Enterprise travel budget determination method and computer program product
By combining the historical average travel expenses, the industry travel expenses change rate and the travel service price change rate, the enterprise travel budget is revised, and the problem of inaccurate travel budget forecasts in the existing technology is solved, and a more accurate travel budget forecast is achieved.
Patent Information
- Application Number
- CN202510377079.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-27
- Publication Date
- 2025-04-29
- Estimated Expiration
- 2045-03-27
AI Technical Summary
When predicting corporate travel budgets, the existing technology depends on the average price change rate in the travel service field and cannot accurately reflect the actual situation and specific needs of the company, resulting in inaccurate predictions.
By obtaining the historical travel expense average of the target company in the target travel service field, and combining the industry travel expense change rate and the travel service price change rate, the historical travel expense average is corrected to obtain the predicted travel expense average. Then, based on the predicted travel expense average and estimated travel scale, the business's travel budget is determined.
This method can more accurately reflect the industry characteristics and actual conditions of the industry to which the company belongs, and improves the accuracy of the travel budget.
Smart Images

Figure CN119904071A_ABST
Abstract
Description
Technical Field
[0001] One or more embodiments of the present specification relate to the field of Internet technology, and more particularly, to a method for determining a corporate travel budget and a computer program product. Background Art
[0002] The travel expenses of an enterprise are an important part of the overall operating costs, so formulating a reasonable travel budget is a key link in the financial management of an enterprise. In related technologies, enterprises usually refer to the price change trends of various travel service areas (such as hotel accommodation, air travel, rail transportation, etc.) provided by the travel service platform to make travel budget forecasts. However, relying solely on the average price change rate in the travel service field to predict the enterprise's travel budget often fails to accurately reflect the actual situation and specific needs of the enterprise itself, resulting in inaccurate predicted corporate travel budgets. Summary of the invention
[0003] In view of this, one or more embodiments of this specification provide the following technical solutions: According to a first aspect of one or more embodiments of this specification, a method for determining an enterprise travel budget is proposed, which is applied to a travel service platform, including: Obtain the historical average travel expenses of the target enterprise in the target travel service field; Determine the rate of change of industry travel expenses of the industry to which the target enterprise belongs in the target travel service field, and determine the rate of change of travel service prices in the target travel service field; According to the travel expense change rate of the industry and the travel service price change rate of the target travel service field, the historical travel expense average is corrected to obtain the predicted travel expense average of the target enterprise in the target travel service field; The travel budget of the target enterprise is determined 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 within the target period.
[0004] According to a second aspect of one or more embodiments of the present specification, a computer program product is provided, comprising a computer program / instruction, which implements the steps of the method described in the first aspect when executed by a processor.
[0005] As can be seen from the above embodiments, this specification determines the travel service price change rate in the target travel service field and the industry travel expense change rate of the target enterprise's industry in the target travel service field, and corrects the target enterprise's historical travel expense mean according to the travel service price change rate and the industry travel expense change rate to obtain the target enterprise's predicted travel expense mean in the target travel service field. Furthermore, the target enterprise's travel budget is determined according to the target enterprise's estimated travel scale and the predicted travel expense mean in the target period.
[0006] Since the aforementioned industry travel expense change rate reflects the actual expenditure level and trend of the target enterprise's industry in the target travel service field, and enterprises in the same industry have similar travel expenses, the historical travel expense average of the target enterprise is corrected based on the industry travel expense change rate and the travel service price change rate. This correction method takes into account the industry travel characteristics of the target enterprise's industry and the market price fluctuations in the target travel service field. Determining the target enterprise's travel budget on this basis can make the target enterprise's travel budget better reflect the industry characteristics of the target enterprise's industry, and be more in line with the target enterprise's actual situation, effectively improving the accuracy of the predicted corporate travel budget. BRIEF DESCRIPTION OF THE DRAWINGS
[0007] Figure 1 It is a schematic diagram of a system architecture on which a travel service platform relies provided by an exemplary embodiment.
[0008] Figure 2 It is a schematic diagram of predicting a corporate travel budget in a related technology provided by an exemplary embodiment.
[0009] Figure 3 It is a flowchart of a method for determining a corporate travel budget provided by an exemplary embodiment.
[0010] Figure 4a It is a schematic diagram of a display page of an alternative dimension provided by an exemplary embodiment.
[0011] Figure 4b It is a schematic diagram of a travel scale prediction configuration page provided by an exemplary embodiment.
[0012] Figure 5 It is a schematic diagram provided by an exemplary embodiment for comparing and displaying the historical travel data of a target enterprise and the historical industry travel data of the industry to which it belongs.
[0013] Figure 6 It is a schematic diagram of a travel budget adjustment suggestion provided by an exemplary embodiment.
[0014] Figure 7It is a structural schematic diagram of a device provided by an exemplary embodiment.
[0015] Figure 8 It is a block diagram of a device for determining a corporate travel budget provided by an exemplary embodiment. DETAILED DESCRIPTION
[0016] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this manual are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.
[0017] Figure 1 FIG. 1 is a schematic diagram of a system architecture on which a travel service platform is based, provided by an exemplary embodiment. Figure 1 As 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 , and the like.
[0018] The server 11 may be a physical server including an independent host, or the server 11 may be a virtual server carried by a host cluster. During operation, the server 11 may run a server-side program of the travel service platform to realize the service end of the travel service platform.
[0019] PC 13 and mobile phone 14 are only some types of electronic devices that users can use. In fact, users can obviously also use electronic devices such as the following types: tablet devices, laptops, PDAs (Personal Digital Assistants), wearable devices (such as smart glasses, smart watches, etc.), etc., and one or more embodiments of this specification do not limit this. During operation, the electronic device can run the program on the client side 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-mentioned travel service platform can be started and run on the electronic device. The program on the client side can be a native application installed on the electronic device, or the program on the client side can be a small program, a quick application or other similar forms. Of course, when using web page technologies such as HTML5 or similar, the relevant functions can be implemented through the page displayed by the browser. The browser here can be an independent browser application or a browser module embedded in certain applications.
[0020] As for the network 12 for interaction between electronic devices such as PC 13 and mobile phone 14 and server 11, it is possible to select a wired or wireless network to achieve communication based on the communication mode supported by the corresponding electronic device, and this specification does not limit this. For example, PC 13 can support both wired and wireless communication, so it can use a wired or wireless network to achieve communication as needed, while mobile phone 14 usually only supports wireless communication, so it can use a wireless network to achieve communication.
[0021] The above-mentioned travel service platforms focus on serving enterprises and their employees, aiming to simplify and optimize the planning, booking, management and reimbursement processes of business travel. Travel service platforms can usually provide users with travel service booking functions, travel data analysis functions, trend forecasting functions, process approval functions, etc.
[0022] In related technologies, companies usually make travel budget forecasts by referring to the price change trends of various travel service areas (such as hotel accommodation, air travel, rail transportation, etc.) provided by the travel service platform. Figure 2 , Figure 2 It is a schematic diagram of predicting a corporate travel budget in a related technology provided by an exemplary embodiment. Figure 2 The figure shows the travel expenses of Enterprise A every month from January to July 2023. The travel expenses include air ticket expenses and hotel accommodation expenses. The user can click the air ticket average price prediction control or the hotel accommodation average price prediction control to display the corresponding change trend chart. Figure 2 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 are shown in Figure 2. In the related art, the hotel accommodation budget for the next August to November is usually predicted based on the actual change trend and predicted change trend of the average hotel accommodation price, combined with the hotel accommodation expenditure from January to July. Similarly, the air ticket budget for the next August to November is predicted. The travel budget of the company for the next August to November can be predicted by adding up the budgets of each travel service area.
[0023] However, this method only relies on the average price change rate in the travel service field to predict the corporate travel budget, which often cannot accurately reflect the actual situation and specific needs of the enterprise itself, resulting in the predicted corporate travel budget being inaccurate. In view of this, this specification proposes a method for determining the corporate travel budget, which can predict an accurate travel budget that is more in line with the actual situation of the enterprise.
[0024] The following will be combined Figure 3 , the technical solution of this specification is described in detail.
[0025] Figure 3FIG. 1 is a flowchart of a method for determining a corporate travel budget provided by an exemplary embodiment, and the method is applied to a travel service platform. Figure 3 As shown, the method may include the following steps: Step 302, obtaining the average historical travel expenses of the target enterprise in the target travel service field.
[0026] The target enterprise can be any enterprise, and this specification does not specifically limit the industry involved in the target enterprise, the city in which it is located, etc. The field of travel services may include but is not limited to: hotel services, air ticket services, train services, and car services. Exemplarily, the staff of the target enterprise can upload historical travel data (such as historical travel expense data, historical number of travelers, etc.) through the client of the travel service platform. The server of the travel service platform can store the historical travel data of the target enterprise. In the process of implementing the solution of this specification, the average historical travel expenses of the target enterprise in the target travel service field can be obtained from the stored historical travel expense data. It should be noted that the average historical travel expenses refers to the average travel expenses of the target enterprise in the historical time period. The 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.
[0027] For example, the user can enter the target company's corporate ID (such as company name, company code, etc.) and historical time period in the travel budget page displayed by the client of the travel service platform. The travel service platform can search for the target company's historical travel expense data in the historical time period from the stored data, and then calculate the corresponding historical travel expense average based on the found historical travel expense data.
[0028] Step 304 , 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 in the target travel service field.
[0029] It should be noted that this specification does not specifically limit the execution order of step 302 and step 304. The industry to which the target enterprise belongs can be determined according to the main business activities, products 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, China National Standard Industry Classification). The industry travel expense change rate of any industry is intended to reflect the fluctuation of travel expenses caused by public factors such as the off-season and holidays of travel. Exemplarily, in order to evaluate the industry travel expense change rate of the target enterprise's industry in the target travel service field, its travel expenses in the target travel service field in the most recent year can be compared and analyzed with the travel expenses in the previous year. It is understandable that the industry travel expense change rate often reflects the specific industry characteristics of each industry. For example, the audit industry has a high frequency of business trips and a large number of business trips, while the education industry has a low frequency of business trips and a low number of business trips, so the industry travel expense change rates of these two industries will show different characteristics.
[0030] The change rate of travel service prices 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 travel service prices refers to the change rate of air ticket prices; when the target travel service field is the hotel service field, the change rate of travel service prices refers to the change rate of hotel accommodation prices; when the target travel service field is the train service field, the change rate of travel service prices refers to the change rate of train ticket prices; when the target travel service field is the car service field, the change rate of travel service prices refers to the change rate of the car mileage unit price.
[0031] 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 division dimensions. For example, for the hotel service field, it can be divided according to the hotel star rating to obtain five categories of one star, two stars, three stars, four stars, and five stars. Or it can be divided according to the city, one city corresponds to one category, so as to determine multiple categories. For the air ticket service field, it can be divided according to cabin class, one cabin class corresponds to one category, and multiple categories are obtained. Or, it can be divided according to airlines, one airline corresponds to one category, and multiple categories are obtained. For the train service field, it can be divided according to the seat type to obtain three categories of hard sleeper, soft sleeper, and hard seat. For the car service field, it can be divided according to the supplier of car services to obtain multiple categories. The above is only an example, and this specification does not specifically limit the categories in the target travel service field.
[0032] In the process of determining the industry travel expense change rate of the target enterprise's industry in the target travel service field, the single-category industry travel expense change rate corresponding to each category of the target enterprise's industry in the target travel service field can be determined. For example, taking the target travel service field as the hotel service field, in the case where the hotel service field includes five categories from one star to five stars, the single-category industry travel expense change rate may include: the industry travel expense change rate of the target enterprise's industry in one-star hotels, the industry travel expense change rate in two-star hotels, the industry travel expense change rate in three-star hotels, the industry travel expense change rate in four-star hotels, and the industry travel expense change rate in five-star hotels.
[0033] Similarly, in the process of determining the travel service price change rate in the target travel service field, the travel service price change rate of each category in the target travel service field can be determined. For example, still taking the hotel service field as the target travel service field, when the hotel service field includes five categories from one star to five stars, the travel service price change rate of one-star hotels, the travel service price change rate of two-star hotels, the travel service price change rate of three-star hotels, the travel service price change rate of four-star hotels, and the travel service price change rate of five-star hotels can be determined.
[0034] In this embodiment, the industry travel expense change rate and travel service price change rate corresponding to the target travel service field are divided into the single-category industry travel expense change rate and single-category travel service price change rate corresponding to each category, so as to understand the industry travel characteristics and travel service price change characteristics of each category at a finer granularity. On this basis, the historical travel expense mean of the target enterprise can be corrected according to the single-category industry travel expense change rate and single-category travel service price change rate corresponding to each category, and the predicted travel expense mean corresponding to each category can be obtained, and then the travel budget of the target enterprise under each category can be predicted. By providing users with travel budgets of each category, the precision and accuracy of the travel budget are significantly improved, which helps users to manage the travel budget more meticulously.
[0035] In one embodiment, the alternative dimensions for classifying the target travel service field may include, but are not limited to: travel destination, travel departure point, service level, and supplier. The service level may be understood as the level of service that can be provided by the target travel service field. Please refer to Table 1, which is a schematic table of service levels of various travel service fields provided by an exemplary embodiment.
[0036] Table 1
[0037] Any one of the above-mentioned alternative dimensions or a combination of multiple alternative dimensions can be determined as the division dimension of each category in the target travel service field. Figure 4a , Figure 4a This is a schematic diagram of a display page of alternative dimensions provided by an exemplary embodiment. The various alternative dimensions can be displayed to the user on the client of the travel service platform. The user can select from the various alternative dimensions displayed, and the client determines at least one alternative dimension selected by the user as a division dimension in response to the user's selection operation. For example, in combination with Figure 4a , the target travel service field is the hotel service field. In response to the user triggering operation on the drop-down control of the service level, multiple service levels involved in the hotel service field are displayed. Furthermore, in response to the user selecting operation on any service level among the multiple service levels, the selected service level is determined as the division dimension.
[0038] Step 306, according to the industry travel expense change rate and the travel service price change rate of the target travel service field, the historical travel expense average is corrected to obtain the predicted travel expense average of the target enterprise in the target travel service field.
[0039] For example, the principle of correcting the mean of historical travel expenses can be referred to formula (1): (1)
[0040] In formula (1), Represents the predicted mean of travel expenses, Represents the average historical travel expenses, Characterize the change rate of industry travel expenses, Characterizes the rate of change of travel service prices.
[0041] In one embodiment, after determining the single-category industry travel expense change rate corresponding to each category in the target travel service field and the single-category travel service price change rate corresponding to each category in the target travel service field, the single-category historical travel expense average corresponding to each category of the target enterprise can be determined. Then, according to the single-category industry travel expense change rate and the single-category travel service price change rate corresponding to each category, the corresponding single-category historical travel expense average is corrected to obtain the predicted travel expense average corresponding to each category. The principle of this correction process can be referred to the following formula (2): (2)
[0042] In formula (2), Represents the predicted mean travel expenses corresponding to the nth category, Represents the average historical travel expenses of a single category corresponding to the nth category, Represents the change rate of travel expenses in a single category industry corresponding to the nth category, Represents the price change rate of a single category of travel services corresponding to the nth category. In this way, the average predicted travel expenses of the target enterprise under each category can be obtained, which further refines the granularity of the predicted expense average and helps to improve the diversity and accuracy of the predicted travel expense average.
[0043] In one embodiment, given that the target enterprise spends different travel expenses on various categories in the target travel service field, for example, the travel expenses spent by enterprise A on one-star hotels and five-star hotels are different. Therefore, when correcting the mean value of the target enterprise's historical travel expenses, the preference weights corresponding to each category of the target enterprise in the target travel service field can be obtained first. The preference weights correspond to the proportion of the target enterprise's historical travel expenses spent in each of the aforementioned categories. The larger the proportion, the higher the corresponding preference weight. In other words, the preference weight can reflect the target enterprise's historical travel booking preferences in each category. For example, the target enterprise has a higher preference weight for five-star hotels, indicating that the target enterprise is more inclined to book five-star hotels during historical travel. Then, according to the preference weights corresponding to each category, the single-category industry travel expense change rate and the single-category travel service price change rate corresponding to each category are weighted and calculated to obtain the comprehensive price change rate. Please refer to formula (3):
[0044] In formula (3), Represents the comprehensive price change rate. , , Respectively represent the preference weights corresponding to the first category, the second category and the nth category. , , Represents the travel expense change rates of single-category industries corresponding to the first category, the second category, and the nth category respectively. , , Respectively represent the price change rates of single-category travel services corresponding to the first category, the second category, and the nth category. n is a positive integer.
[0045] Furthermore, the average historical travel expenses of the target enterprise in the target travel service field can be corrected based on the comprehensive price change rate to obtain the predicted average travel expenses of the target enterprise in the target travel service field. For example, the product of the historical travel expenses average and the comprehensive price change rate can be used as the predicted average travel expenses. Exemplarily, the preference weights corresponding to each category of the target enterprise in the target travel service field can also be displayed on the client of the 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 travel expenses of the target enterprise in the target travel service field can also be displayed on the client of the 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 travel service fields according to the displayed predicted average travel expenses, which is helpful to formulate a more reasonable travel budget allocation plan.
[0046] In this embodiment, in the process of correcting the historical travel expense average, not only the industry travel characteristics and travel service price change characteristics of each category are integrated, but also the influence of the data corresponding to each category on the predicted travel expense average is accurately reflected through the preference weight. Since the preference weight reflects the historical travel booking preferences of the target enterprise in each category, the predicted travel expense average obtained by the above method can better fit the actual situation of the target enterprise, and provide the target enterprise with a more realistic and accurate predicted travel expense average.
[0047] Step 308 , 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.
[0048] The estimated business trip scale of the target enterprise in the target period may include the estimated number of travelers. The travel budget of the target enterprise in the target period can be determined based on the estimated number of travelers and the average of the predicted travel expenses.
[0049] In the above embodiment, since the industry travel expense change rate reflects the actual expenditure level and trend of the industry to which the target enterprise belongs in the target travel service field, and enterprises in the same industry have similar travel expenses, the historical travel expense average of the target enterprise is corrected based on the industry travel expense change rate and the travel service price change rate. This correction method takes into account the industry travel characteristics of the industry to which the target enterprise belongs and the market price fluctuations in the target travel service field. Determining the travel budget of the target enterprise on this basis can make the travel budget of the target enterprise better reflect the industry characteristics of the industry to which the target enterprise belongs, and can be more in line with the actual situation of the target enterprise.
[0050] In one embodiment, the travel scale includes the number of travelers and the travel frequency. A travel scale configuration page can be displayed to the user on the client of the travel service platform, so that the user can enter the change rate of the number of travelers and the change rate of the travel frequency of the target enterprise in the target period in the travel scale configuration page. Figure 4b FIG. 1 is a schematic diagram of a travel scale configuration page provided by an exemplary embodiment. Figure 4b As shown, the user can configure the travel scale corresponding to the four travel service areas of air tickets, hotels, train tickets, and car rentals in the travel scale configuration page displayed by the client. The travel scale may include but is not limited to the change rate of the number of travelers, the change rate of the travel frequency, the change rate of the average difference amount per person, and the change rate of the difference amount per person per ticket. The configuration operation of the user in the travel scale configuration page can be to enter a numerical value, or to select a numerical value in the change rate option displayed on the client or other operations, which are not limited in this specification. The travel service platform determines the change rate of the number of travelers and the change rate of the travel frequency of the target enterprise in the target period in response to the user's configuration operation. Then, the travel service platform can calculate the estimated number of travelers of the target enterprise in the target period according to the historical number of travelers of the target enterprise and the configured change rate of the number of travelers, and calculate the estimated travel frequency of the target enterprise in the target period according to the historical travel frequency of the target enterprise and the configured change rate of the travel frequency. The calculated estimated number of travelers and the estimated travel frequency can be used as the estimated travel scale of the target enterprise in the target period. On this basis, the travel budget of the target enterprise during the target period is equal to the product of the three parameters: estimated number of travelers, estimated travel frequency and predicted average travel expenses.
[0051] In this embodiment, the user configures the target enterprise's travel number change rate and travel frequency change rate in the target period according to the actual situation of the target enterprise, which can ensure the accuracy of the estimated number of travelers and the estimated travel frequency, thereby improving the accuracy of the predicted travel budget.
[0052] In one embodiment, the historical travel data of the target enterprise and the historical industry travel data of the industry to which the target enterprise belongs can be obtained. It should be noted that the historical travel data of the target enterprise and the historical industry travel data must be data within the same historical time period. The travel data may include, but is not limited to: travel average, total travel expenses, number of travelers, number of travel days, average discount rate, and excess rate. Then, the obtained historical travel data and historical industry travel data are compared and displayed on the client of the travel service platform.
[0053] See also Figure 5 , Figure 5 This is a schematic diagram of an exemplary embodiment providing a comparison and display of the historical travel data of a target enterprise and the historical industry travel data of its industry. Figure 5As shown in the figure, when the target travel service field is the air ticket service field, the travel data includes the average domestic air ticket price, the average number of days in advance for domestic air ticket booking, the average domestic air ticket discount rate and the domestic air ticket excess rate. The user can click on any travel data, and the client of the travel service platform will generate a comparison curve chart of the clicked 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 chart 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 In addition, the travel service platform can also display options for historical industry travel data to be compared on the client. The options may include: the average value of historical industry travel data, the 90th percentile of the industry, the 60th percentile of the industry, etc. Users can freely choose the historical industry travel data to be compared. In this way, the problem of average value distortion caused by large differences and uneven distribution of travel data of enterprises in the same industry can be effectively avoided, thereby enhancing the significance of the comparison.
[0054] Similarly, the predicted travel data of the target enterprise and the predicted industry travel data of the industry to which the target enterprise belongs can also be obtained. The predicted travel data can be calculated according to the method described in any of the aforementioned embodiments, or can be predicted based on the industry travel expense change rate of the target enterprise's industry in the target travel service field. For example, the estimated number of travel days of the target enterprise in the target period is equal to the product of the target enterprise's historical travel days and the industry travel expense change rate. The predicted excess rate / predicted refund and change rate / predicted discount rate of the target enterprise in the target period can be calculated using formula (4):
[0055] In formula (4), R represents the change rate of industry travel expenses of the target enterprise's industry in the target travel service field. The same period last year refers to the time period corresponding to the target period last year. The numerator of the same period last year refers to the numerator data used to calculate the excess rate / refund rate / discount rate in the same period last year, and the numerator of the same period last year refers to the denominator data used to calculate the excess rate / refund rate / discount rate in the same period last year.
[0056] By analogy, the predicted industry travel data can be predicted based on the principle similar to the predicted travel data of the target enterprise. Then, the predicted travel data obtained is compared and displayed with the predicted industry travel data on the client of the travel service platform. Figure 5 , when the user selects the domestic average air ticket price as the travel data, a comparison curve 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 part in the figure).
[0057] In this embodiment, the historical travel data of the target enterprise and the historical industry travel data of the industry to which it belongs are compared and displayed to the user so that the user can intuitively understand the difference between the historical travel data of the target enterprise and the historical industry travel data.
[0058] In one embodiment, the difference between the target enterprise's historical travel data and the historical industry travel data in preset indicators can be calculated. The preset indicators can include at least one of the following: per capita travel expenses, average discount rate, excess rate, refund and change rate, and advance booking days. When the difference between the target enterprise's historical travel data and the historical industry travel data in preset indicators exceeds (i.e., is greater than or equal to) a preset difference threshold, a travel budget adjustment suggestion matching the difference can be generated and displayed on the client of the travel service platform. Please refer to Figure 6 , taking the preset indicator of air ticket class ratio as an example, Figure 6 The historical share and predicted share of the target enterprise in each ticket class (including economy class, business class, super economy class and first class), as well as the historical industry share and predicted industry share corresponding to each ticket class are shown. By comparing the historical share of the target enterprise in each ticket class with the corresponding historical industry share, the difference between the historical share and the historical industry share of the target enterprise is determined. If the difference exceeds the preset difference threshold, the following travel budget adjustment suggestion can be generated: "The actual economy class share of your company's domestic air tickets is lower than that of the industry. You can adjust the air ticket difference configuration, or use the air ticket excess approval configuration to increase the economy class booking ratio. You can also combine the ability to control the number of days of advance booking to reduce the situation of economy class upgrades when there are no tickets and reduce travel costs." It should be noted that the above is only an example, and this manual does not specifically limit specific travel budget adjustment suggestions.
[0059] In this embodiment, by systematically analyzing the differences between the target enterprise's historical travel data and the industry's historical travel data in terms of preset indicators and generating specific travel budget adjustment suggestions based on them, the enterprise can more intuitively grasp its travel expenditure status and make more scientific travel budget decisions, while significantly reducing the workload of manual data analysis. That is, this method not only improves efficiency, but also enhances the accuracy and effectiveness of travel management.
[0060] In one embodiment, the travel budget adjustment suggestion may include the name of the travel budget configuration item that is recommended to be adjusted. The travel budget configuration item can be understood as the specific classification and setting of the travel budget, which may include but is not limited to the minimum / maximum price of per capita travel expenses, the number of advance booking days, the number of travelers, the frequency of travel, the number of travel days, whether the excess is approved, and whether the refund or change is approved. By setting an estimated amount or an estimated standard for each travel budget configuration item, it can help clarify the various costs that may be incurred in travel activities, thereby facilitating the management and control of travel expenses. When the travel budget adjustment suggestion is displayed on the client of the travel service platform, the name of the travel budget configuration item recommended to be adjusted included in the travel budget adjustment suggestion can be highlighted, so that the name of the travel budget configuration item recommended to be adjusted can be distinguished from other content in the travel budget adjustment suggestion. Combined with Figure 6 The travel budget adjustment suggestion shown includes the names of the travel budget configuration items that are recommended for adjustment: air ticket difference, air ticket excess approval, and advance booking days. There are many ways to highlight, such as highlighting or bolding the name of the travel budget configuration item that is recommended for adjustment, or displaying a border of a specific shape around the name of the travel budget configuration item that is recommended for adjustment, etc. This specification does not specifically limit the specific method of highlighting.
[0061] In this embodiment, the names of the travel budget configuration items recommended for adjustment contained in the travel budget adjustment suggestion are highlighted so that enterprise staff can quickly and intuitively understand the travel budget configuration items that need to be adjusted and controlled from the longer travel budget adjustment suggestion text, thereby further reducing the reading cost of enterprise staff in obtaining the travel budget adjustment suggestion.
[0062] In one embodiment, for the travel budget adjustment suggestion displayed on the client of the travel service platform, a hyperlink can be configured in the name of the travel budget configuration item contained in the suggestion, and the hyperlink is used to open the configuration interface of the corresponding travel budget configuration item. That is to say, when the user clicks on any hyperlink, the client of the travel service platform will respond to the user's click operation and display to the user the configuration interface of the travel budget configuration item corresponding to the clicked hyperlink. It should be noted that this specification does not limit the specific implementation form of the hyperlink. For example, the hyperlink can be in the form of text, control or other HTML elements. Compared with the method of manually returning to or exiting the display page of the travel budget adjustment suggestion and then opening the configuration interface of the travel budget configuration item, this embodiment enters the configuration interface of the corresponding travel budget configuration item through a hyperlink, which significantly reduces the user's operation steps and speeds up the speed of accessing the configuration interface of the travel budget configuration item. Moreover, when the travel budget adjustment suggestion contains the names of multiple travel budget configuration items that are recommended for adjustment, and the configuration interfaces of each travel budget configuration item are not exactly the same, a hyperlink is used to jump to the page. The user can easily return from the configuration interface of the travel budget configuration item to the display page of the travel budget adjustment suggestion through the "Back" button, thereby helping to improve the adjustment efficiency of each travel budget configuration item.
[0063] Alternatively, a quick configuration control can be configured in the name of the travel budget configuration item included in the travel budget adjustment suggestion. The user can trigger (such as clicking, selecting, etc.) any quick configuration control to quickly adjust or modify the travel budget configuration item corresponding to the quick configuration control. This method allows the user to directly adjust one or more travel budget configuration items without entering the configuration interface to adjust the travel budget configuration items one by one, thereby significantly improving the flexibility and efficiency of configuring travel budget configuration items.
[0064] Figure 7 is a schematic structural diagram of a device provided by an exemplary embodiment. Figure 7 At the hardware level, the device includes a processor 702, an internal bus 704, a network interface 706, a memory 708, and a non-volatile memory 710, and may also include hardware required for other functions. One or more embodiments of this specification may be implemented based on software, such as the processor 702 reading the corresponding computer program from the non-volatile memory 710 into the memory 708 and then running it. Of course, in addition to the software implementation, one or more embodiments of this specification do not exclude other implementations, such as logic devices or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.
[0065] Please refer to Figure 8, the enterprise travel budget determination device can be applied to Figure 7 The device shown is specifically applied to a travel service platform to implement the technical solution of this specification. The enterprise travel budget determination device may include: an acquisition unit 801, a change rate determination unit 802, a correction unit 803 and a budget determination unit 804. Among them, The acquisition unit 801 is configured to acquire the average value of historical travel expenses of the target enterprise in the target travel service field.
[0066] 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 determine the travel service price change rate in the target travel service field.
[0067] The correction unit 803 is configured to correct the historical travel expense mean according to the industry travel expense change rate and the travel service price change rate in the target travel service field, so as to obtain the predicted travel expense mean of the target enterprise in the target travel service field.
[0068] 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.
[0069] Optionally, the target travel service field includes at least two categories; The change rate determination unit 802 is specifically used to: determine the single-category industry travel expense change rate corresponding to each category in the target travel service field for the industry to which the target enterprise belongs, and determine the single-category travel service price change rate corresponding to each category in the target travel service field.
[0070] Optionally, the device further comprises: The preference weight acquisition unit 805 is configured to acquire the preference weights corresponding to each category of the target enterprise in the target travel service field, and the preference weights correspond to the proportion of the historical travel expenses spent by the target enterprise in each category in the target travel service field.
[0071] The correction unit 803 is specifically used for: performing weighted calculation 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 according to the preference weights corresponding to each category, to obtain a comprehensive price change rate; correcting the historical travel expense average based on the comprehensive price change rate to obtain the predicted travel expense average, and displaying the preference weight and the predicted travel expense average on the client of the travel service platform.
[0072] Optionally, the division dimensions of 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 place, service level, supplier; The device also includes: a dimension determination unit 806, which is configured to display multiple alternative dimensions on the client of the travel service platform; in response to a selection operation of at least one alternative dimension, determine the division dimensions of each category of the target travel service field.
[0073] Optionally, the travel scale includes the number of travelers and the travel frequency; the device further includes: The travel scale estimation unit 807 is configured to display a travel scale configuration page on the client of the travel service platform; determine the change rate of the number of travelers and the change rate of the travel frequency of the target enterprise in the target period in response to the configuration operation in the travel scale configuration page; based on the historical number of travelers and the historical travel frequency of the target enterprise, as well as the determined change rate of the number of travelers and the change rate of the travel frequency, calculate the estimated number of travelers and the estimated travel frequency of the target enterprise in the target period as the estimated travel scale of the target enterprise in the target period.
[0074] Optionally, the device further comprises: The comparison and display unit 808 is 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; and compare and display the historical travel data of the target enterprise and the historical industry travel data on the client of the travel service platform.
[0075] Optionally, the device further comprises: The suggestion display unit 809 is configured to calculate the difference between the historical travel data of the target enterprise and the historical industry travel data in preset indicators, and the preset indicators include at least one of the following: per capita travel expenses, average discount rate, excess rate, refund and change rate, and advance booking days; when the difference exceeds the preset difference threshold, a travel budget adjustment suggestion matching the difference is generated and displayed.
[0076] Optionally, 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 highlighted on the client of the travel service platform to distinguish it from other content in the travel budget adjustment suggestion.
[0077] Optionally, 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, which is used to directly configure the corresponding travel budget configuration item after being triggered.
[0078] 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 implements the steps of the method described in any of the above embodiments by running the executable instructions.
[0079] Based on the same concept as the above method, this specification also provides a computer-readable storage medium on which computer instructions are stored. When the instructions are executed by a processor, the steps of the method described in any of the above embodiments are implemented.
[0080] Based on the same concept as the above method, this specification also provides a computer program product, including a computer program / instruction, which implements the steps of the method described in any of the above embodiments when executed by a processor.
Claims
1. A method for determining an enterprise travel budget, characterized in that: Applied to a travel service platform, the method includes: Obtain the historical average travel expenses of the target enterprise in the target travel service field; Determine the rate of change of industry travel expenses of the industry to which the target enterprise belongs in the target travel service field, and determine the rate of change of travel service prices in the target travel service field; According to the travel expense change rate of the industry and the travel service price change rate of the target travel service field, the historical travel expense average is corrected to obtain the predicted travel expense average of the target enterprise in the target travel service field; The travel budget of the target enterprise is determined 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 within the target period.
2. The method according to claim 1, characterized in that 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 includes: determining the industry travel expense change rate of a single category corresponding to each category of the target travel service field; Determining the travel service price change rate in the target travel service field includes: determining the single-category travel service price change rate corresponding to each category in the target travel service field.
3. The method according to claim 2, characterized in that The method further includes: obtaining preference weights of the target enterprise corresponding to each category in the target travel service field, wherein the preference weights correspond to the proportions of historical travel expenses spent by the target enterprise on each category in the target travel service field; The historical travel expense average is corrected according to the industry travel expense change rate and the travel service price change rate in the target travel service field to obtain the predicted travel expense average of the target enterprise in the target travel service field, including: According to the preference weights corresponding to the categories, weighted calculation is performed on the change rates of the single-category industry travel expenses corresponding to the categories and the change rates of the single-category travel service prices corresponding to the categories to obtain a comprehensive price change rate; The historical travel expense average is corrected based on the comprehensive price change rate to obtain the predicted travel expense average, and the preference weight and the predicted travel expense average are displayed on the client of the travel service platform.
4. The method according to claim 2, 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 place, 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.
5. The method according to claim 1, characterized in that 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 the configuration operation in the travel scale configuration page, determining the change rate of the number of travelers and the 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 of the number of travelers and the rate of change of 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.
6. The method according to claim 1, characterized in that Also includes: Acquire the historical travel data of the target enterprise and the historical industry travel data of the industry to which the target enterprise belongs; The historical travel data of the target enterprise and the historical industry travel data are compared and displayed on the client of the travel service platform.
7. The method according to claim 6, characterized in that Also includes: Calculate the difference between the historical travel data of the target enterprise and the historical industry 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, refund 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.
8. The method according to claim 7, characterized in that The travel budget adjustment suggestion includes: the name of the travel budget configuration item that is recommended to be adjusted, 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.
9. The method according to claim 8, characterized in that The name of the travel budget configuration item is configured with a hyperlink, and the hyperlink 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.
10. A computer program product, characterized in that The method comprises a computer program / instruction, which, when executed by a processor, implements the steps of the method according to any one of claims 1 to 9.
Citation Information
Patent Citations
Business travel reimbursement management system
CN119294983A
Enterprise travel planning method and device based on artificial intelligence
CN119338204A
Enterprise business travel reservation fee control management system and method
CN119398948A
Budget management system
CN119578694A
Method and system for constructing model for predicting enterprise financial data
CN119647786A