.

[0073] In one embodiment, for the business travel budget adjustment suggestions displayed on the client of the business travel service platform, hyperlinks can be configured in the names of the business travel budget configuration items included in the suggestions, and these hyperlinks are used to open the configuration interfaces of the corresponding business travel budget configuration items. That is to say, when the user clicks on any hyperlink, the client of the business travel service platform will respond to the user's click operation and display the configuration interface of the business travel budget configuration item corresponding to the clicked hyperlink to the user. It should be noted that this specification does not limit the specific implementation form of the hyperlink. For example, the hyperlink can be in text form, control form, or other HTML elements. Compared with the method of manually returning or exiting the display page of the business travel budget adjustment suggestions and then opening the configuration interface of the business travel budget configuration item, in this embodiment, entering the configuration interface of the corresponding business travel budget configuration item through the hyperlink significantly reduces the user's operation steps and speeds up the access speed to the configuration interface of the business travel budget configuration item. Moreover, in the case where the business travel budget adjustment suggestions include the names of multiple business travel budget configuration items to be adjusted and the configuration interfaces of each business travel budget configuration item are not completely the same, when using the hyperlink for page jumping, the user can easily return from the configuration interface of the business travel budget configuration item to the display page of the business travel budget adjustment suggestions through the "Back" button, which helps to improve the adjustment efficiency of each business travel budget configuration item.

[0074] Alternatively, quick configuration controls can be configured in the names of the business travel budget configuration items included in the business travel budget adjustment suggestions. The user can directly perform quick adjustment or modification on the business travel budget configuration item corresponding to any quick configuration control by triggering (such as clicking, selecting, etc.). This method allows the user to directly adjust one or more business travel budget configuration items without entering the configuration interface to adjust each business travel budget configuration item one by one, thus significantly improving the flexibility and efficiency of configuring business travel budget configuration items.

[0075] Figure 7 is a schematic structural diagram of a device provided by an exemplary embodiment. Please refer to Figure 7 , at the hardware level, this device includes a processor 702, an internal bus 704, a network interface 706, a memory 708, and a non-volatile memory 710. Of course, there may also be other hardware required for other functions. One or more embodiments of this specification can be implemented in a software manner. For example, the processor 702 reads the corresponding computer program from the non-volatile memory 710 into the memory 708 and then runs it. Of course, in addition to the software implementation method, one or more embodiments of this specification do not exclude other implementation methods, such as logic devices or the combination of software and hardware, etc. That is to say, the execution subject of the following processing flow is not limited to each logic unit, and can also be hardware or logic devices.

[0076] Please refer to Figure 8, the device for determining the corporate travel budget can be applied to devices such as Figure 7 shown, specifically applied to the travel service platform to implement the technical solutions of this specification. The device for determining the corporate travel budget may include: an acquisition unit 801, a change rate determination unit 802, a correction unit 803, and a budget determination unit 804. Among them,

[0077] The acquisition unit 801 is configured to acquire the average historical travel expenses of the target enterprise in the target travel service field.

[0078] The change rate determination unit 802 is configured to determine the industry travel expense change rate of the industry to which the target enterprise belongs in the target travel service field, and to determine the travel service price change rate of the target travel service field.

[0079] The correction unit 803 is configured to correct the average historical travel expenses according to the industry travel expense change rate and the travel service price change rate of the target travel service field, so as to obtain the predicted average travel expenses of the target enterprise in the target travel service field.

[0080] The budget determination unit 804 is configured to determine the travel budget of the target enterprise according to the predicted average travel expenses of the target enterprise in the target travel service field and the estimated travel scale of the target enterprise in the target period.

[0081] Optionally, the target travel service field includes at least two categories;

[0082] The change rate determination unit 802 is specifically configured to determine the single-category industry travel expense change rate corresponding to each category of the target travel service field of the industry to which the target enterprise belongs, and to determine the single-category travel service price change rate corresponding to each category of the target travel service field.

[0083] Optionally, the device further includes:

[0084] The preference weight acquisition unit 805 is configured to acquire the preference weights corresponding to each category of the target travel service field of the target enterprise, and the preference weights correspond to the proportion of the historical travel expenses spent by the target enterprise in each category of the target travel service field.

[0085] The correction unit 803 is specifically configured to: perform weighted calculation on the single-category business travel expense change rate corresponding to each category and the single-category travel service price change rate corresponding to each category according to the preference weights corresponding to each category, so as to obtain a comprehensive price change rate; correct the historical average travel expense based on the comprehensive price change rate to obtain the predicted average travel expense, and display the preference weights and the predicted average travel expense on the client side of the travel service platform.

[0086] Optionally, the division dimensions of each category in the target travel service area include any one of the following alternative dimensions or a combination of multiple alternative dimensions: travel destination, travel departure place, service level, supplier;

[0087] The device further includes: a dimension determination unit 806, configured to display multiple alternative dimensions on the client side of the travel service platform; and determine the division dimensions of each category in the target travel service area in response to a selection operation on at least one alternative dimension.

[0088] Optionally, the travel scale includes the number of business travelers and the frequency of business travel; the device further includes:

[0089] A travel scale estimation unit 807, configured to display a travel scale configuration page on the client side of the travel service platform; determine the change rate of the number of business travelers and the change rate of the frequency of business travel of the target enterprise in the target period in response to a configuration operation on the travel scale configuration page; calculate the estimated number of business travelers and the estimated frequency of business travel of the target enterprise in the target period based on the historical number of business travelers and the historical frequency of business travel of the target enterprise, and the determined change rate of the number of business travelers and the change rate of the frequency of business travel, so as to use as the estimated travel scale of the target enterprise in the target period.

[0090] Optionally, the device further includes:

[0091] A comparison and display unit 808, configured to obtain the historical travel data of the target enterprise and the historical industry travel data of the industry to which the target enterprise belongs; compare and display the historical travel data of the target enterprise and the historical industry travel data on the client side of the travel service platform.

[0092] Optionally, the device further includes:

[0093] The recommended display unit 809 is configured to calculate the difference between the historical business travel data of the target enterprise and the historical industry business travel data in a preset metric, where the preset metric includes at least one of the following: per capita business travel expense, average discount rate, over-standard rate, cancellation and modification rate, and advance booking days; and generate a business travel budget adjustment recommendation that matches the difference and display it when the difference exceeds a preset difference threshold.

[0094] Optionally, the business travel budget adjustment recommendation includes the name of the business travel budget configuration item to be adjusted, and the name of the business travel budget configuration item is prominently displayed on the client side of the business travel service platform to distinguish it from other contents in the business travel budget adjustment recommendation.

[0095] Optionally, the name of the business travel budget configuration item is configured with a hyperlink, and the hyperlink is used to open the configuration interface of the corresponding business travel budget configuration item; or the name of the business travel budget configuration item is configured with a quick configuration control, and the quick configuration control is triggered to directly configure the corresponding business travel budget configuration item.

[0096] Based on the same concept as the above method, this specification also provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein, the processor realizes the steps of the method as described in any one of the above embodiments by running the executable instructions.

[0097] Based on the same concept as the above method, this specification also provides a computer-readable storage medium, on which computer instructions are stored, and the instructions, when executed by a processor, realize the steps of the method as described in any one of the above embodiments.

[0098] Based on the same concept as the above method, this specification also provides a computer program product, including a computer program / instructions, and the computer program / instructions, when executed by a processor, realize the steps of the method as described in any one of the above embodiments.

Claims

1. A method for determining a corporate travel budget, characterized in that: Applied to a travel service platform, the method includes: Obtaining an average historical travel expense of a target enterprise in a target travel service field, where the target travel service field includes at least two categories; Determining the industry travel expense change rate of the target enterprise's industry in the target travel service field, and determining the travel service price change rate of the target travel service field, including: determining the industry travel expense change rate of each category of the target enterprise's industry in the target travel service field, and determining the travel service price change rate of each category of the target travel service field; wherein the industry travel expense change rate reflects the industry travel characteristics of the target enterprise's industry, and the travel service price change rate of the target travel service field reflects the market price fluctuation of the target travel service field; The historical travel expense mean is corrected according to the industry travel expense change rate and the travel service price change rate of the target travel service field to obtain the predicted travel expense mean of the target enterprise in the target travel service field, including: according to the preference weights corresponding to each category of the target enterprise in the target travel service field, weighted calculation is performed on the single-category industry travel expense change rate corresponding to each category and the single-category travel service price change rate corresponding to each category to obtain a comprehensive price change rate; and the historical travel expense mean is corrected based on the comprehensive price change rate to obtain the predicted travel expense mean; wherein the preference weight corresponds to the proportion of the historical travel expenses spent by the target enterprise on each category in the target travel service field; The travel budget of the target enterprise is determined based on the predicted average travel expenses of the target enterprise in the target travel service field and the estimated travel scale of the target enterprise in the target period.

2. The method according to claim 1, characterized in that The method further comprises: The preference weight and the predicted travel expense mean are displayed on a client of the travel service platform.

3. The method according to claim 1, characterized in that The dimensions for dividing each category in the target travel service field include any one of the following alternative dimensions or a combination of multiple alternative dimensions: travel destination, travel departure point, service level, and supplier; the method further includes: Displaying multiple alternative dimensions on a client of the travel service platform; In response to a selection operation on at least one candidate dimension, a division dimension of each category in the target travel service field is determined.

4. The method according to claim 1, wherein The travel scale includes the number of travelers and the travel frequency; the method further includes: Displaying a travel scale configuration page on the client of the travel service platform; In response to a configuration operation in the travel scale configuration page, determining a change rate of the number of travelers and a change rate of the travel frequency of the target enterprise in the target period; Based on the historical number of travelers and historical travel frequency of the target enterprise, as well as the determined rate of change in the number of travelers and the rate of change in the travel frequency, the estimated number of travelers and the estimated travel frequency of the target enterprise during the target period are calculated as the estimated travel scale of the target enterprise during the target period.

5. The method according to claim 1, wherein Also includes: Obtaining historical travel data of the target enterprise and historical industry travel data of the industry to which the target enterprise belongs; The client of the travel service platform compares and displays the historical travel data of the target enterprise and the historical industry travel data.

6. The method according to claim 5, characterized in that Also includes: Calculate the difference between the target enterprise's historical travel data and the industry's historical travel data in terms of preset indicators, where the preset indicators include at least one of the following: per capita travel expenses, average discount rate, excess rate, cancellation and change rate, and advance booking days; When the difference exceeds a preset difference threshold, a travel budget adjustment suggestion matching the difference is generated and displayed on the client of the travel service platform.

7. The method according to claim 6, characterized in that The travel budget adjustment suggestion includes: the name of the travel budget configuration item recommended for adjustment, and the name of the travel budget configuration item is prominently displayed on the client of the travel service platform to distinguish it from other content in the travel budget adjustment suggestion.

8. The method according to claim 7, characterized in that The name of the travel budget configuration item is configured with a hyperlink, which is used to open the configuration interface of the corresponding travel budget configuration item; or, The name of the travel budget configuration item is configured with a quick configuration control, and the quick configuration control is used to directly configure the corresponding travel budget configuration item after being triggered.

9. A computer program product, characterized in that The method comprises a computer program / instruction, which implements the steps of the method according to any one of claims 1 to 8 when the computer program / instruction is executed by a processor.

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