Operation method and system based on 5G tariff value

Abstract

The invention discloses a 5G tariff value-based operation method and system, and belongs to the technical field of telecommunication. The method comprises the following steps: acquiring user data; obtaining tariff cost and tariff income according to the user data; and according to the tariff cost and the tariff income, obtaining tariff pricing and package combination. According to the invention, a set of system is established for analyzing consumption habits, preferences and demands of users and combining market trends and competition conditions to realize beforehand value optimization recommendation and in-event value change visualization of the 5G package and to improve the value and service of the package through an effective operation strategy afterwards. Through comprehensive consideration of 5G tariff cost and income conditions, tariff pricing and package combination are optimized, and profitability and competitiveness of operators are improved.

Description

Technical Field

[0001] The present invention relates to the field of telecommunications technology, and specifically relates to a method and system for 5G tariff value operation. Background Art

[0002] The prior art establishes a unified 5G tariff value monitoring model by integrating data such as comprehensive billing accounts, products, acceptance orders, marketing policies, and terminal costs. It forms three major types of business capabilities: pre-control, in-process intervention, and post-mortem review, and provides digital empowerment to front-end salespersons and managers.

[0003] The disadvantages of the prior art are described as follows:

[0004] 1) Existing patents only explain 5G tariff push, without reflecting the prediction, monitoring, and operation before and after 5G tariff value marketing, and the improvement of business value is not high;

[0005] 2) Existing patents cannot predict the value change when handling 5G tariffs, and cannot timely monitor the actual operation situation of the value after handling and the corresponding solutions. Summary of the Invention

[0006] The purpose of the present invention is to provide a method and system for 5G tariff value operation. By comprehensively considering operation data and user characteristics in different dimensions, personalized tariff plans are provided, and the effectiveness of the operation method is evaluated using data analysis and prediction models to achieve maximum 5G tariff revenue and user satisfaction.

[0007] To solve the above technical problems, the present invention provides a method for 5G tariff value operation, including:

[0008] Obtain user data;

[0009] Based on the user data, obtain the tariff cost and tariff revenue;

[0010] Based on the tariff cost and tariff revenue, obtain the tariff pricing and package combination.

[0011] Preferably, the user data includes user behavior information, consumption location information, and consumption time information;

[0012] The user behavior information includes consumption behavior, preferences, and demands.

[0013] Preferably, based on the user data, obtaining the tariff cost and tariff revenue specifically includes the following steps:

[0014] According to the consumption behavior, preferences, and demands of the user behavior information, classify the users to obtain user groups, and obtain the tariff cost and tariff revenue of the user groups;

[0015] Based on the consumption location information, obtain the user's consumption area, and acquire the tariff cost and tariff revenue of the user's consumption area;

[0016] Based on the consumption time information, obtain the user's consumption time period, and acquire the tariff cost and tariff revenue of the user's consumption time period.

[0017] Preferably, the user group includes high-consumption users, low-consumption users, and churned users.

[0018] Preferably, based on the tariff cost and tariff revenue, obtain the tariff pricing and package combination, which specifically includes the following steps:

[0019] Based on the tariff cost and tariff revenue of the user group, user consumption area, and user consumption time period, obtain the tariff pricing;

[0020] Based on the user consumption area, determine the regional consumption habits;

[0021] Based on the regional consumption habits, the requirements of user behavior information, and the tariff pricing, obtain the package combination.

[0022] Preferably, it further includes the following steps:

[0023] Based on the user's consumption behavior and preferences, obtain value-added services.

[0024] Preferably, it further includes the following steps:

[0025] Input the user data, tariff pricing, and package combination into the prediction model for prediction to obtain the prediction result;

[0026] Optimize the tariff pricing and package combination according to the prediction result.

[0027] The present invention also provides a system for 5G tariff value operation, including:

[0028] An acquisition module, used to acquire user data;

[0029] An analysis module, used to obtain the tariff cost and tariff revenue according to the user data;

[0030] A tariff optimization pricing module, used to obtain the tariff pricing and package combination according to the tariff cost and tariff revenue.

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] 1) Establish a set of systems that realize pre-value optimization recommendation of 5G packages, visualization of value changes during the process, and improvement of the value and service system of the package through effective operation strategies by analyzing the consumption habits, preferences, and needs of users, combined with market trends and competition situations.

[0033] 2) Optimize the tariff pricing and package combination by comprehensively considering the 5G tariff cost and revenue situation, so as to enhance the profitability and competitiveness of the operator. Description of the Drawings

[0034] The following further elaborates on the specific implementation manners of the present invention in conjunction with the drawings.

[0035] Figure 1 is a schematic flowchart of the method for value operation based on 5G tariffs of the present invention;

[0036] Figure 2 is a schematic flowchart of the promotion of value-added services;

[0037] Figure 3 is a schematic flowchart of real-time trial calculation. Specific Embodiments

[0038] Many specific details are set forth in the following description in order to provide a thorough understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific implementations disclosed below.

[0039] The terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of this specification. The singular forms "a", "the", and "said" used in one or more embodiments of this specification and the appended claims are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more of the associated listed items.

[0040] It should be understood that although the terms first, second, etc. may be used in one or more embodiments of this specification to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to determining".

[0041] The following further elaborates on the present invention in conjunction with the drawings:

[0042] The present invention provides a method for value operation based on 5G tariffs, including:

[0043] Obtain user data;

[0044] Based on user data, obtain the tariff cost and tariff revenue;

[0045] Based on the tariff cost and tariff revenue, obtain the tariff pricing and package combination.

[0046] Preferably, the user data includes user behavior information, consumption location information, and consumption time information;

[0047] User behavior information includes consumption behavior, preferences, and demands.

[0048] Preferably, based on user data, obtaining the tariff cost and tariff revenue specifically includes the following steps:

[0049] Classify users according to the consumption behavior, preferences, and demands of user behavior information to obtain user groups, and obtain the tariff cost and tariff revenue of the user groups;

[0050] Based on the consumption location information, obtain the user consumption area, and obtain the tariff cost and tariff revenue of the user consumption area;

[0051] Based on the consumption time information, obtain the user consumption time period, and obtain the tariff cost and tariff revenue of the user consumption time period.

[0052] Preferably, the user groups include high-consumption users, low-consumption users, and churned users.

[0053] Preferably, based on the tariff cost and tariff revenue, obtaining the tariff pricing and package combination specifically includes the following steps:

[0054] Based on the tariff cost and tariff revenue of the user group, user consumption area, and user consumption time period, obtain the tariff pricing;

[0055] Based on the user consumption area, determine the regional consumption habits;

[0056] Based on the regional consumption habits, the demands of user behavior information, and the tariff pricing, obtain the package combination.

[0057] Preferably, it further includes the following steps:

[0058] Based on the consumption behavior and preferences of the user, obtain value-added services.

[0059] Preferably, it further includes the following steps:

[0060] Input the user data, tariff pricing, and package combination into a prediction model for prediction to obtain a prediction result;

[0061] Optimize the tariff pricing and package combination according to the prediction result.

[0062] The present invention also provides a system for 5G tariff value operation, including:

[0063] An acquisition module, configured to acquire user data;

[0064] An analysis module, configured to obtain tariff costs and tariff revenues based on the user data;

[0065] A tariff optimization and pricing module, configured to obtain tariff pricing and package combinations based on the tariff costs and tariff revenues.

[0066] To better illustrate the technical effects of the present invention, the following specific embodiments are provided to illustrate the above technical processes:

[0067] Embodiment 1. A method for 5G tariff value operation, as Figure 1 shown; including:

[0068] 1. Tariff cost analysis: By analyzing the tariff cost situation of the operator, including costs in aspects such as network construction, operation and maintenance, customer service, as well as expenses such as tariff subsidies and preferential activities. The direct costs and indirect costs can be comprehensively considered to evaluate the cost-effectiveness of different tariffs.

[0069] 2. Revenue analysis: By analyzing the tariff revenue situation of the operator, including user consumption, value-added service revenue, roaming fees, etc. The revenue contributions and growth potentials of different user groups can be considered to evaluate the revenue potential and value of different tariffs.

[0070] 3. Tariff optimization and pricing: Based on the results of tariff cost and revenue analysis, optimize the tariff pricing and package combinations. Differentiated tariff strategies can be formulated according to the needs and consumption capabilities of different user groups to improve the user's willingness to pay and the operator's profitability.

[0071] 4. Real-time adjustment and optimization: According to the actual tariff costs and revenue situations, real-time adjust and optimize the tariff plan and package combinations. The tariff pricing and preferential activities can be flexibly adjusted according to market demands and competition situations to enhance the operator's market competitiveness and business effects.

[0072] The specific process is as follows:

[0073] I. Construct a 5G tariff value operation system: Dimension analysis

[0074] 1. User group dimension: According to the consumption behaviors, preferences and needs of users, divide users into different groups, such as high-consumption users, low-consumption users, churned users, etc. By analyzing the tariff costs and revenues of different groups, differentiated tariff strategies can be formulated to meet the needs of different user groups.

[0075] 2. Regional Dimension: There are differences in regional consumption habits and economic conditions in different regions. Therefore, different tariff plans need to be formulated according to regional characteristics. By analyzing the tariff costs and revenue situations in different regions, tariff pricing strategies for different regions can be determined to increase the willingness of regional users to pay and tariff revenue.

[0076] 3. Time Dimension: Users' consumption behaviors and demands may vary at different time periods. For example, the consumption activity is relatively high during specific holidays or events. By analyzing the tariff costs and revenue situations at different time periods, tariff preferential strategies for different time periods can be formulated to attract users to consume during specific time periods.

[0077] II. Constructing a 5G Tariff Value Operation System: Operation Methods

[0078] 1. Tariff Pricing Optimization: According to the results of dimension analysis, formulate differential tariff pricing strategies for different user groups, regions, and time periods. Through precise pricing, it can not only meet users' needs but also maximize tariff revenue.

[0079] 2. Package Combination Adjustment: According to regional consumption habits and demands, during the marketing activity planning process, match different sales product strategies according to the selected target customer groups, calculate the value evaluation results showing different sales strategies, such as the customer value improvement of different sales products, the historical success rate of sales products, etc., and return the value evaluation results to the business operation and service system. When configuring strategies, diverse recommended selections can be made, so as to provide more attractive and personalized tariff plans. For example, provide more data traffic and call durations for high-consumption users, and provide more preferential activities for low-consumption users.

[0080] 3. Promotion of Value-added Services: By promoting value-added services such as data traffic packages, international roaming, content subscriptions, etc., increase users' willingness to pay and consumption amounts. According to users' consumption behaviors and preferences, accurately push value-added services suitable for users to increase tariff revenue. As Figure 2 shown;

[0081] III. Constructing a 5G Tariff Value Operation System: Predicted Effects

[0082] By using data analysis and prediction models, the effects of different operation methods can be evaluated. The prediction models are time series models, regression models, or deep learning models. Utilize historical data and machine learning algorithms to predict users' payment behaviors and consumption habits, as well as the impact of tariff adjustments on tariff revenue. Through these prediction results, the best operation methods can be selected and adjusted and optimized in real time to achieve maximum tariff revenue and user satisfaction.

[0083] IV. Constructing a 5G Tariff Value Operation System: Overview of Real-time Calculation Capability, such as Figure 3As shown below:

[0084] 1. The capabilities are independently deployed, only reusing the existing system's charging, billing, tariffs, and related office data, with low coupling and no impact on production.

[0085] 2. Charging events and data are parsed based on request messages, with one calculation per case.

[0086] 3. Support trial calculations for the first month and full months, and return results in real time in the format of a bill.

[0087] In consideration of the actual production requirements, the present invention has the following usage effects:

[0088] 1) The present invention aims at the prediction, monitoring, and operation before and after the establishment of 5G tariff value marketing, which is an important manifestation of digital marketing capabilities and will be an important means and method to achieve business value improvement.

[0089] 2) The present invention focuses on solving the problem of no perception of value changes during 5G tariff handling and providing a solution for the lack of timely monitoring of the actual operation of the value after handling.

[0090] In several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules, units, or components is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units, modules, or components can be combined or integrated into another device, or some features can be ignored or not executed.

[0091] The unit may or may not be physically separated. The components shown as units can be one physical unit or multiple physical units, that is, they can be located in one place or distributed to multiple different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0092] In addition, the functional units in each embodiment of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0093] In particular, according to the embodiments disclosed in the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product that includes a computer program carried on a computer-readable medium, and the computer program includes program code for performing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section, and / or installed from a removable medium. When the computer program is executed by a central processing unit (CPU), the above-mentioned functions defined in the method of the present invention are performed. It should be noted that the above-mentioned computer-readable medium of the present invention can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above.

[0094] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0095] As described above, the above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed by the present invention should be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A method based on 5G tariff value operation, characterized in that: include: Get user data; Based on user data, obtain tariff costs and tariff revenues; Based on the tariff costs and tariff revenues, we get the tariff pricing and package combinations.

2. The method based on 5G tariff value operation according to claim 1, characterized in that: The user data includes user behavior information, consumption location information and consumption time information; User behavior information includes consumption behavior, preferences and needs.

3. The method based on 5G tariff value operation according to claim 2, characterized in that: According to the user data, the tariff cost and tariff income are obtained, which specifically includes the following steps: According to the consumption behavior, preferences and needs of user behavior information, users are classified to obtain user groups, and the tariff costs and tariff income of user groups are obtained; According to the consumption location information, the user's consumption area is obtained, and the tariff cost and tariff income of the user's consumption area are obtained; According to the consumption time information, the user's consumption time period is obtained, and the tariff cost and tariff income of the user's consumption time period are obtained.

4. The method based on 5G tariff value operation according to claim 3 is characterized in that: The user groups include high-consumption users, low-consumption users and lost users.

5. The method based on 5G tariff value operation according to claim 4, characterized in that: According to the tariff cost and tariff income, the tariff pricing and package combination are obtained, which specifically includes the following steps: Get tariff pricing based on tariff costs and tariff revenues by user group, user consumption area, and user consumption time period; Determine regional consumption habits based on user consumption areas; The package combination is obtained based on regional consumption habits, user behavior information needs and tariff pricing.

6. The method based on 5G tariff value operation according to claim 5, characterized in that: The following steps are also included: Get value-added services based on users' consumption behavior and preferences.

7. The method based on 5G tariff value operation according to claim 6, characterized in that: The following steps are also included: Input user data, tariff pricing and package combinations into the prediction model to obtain prediction results; Optimize tariff pricing and package combinations based on the prediction results.

8. A system based on 5G tariff value operation, used to implement the method based on 5G tariff value operation as described in any one of claims 1-7, characterized in that: include: Acquisition module, used to obtain user data; An analysis module is used to obtain tariff costs and tariff revenues based on user data; The tariff optimization pricing module is used to obtain tariff pricing and package combinations based on tariff costs and tariff revenues.

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