CN110796453A - E-commerce club member grade processing method and device - Google Patents
E-commerce club member grade processing method and device Download PDFInfo
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Abstract
The embodiment of the disclosure relates to a method and a device for processing the grade of an e-commerce club member. The method comprises the following steps: acquiring first member information of a first member, and determining portrait information of the first member according to the first member information; determining an integral rule corresponding to the first member from a mapping table containing preset different image information and corresponding integral rules according to the image information; determining the image information of the member by acquiring the member information, and determining the integral rule of the member by the image information to set the member grade of the member according to the integral rule. The method can improve the accuracy of member grade setting and improve the data processing efficiency to a certain extent aiming at different members.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of e-commerce meeter information management, in particular to a method and a device for processing e-commerce meeter grades.
Background
With the rapid development of electronic commerce in China, the transaction scale of the retail market of China is getting larger and larger. The rapid expansion of the online shopping user scale lays a good user foundation for the development of the online shopping market, and releases huge market potential. And at the same time, the operation capability of the e-commerce is also required to be more demanding and challenging.
In the related art, the e-commerce management system can manage registered members, such as card-based network marketing promotion, activity promotion, and the like. However, in the management of e-commerce members, the members are not managed well in a hierarchical manner, so that the pertinence of member management is lacked, and the time for member management is increased. Accordingly, there is a need to ameliorate one or more of the problems with the related art solutions described above.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
An object of the embodiments of the present disclosure is to provide a method and an apparatus for e-commerce negotiable staff level processing, which overcome one or more of the problems due to the limitations and disadvantages of the related art, at least to a certain extent.
According to a first aspect of the embodiments of the present disclosure, there is provided an e-commerce member level processing method, including:
acquiring first member information of a first member, and determining portrait information of the first member according to the first member information;
determining an integral rule corresponding to the first member from a mapping table containing preset different image information and corresponding integral rules according to the image information;
and setting the member level of the first member according to the determined integration rule of the first member.
In an exemplary embodiment of the present disclosure, different image information associations correspond to different integration rules.
In an exemplary embodiment of the present disclosure, further comprising:
acquiring second member information of a second member, and determining portrait information of the second member according to the second member information;
determining the similarity between the image information of the second member and the image information of the first member;
and when the similarity is determined to be less than or equal to a preset threshold value, setting the member level of the second member according to the point rule of the first member.
In an exemplary embodiment of the present disclosure, the step of setting the member level of the first member according to the determined integration rule of the first member includes:
and determining the point of the first member according to the point rule, and adjusting the current member level of the first member to the member level corresponding to the preset point level condition when the point of the first member meets the preset point level condition.
In one exemplary embodiment of the present disclosure, the first member information and the second member information include at least an age, an annual income, an economic risk value, and a position of the member.
In an exemplary embodiment of the present disclosure, the pictorial information is used to characterize consumption behavior preferences of the member.
In an exemplary embodiment of the present disclosure, the step of obtaining the first member information of the first member includes:
and acquiring first member information of the first member in response to a preset operation on a member management user interface.
According to a second aspect of the embodiments of the present disclosure, there is provided an e-trader level processing apparatus including:
the member portrait module is used for acquiring first member information of a first member and determining portrait information of the first member according to the first member information;
the rule determining module is used for determining an integral rule corresponding to the first member from a mapping table containing preset different portrait information and corresponding integral rules according to the portrait information;
and the grade setting module is used for setting the member grade of the first member according to the determined point rule of the first member.
According to a third aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the e-commerce member level processing method described in any one of the above embodiments.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the steps of the e-commerce member level processing method in any one of the above embodiments via execution of the executable instructions.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
in an embodiment of the disclosure, according to the method and the device for processing the e-commerce member level, the image information of the member is determined by acquiring the member information, the point rule of the member is determined by the image information, and the member level of the member is set according to the point rule. The method can improve the accuracy of member grade setting and improve the data processing efficiency to a certain extent aiming at different members.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
FIG. 1 is a flow chart illustrating an e-commerce attendee level processing method in an exemplary embodiment of the present disclosure;
FIG. 2 is a flow chart illustrating an e-commerce attendee level processing method in an exemplary embodiment of the present disclosure;
FIG. 3 shows a schematic diagram of an e-trader level processing apparatus in an exemplary embodiment of the present disclosure;
FIG. 4 illustrates a program product schematic in an exemplary embodiment of the disclosure;
fig. 5 shows a schematic diagram of an electronic device in an exemplary embodiment of the disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The exemplary embodiment first provides an e-commerce member level processing method, which may be applied to a terminal device, such as a mobile terminal, e.g., a mobile phone, a personal digital assistant, a notebook computer, a tablet computer, or a server. Referring to fig. 1, the method may include the steps of:
step S101: the method comprises the steps of obtaining first member information of a first member, and determining portrait information of the first member according to the first member information.
Step S102: determining an integration rule corresponding to the first member from a mapping table containing different preset image information and corresponding integration rules according to the image information.
Step S103: and setting the member level of the first member according to the determined integration rule of the first member.
According to the E-commerce member grade processing method, the image information of the member is determined by acquiring the member information, the integral rule of the member is determined by the image information, and the member grade of the member is set according to the integral rule. The method can improve the accuracy of member grade setting and improve the data processing efficiency to a certain extent aiming at different members.
Hereinafter, each step of the above-described e-trader ranking processing method in the present exemplary embodiment will be described in more detail with reference to fig. 1 to 3.
In step S101, first member information of a first member is acquired, and portrait information of the first member is determined based on the first member information.
For example, in a member management system, first member information of a first member, such as information of the member's age, annual income, economic risk value, position, date of birth, etc., is obtained, without limitation, and then portrait information of the member is determined according to the obtained first member information, the portrait information can be expressed by collecting, aggregating and analyzing personal information, and analyzing or predicting personal characteristics of a specific natural person, such as its occupation, economy, health, education, personal preference, credit, behavior, etc., to form a personal characteristic model thereof, in this embodiment, the portrait information of the member mainly represents the characteristic information of the member determined by the analysis of the first member information, so as to represent different types of members, such as high net value and common member, and integration rules can be set specifically, attracting member users.
In step S102, an integration rule corresponding to the first member is determined from a mapping table containing different preset image information and corresponding integration rules according to the image information.
For example, according to the determined member portrait information, for example, the portrait information can determine that the member is a high-net member according to the member information, the point rule corresponding to the high-net member is found from a mapping table of different portrait information and corresponding point rules preset in the system, such that the consumer belongs to a member with high economic and consuming capabilities, and therefore, the point rule can be set specifically, for example, a certain point is accumulated to buy one or more coupons of a certain luxury store, and the luxury store can push the coupons of the consumer visiting more stores through big data processing according to the daily browsing footprint of the member, and particularly, a plurality of flexibly variable point rules can be set according to actual market research without limitation.
If the image information can determine that the member is a common/general member according to the member information, finding a point rule corresponding to the common member from a mapping table of different image information and corresponding point rules preset in a system, wherein the consumer consumption capacity of the point rule is general, therefore, the point rule can be set in a pertinence manner that a certain point is accumulated, a voucher of one or more common shops can be purchased, and the shop is analyzed through big data to visit more shops for the member; and the expiration date of the point may be increased in order to develop the member as a permanent member. Specifically, a plurality of flexible and variable integration rules can be set according to actual conditions, and are not limited herein.
And the member management system updates the member portrait information regularly and adjusts the corresponding point rule sent by each member in time, so that the service for the members is more targeted, and the efficiency of member management can be enhanced to a certain extent.
In step S103, a membership grade of the first member is set according to the determined integration rule of the first member.
For example, after the integration rule of the member is determined to be completed through the member image information, in order to increase the enjoyment of the member in shopping, provide a targeted service for the member client, and improve the processing efficiency of member management in order to perform hierarchical management on the member, the member level of the member needs to be set according to the integration rule corresponding to the member, for example, when the integration of the member reaches a preset integration value, the level of the member client can be upgraded, but not limited thereto, that is, the member level of the member is upgraded not only by means of integration, but also by, for example, when a client consumes an amount of money within a preset time period, the level of the member client can be upgraded, or when a client completes a preset number of orders within a preset time period, the level of the member client can be upgraded, and particularly set according to actual situations, and are not intended to be limiting herein.
Specifically, a plurality of level rules are set in the member management system, and if the member user satisfies the plurality of rules at the same time, the following execution method may be adopted to assign a level to the member: 1. taking a rule which is satisfied firstly, and when the system detects according to the serial number sequence of the rules, if detecting that a certain rule is satisfied, the following rules can not be detected again, and the level of the member is upgraded; 2. taking one of all the rules which satisfy the maximum result to execute, namely the system detects all the rules, and selecting one of the one or more rules which satisfy the maximum result to execute, wherein if the rule is selected and the given score is more in which rule, the score given by the rule is selected to improve the grade of the member; 3. taking all accumulated executions, i.e. detecting all rules, and one or more satisfied accumulated executions, it can be understood that if the rule is adopted, the system will give the scores of each satisfied rule in an overlapping manner, so as to promote the level of the member.
In one embodiment, different portrait information associations correspond to different integration rules.
For example, the image information of the member mainly represents the feature information of the member determined by the analysis of the first member information to indicate that different types of members, for example, high net value and common member have different integration rules, and the integration rules can be set specifically to attract the member user, so that different image information is associated with different integration rules.
In one embodiment, the processing method further comprises:
step S104, acquiring second member information of a second member, and determining the portrait information of the second member according to the second member information.
Step S105, determining the similarity between the image information of the second member and the image information of the first member.
And step S106, when the similarity is determined to be less than or equal to a preset threshold value, setting the member level of the second member according to the point rule of the first member.
For example, in the member management system, second member information of a second member, such as information of the member's age, annual income, economic risk value, position, date of birth, etc., is acquired, without limitation, and then portrait information of the member is determined based on the acquired second member information; and comparing the obtained image information of the second member with the obtained image information of the first member, namely determining the similarity between the image information of different members, and setting a similarity threshold value in the member management system, wherein if the similarity difference between the image information of different members is greater than or equal to the preset threshold value, the member grade of the second member can be set according to the integration rule of the first member, which means that the image information between the first member and the second member is not greatly different, so that the first member and the second member can adopt the same integration rule, and also can determine that the second member should select the corresponding grade rule according to the member grade rule selected by the first member. By adopting the method, not only can the member be managed in a targeted manner, but also the data processing efficiency of member management can be further improved.
In one embodiment, the step S103 of setting the member level of the first member according to the determined point rule of the first member further includes the step S1031 of determining the point of the first member according to the point rule, and adjusting the current member level of the first member to the member level corresponding to the preset point level condition when the point of the first member meets the preset point level condition.
For example, in order to increase the enjoyment of a member in shopping, provide a targeted service for a member client, and facilitate hierarchical management of the member, and improve the data processing efficiency in member management, the member level of the member needs to be set according to the point rule corresponding to the member, for example, when the point of the member reaches a preset integration value, the level of the member client can be upgraded, but the invention is not limited thereto.
In one embodiment, the first member information and the second member information include at least an age, an annual income, an economic risk value, and a position of the member.
For example, the first member information or the second member information may include at least information such as an age, an annual income, an economic risk value, a position, a date of birth, and the like of the member, and the member information may be obtained according to an actual situation, which is not limited herein.
In one example, the pictorial information is used to characterize the consumption behavior preferences of the member. The member image information represents the feature information of the member determined based on the first member information analysis, so as to represent that the integration rules of different types of members, such as high net value members and common members, are different, and the integration rules can be set in a targeted manner, thereby attracting member users.
In one embodiment, the step of acquiring the first member information of the first member in step S101 includes: in step S1011, first member information of the first member is obtained in response to a preset operation on a member management user interface.
For example, in a system interface such as member management, information of all members is displayed on the member management interface, for example, the interface displays buttons such as member operation, member aggregation, and rights and interests, if a user clicks on a member aggregation page, information related to basic information of all members is seen, and the administrator can obtain the member information of the member by operation, but the invention is not limited thereto.
According to the E-commerce member grade processing method, the image information of the member is determined by acquiring the member information, the integral rule of the member is determined by the image information, and the member grade of the member is set according to the integral rule. The method can improve the accuracy of member grade setting and improve the data processing efficiency to a certain extent aiming at different members.
It should be noted that although the various steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that these steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc. Additionally, it will also be readily appreciated that the steps may be performed synchronously or asynchronously, e.g., among multiple modules/processes/threads.
Further, in the present exemplary embodiment, an e-trader level processing apparatus is also provided. Referring to FIG. 3, the processing device may include a member representation module, a rule determination module, and a rank setting module.
The member portrait module is used for acquiring first member information of a first member and determining portrait information of the first member according to the first member information.
The rule determining module is used for determining the integral rule corresponding to the first member from a mapping table containing different preset portrait information and corresponding integral rules according to the portrait information.
And the grade setting module is used for setting the member grade of the first member according to the determined point rule of the first member.
In one embodiment, different portrait information associations correspond to different integration rules.
In one embodiment, the method further comprises the steps of obtaining second member information of a second member, and determining portrait information of the second member according to the second member information; determining the similarity between the image information of the second member and the image information of the first member; and when the similarity is determined to be less than or equal to a preset threshold value, setting the member level of the second member according to the point rule of the first member.
In one embodiment, the step of setting the member level of the first member according to the determined point rule of the first member includes determining a point of the first member according to the point rule, and adjusting the current member level of the first member to a member level corresponding to a preset point level condition when the point of the first member meets the preset point level condition.
In one embodiment, the first member information and the second member information include at least an age, an annual income, an economic risk value, and a position of the member.
In one embodiment, the pictorial information is used to characterize the consumption behavior preferences of the member.
In one embodiment, the step of obtaining the first member information of the first member includes obtaining the first member information of the first member in response to a preset operation on a member management user interface.
According to the E-commerce member grade processing method and device, the image information of the member is determined by acquiring the member information, the integral rule of the member is determined by the image information, and the member grade of the member is set according to the integral rule. The method can improve the accuracy of member grade setting and improve the data processing efficiency to a certain extent aiming at different members.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units. The components shown as modules or units may or may not be physical units, i.e. may be located in one place or may also be distributed over a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the wood-disclosed scheme. One of ordinary skill in the art can understand and implement it without inventive effort.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium is further provided, on which a computer program is stored, which when executed by, for example, a processor, may implement the steps of the e-commerce member level processing method described in any one of the above embodiments. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section of the e-commerce conference level processing method of the present description, when said program product is run on the terminal device.
Referring to fig. 4, a program product 300 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In an exemplary embodiment of the present disclosure, there is also provided an electronic device, which may include a processor, and a memory for storing executable instructions of the processor. Wherein the processor is configured to perform the steps of the e-commerce member level processing method in any one of the above embodiments via execution of the executable instructions.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 600 according to this embodiment of the invention is described below with reference to fig. 5. The electronic device 600 shown in fig. 5 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the electronic device 600 is embodied in the form of a general purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 that connects the various system components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.
Wherein the storage unit stores program code executable by the processing unit 610 to cause the processing unit 610 to perform steps according to various exemplary embodiments of the present invention described in the above section of the e-trader level processing method of the present specification. For example, the processing unit 610 may perform the steps as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203.
The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
Bus 630 may be one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 600, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 650. Also, the electronic device 600 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via the bus 630. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, or a network device, etc.) to execute the above-mentioned e-commerce salesman level processing method according to the embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. An e-commerce member level processing method, characterized by comprising:
acquiring first member information of a first member, and determining portrait information of the first member according to the first member information;
determining an integral rule corresponding to the first member from a mapping table containing preset different image information and corresponding integral rules according to the image information;
and setting the member level of the first member according to the determined integration rule of the first member.
2. The processing method of claim 1, wherein different image information associations correspond to different integration rules.
3. The processing method of claim 2, further comprising:
acquiring second member information of a second member, and determining portrait information of the second member according to the second member information;
determining the similarity between the image information of the second member and the image information of the first member;
and when the similarity is determined to be less than or equal to a preset threshold value, setting the member level of the second member according to the point rule of the first member.
4. A processing method according to any one of claims 1 to 3, wherein the step of setting the membership grade of the first member according to the determined integration rule of the first member comprises:
and determining the point of the first member according to the point rule, and adjusting the current member level of the first member to the member level corresponding to the preset point level condition when the point of the first member meets the preset point level condition.
5. The processing method according to claim 4, wherein the first member information and the second member information include at least an age, an annual income, an economic risk value, and a position of the member.
6. The processing method as claimed in claim 4, wherein the profile information is used to characterize consumption behavior preferences of the member.
7. The processing method as recited in claim 4, wherein the step of obtaining the first member information of the first member comprises:
and acquiring first member information of the first member in response to a preset operation on a member management user interface.
8. An e-commerce member level processing apparatus, comprising:
the member portrait module is used for acquiring first member information of a first member and determining portrait information of the first member according to the first member information;
the rule determining module is used for determining an integral rule corresponding to the first member from a mapping table containing preset different portrait information and corresponding integral rules according to the portrait information;
and the grade setting module is used for setting the member grade of the first member according to the determined point rule of the first member.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the e-commerce membership grade processing method according to any one of claims 1 to 7.
10. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the steps of the e-trader level processing method as defined in any of claims 1 to 7 via execution of the executable instructions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910942647.9A CN110796453A (en) | 2019-09-30 | 2019-09-30 | E-commerce club member grade processing method and device |
Applications Claiming Priority (1)
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| CN113887762A (en) * | 2021-10-22 | 2022-01-04 | 浙江云启信息技术有限公司 | Dynamic point management method, system and storage medium for garbage classification |
| CN114202371A (en) * | 2022-02-17 | 2022-03-18 | 广州幸运游戏科技有限公司 | Electronic membership card management method, system and computer storage medium |
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