CN117993738A - E-business operation early warning method and system for multiple scenes - Google Patents
E-business operation early warning method and system for multiple scenes Download PDFInfo
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Abstract
The application discloses an e-commerce operation early warning method and system for multiple scenes. The method comprises the following steps: creating a first-level early warning rule according to an e-commerce operation scene, wherein the first-level early warning rule comprises one or more of an advertisement putting scene rule, a warehouse management scene rule and a sales monitoring scene rule; advertisement putting scene rules and warehouse management scene rules, and a plurality of second-level early warning rules containing different marketing indexes; sales monitoring scene rules comprising a plurality of second-level early warning rules for measuring data performance of the same marketing index in different time periods; acquiring marketing data based on an e-commerce platform, and matching the marketing data with a first-level early warning rule; and if the marketing data meets the early warning conditions, generating early warning information for display. The application can avoid false triggering of the early warning information under the specific electronic market scene, and timely trigger the early warning information at different time phases of the same electronic market scene, thereby improving the accuracy of the electronic market operation early warning.
Description
Technical Field
The application relates to the technical field of computers, in particular to an e-commerce operation early warning method and system for multiple scenes.
Background
The e-commerce ERP system accesses and controls a store of the e-commerce platform through a set rule, processes dynamic data of each link of store operation, manages numerous and complicated data, and meets the operation convenience requirements of multiple types of users; therefore, all functional modules of the existing commercial ERP system are in the stage of gradually updating and perfecting functions, the function algorithms and rules formulated by all software enterprises when the software enterprises develop from the ERP system of the household appliances are basically different, and all functional modules continuously develop new versions along with the change of the user demands so as to be compatible with more use scenes.
In the current e-commerce activities, the early warning mode of the e-commerce ERP system cannot execute corresponding early warning according to the characteristics of different scenes, such as a new product promotion scene and a conventional commodity promotion scene, and analysis early warning is executed aiming at a single advertising cost marketing index, so that early warning information is triggered by errors in the new product promotion scene which can bear higher advertising cost; and, the e-commerce ERP system cannot correspondingly adjust the early warning judgment conditions aiming at different stages under the same scene, so that early warning information cannot be triggered in time.
Disclosure of Invention
The invention mainly aims to provide an e-commerce operation early warning method and system for multiple scenes, which aim to mutually assist in verification through a plurality of early warning rules, execute early warning according to the characteristics of specific e-commerce scenes, avoid the situation that early warning information is triggered by mistake and ensure timely triggering of the early warning information.
In order to achieve the above purpose, the present application provides an e-commerce operation early warning method and system for multiple scenarios, applied to an early warning message module of an e-commerce ERP system, the method comprising:
Step S1: creating a first-level early warning rule according to an e-commerce operation scene, wherein the first-level early warning rule comprises one or more of an advertisement putting scene rule, a warehouse management scene rule and a sales monitoring scene rule; the advertisement putting scene rule and the warehouse management scene rule respectively comprise a plurality of second-level early warning rules of different marketing indexes; the sales monitoring scene rules comprise a plurality of second-level early warning rules for measuring data performance of the same marketing index in different time periods;
step S2: acquiring marketing data based on an e-commerce platform, and matching the marketing data with the first-level early warning rule;
Step S3: if the marketing data meets the early warning conditions, generating early warning information corresponding to the first-level early warning rule, and displaying the early warning information; the early warning conditions include: the marketing data meets a plurality of second-level early warning rules of the advertisement putting scene rule or the warehouse management scene rule, and the marketing data meets any second-level early warning rule of the sales monitoring scene rule.
Additional features and technical effects of the present application are set forth in the description that follows. The technical problem solving thought and related product design scheme of the application are as follows:
At present, an e-commerce ERP system cannot distinguish different e-commerce scenes in the early warning analysis process; for example, when early warning judgment is performed on whether advertisement investment is too high, analysis early warning is performed only for advertisement cost, and a new product popularization scene and a conventional commodity sales scene cannot be distinguished in the analysis early warning process, so that an early warning mode is not accurate enough, and early warning information is triggered by errors under the normal operation condition in the new product popularization scene. In addition, the current early warning mode analyzes and early warns aiming at a single marketing index, so that the early warning adaptability is limited, for example, sales volume is compared with a preset constant for commodity sales volume monitoring, dynamic monitoring of sales volume change of commodities at different stages cannot be realized, and early warning information cannot be sent out timely.
The applicant finds that by setting a plurality of second-level early-warning rules respectively containing different marketing indexes to form a first-level early-warning rule, different E-commerce scenes can be effectively distinguished in the early-warning process, so that the early-warning effect which meets the actual operation requirements of the E-commerce is achieved. For example, by creating a plurality of sub-rules respectively corresponding to commodity online time, commodity sales volume change trend and advertisement cost, the early warning rule formed by the plurality of sub-rules can effectively distinguish two e-commerce scenes of new commodity popularization and conventional commodity popularization. The reason for distinguishing the two electronic market scenes is that in the early stage of new product promotion, more advertisement investment is generally required to improve the exposure degree of the new product and the acceptance of the new product by the user, and the higher advertisement cost is acceptable by the seller at the moment, namely when the market feedback of the new product is gradually improved, even if the advertisement cost is higher, the advertisement cost also belongs to the normal operation range and does not need to trigger early warning; for the popularization of conventional commodities, since the familiarity degree of the commodities in the market is high, a large amount of advertisements are not required to be input, and a low advertisement cost threshold value can be set as an early warning condition. In the early warning rule, the commodity online time rule is used for distinguishing new commodities from conventional commodities, and the commodity sales change trend rule is used for measuring market feedback of the commodities. On the basis, when the advertisement putting scene rule is applied to the new product popularization scene, the early warning information is triggered only when the commodity online time, commodity sales volume change trend and advertisement cost contained in the advertisement putting scene rule are respectively corresponding to a plurality of second-level early warning rules, namely, the situation that the new product cannot obtain better market feedback after higher advertisement input is comprehensively judged, but the early warning information cannot be realized by the existing early warning mode for analyzing and early warning aiming at a single marketing index is judged. Therefore, a first-level early-warning module is arranged in the E-business operation early-warning system, and the first-level early-warning module comprises an advertisement rule module for advertising promotion scenes and is used for creating early-warning rules for executing advertisement investment monitoring.
In addition, the applicant also finds that by setting a plurality of second-level early-warning rules for respectively measuring the data performance of the same marketing index in different time periods to form a first-level early-warning rule, dynamic monitoring can be performed according to the characteristics of the same scene in different stages, and early-warning information is ensured to be triggered in time. For example, for commodity sales monitoring, as commodity changes along with online time, sales targets or sales change trends which need to be achieved also change, at this time, corresponding constants are respectively set for a plurality of preset time points to serve as thresholds for measuring whether commodity sales are normal or not, dynamic monitoring of commodity sales can be achieved, and early warning information can be timely triggered when abnormality exists in each time period of commodity sales. In contrast, the existing early warning mode adopts a single sales marketing index as an early warning condition in the whole time period, and the difference of the early warning conditions of the commodity sales at different stages cannot be found, so that early warning information cannot be triggered in time when the commodity sales are abnormal. Therefore, the first-level early-warning module further comprises a sales volume rule module for creating early-warning rules for executing dynamic monitoring of sales volume of the commodity.
In this way, by setting the first-level early warning rule formed by the plurality of second-level early warning rules, the first-level early warning rule corresponds to the actual electric market scene, and can execute targeted early warning according to different electric market scenes or different time phases of the same electric market scene, so that false triggering of early warning information under a specific electric market scene is avoided, early warning information is triggered timely in different time phases of the same electric market scene, the accuracy of electric business operation early warning is improved, and personalized operation early warning requirements of users are met.
The application also provides a system which is an e-commerce ERP system or an e-commerce platform system, and the system can execute the operation instructions of the steps of the method.
The application also provides a server, which comprises a memory and a processor, wherein the system is stored in the memory, and the processor can run the operation instructions of the steps of the method.
The application also provides a computer device comprising a memory, a processor, the system of the application being stored in the memory, the processor being operable to execute the operating instructions of the method steps of the application.
Referring to fig. 1, the e-commerce ERP system of the present application includes one or more of a commodity module, a sales module, a purchasing module, a logistics module, a warehouse module, a financial module, an advertisement module, a customer service module, a tool module, an order management module, an early warning message module, and other functional modules, where each functional module may be mutually fused, may exist independently, or may be a sub-module of one functional module as another functional module. The users of the ERP system of the present application may also be referred to as store managers, sellers, operators, etc., whose identities are not strictly defined except as specifically stated.
Drawings
The accompanying drawings are included to provide a further understanding of the application, and are not to be construed as limiting the application; the content shown in the drawings can be real data of the embodiment, and belongs to the protection scope of the application.
Fig. 1 is a schematic diagram of functional modules of an e-commerce ERP system according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of an early warning message module according to an embodiment of the application.
Fig. 3 is a schematic flow chart of steps of an e-commerce operation early warning method for multiple scenarios according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the following detailed description of the embodiments of the present application is given with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Fig. 2 is a schematic structural diagram of an early warning message module according to an embodiment of the present application, where the early warning message module includes a first-level early warning module, a data acquisition module, a rule matching module, an information modification module, and an information display module. Specifically, the first-level early warning module is used for creating a first-level early warning rule according to the electronic commerce scene; the data acquisition module is used for acquiring marketing data required by executing analysis and early warning on the electronic commerce platform; the rule matching module is used for matching the marketing data with the first-level early warning rule and determining whether the early warning condition is met or not; the information modification module is used for filtering and modifying the early warning information according to the data authority of the notification object; the information display module is used for sending and displaying the early warning information.
Fig. 3 is a schematic flow chart of an e-commerce operation early warning method for multiple scenes according to an embodiment of the present application, as shown in fig. 3, the e-commerce operation early warning method for multiple scenes mainly includes the following steps S1 to S3.
Step S1: creating a first-level early warning rule according to an e-commerce operation scene, wherein the first-level early warning rule comprises one or more of an advertisement putting scene rule, a warehouse management scene rule and a sales monitoring scene rule; the advertisement putting scene rule and the warehouse management scene rule respectively comprise a plurality of second-level early warning rules of different marketing indexes; the sales monitoring scene rules comprise a plurality of second-level early warning rules for measuring data performance of the same marketing index in different time periods;
step S2: acquiring marketing data based on an e-commerce platform, and matching the marketing data with the first-level early warning rule;
Step S3: if the marketing data meets the early warning conditions, generating early warning information corresponding to the first-level early warning rule, and displaying the early warning information; the early warning conditions include: the marketing data meets a plurality of second-level early warning rules of the advertisement putting scene rule or the warehouse management scene rule, and the marketing data meets any second-level early warning rule of the sales monitoring scene rule.
Specifically, the application provides an e-commerce operation early warning method for multiple scenes, wherein an e-commerce ERP system creates a first-level early warning rule according to an e-commerce operation scene under the operation of a user, and the first-level early warning rule comprises an advertisement putting scene rule for monitoring advertisement putting, a warehouse management scene rule for monitoring warehouse management and logistics and a sales monitoring scene rule for monitoring commodity sales. The advertisement putting scene rule and the warehouse management scene rule are composed of a plurality of second-level early warning rules respectively containing different marketing indexes, and the early warning conditions of the advertisement putting scene rule and the warehouse management scene rule can be achieved only when the second-level early warning rules are met; the sales monitoring scene rule is composed of a plurality of second-level early warning rules for respectively measuring the data expression of the same marketing index in different time periods, and when any second-level early warning rule is met, the sales monitoring scene rule is regarded as the abnormality of commodity sales, and the early warning condition of the sales monitoring scene rule is reached. And if the marketing data acquired from the e-commerce platform meets the early warning conditions of the first-level early warning rule, generating corresponding early warning information and displaying the early warning information.
In this way, by setting the first-level early warning rule formed by the plurality of second-level early warning rules, the first-level early warning rule corresponds to the actual electric market scene, and can execute targeted early warning according to different electric market scenes or different time phases of the same electric market scene, so that false triggering of early warning information under a specific electric market scene is avoided, early warning information is triggered timely in different time phases of the same electric market scene, the accuracy of electric business operation early warning is improved, and personalized operation early warning requirements of users are met.
The following describes in detail each method step in the e-commerce operation early warning method for multiple scenarios.
Step S1: creating a first-level early warning rule according to an e-commerce operation scene, wherein the first-level early warning rule comprises one or more of an advertisement putting scene rule, a warehouse management scene rule and a sales monitoring scene rule; the advertisement putting scene rule and the warehouse management scene rule respectively comprise a plurality of second-level early warning rules of different marketing indexes; the sales monitoring scene rule comprises a plurality of second-level early warning rules for measuring data performance of the same marketing index in different time periods.
Specifically, under user operation, the e-commerce ERP system creates a first-level early warning rule according to an e-commerce operation scene, wherein the first-level early warning rule comprises an advertisement putting scene rule for monitoring advertisement putting, a warehouse management scene rule for monitoring warehouse management and logistics and a sales monitoring scene rule for monitoring commodity sales. It can be appreciated that according to the construction features of the second-level early warning rules of the actual electronic marketplace Jing Queding, the first-level early warning rules formed by the plurality of second-level early warning rules can perform accurate early warning for the actual electronic marketplace.
Step S2: and acquiring marketing data based on an e-commerce platform, and matching the marketing data with the first-level early warning rule.
Specifically, the e-commerce ERP system acquires marketing data corresponding to an operation store on an e-commerce platform, and then matches the marketing data with a first-level early warning rule to determine whether to trigger early warning information.
Step S3: if the marketing data meets the early warning conditions, generating early warning information corresponding to the first-level early warning rule, and displaying the early warning information; the early warning conditions include: the marketing data meets a plurality of second-level early warning rules of the advertisement putting scene rule or the warehouse management scene rule, and the marketing data meets any second-level early warning rule of the sales monitoring scene rule.
Specifically, for the advertisement putting scene rule and the warehouse management scene rule, in order to distinguish different early warning requirements under specific e-commerce scenes, calibration and verification of a plurality of second-level early warning rules are required in the early warning process, so that early warning information is prevented from being triggered by errors; and setting corresponding constants for a plurality of preset time points to serve as thresholds for measuring whether commodity sales are normal or not according to sales monitoring scene rules, dynamic monitoring of commodity sales can be achieved, and when any second-level early warning rule is met, namely the commodity sales are abnormal in any time period, early warning information is triggered timely.
Further, in an embodiment, the advertisement delivery scene rule includes a plurality of second-level early warning rules corresponding to the online time of the commodity, the commodity sales volume variation trend, and the advertisement cost respectively.
Specifically, the commodity online time rule is used for distinguishing new commodities from conventional commodities, the commodity sales volume change trend rule is used for measuring market feedback of the commodities, and the advertisement cost rule is used for measuring whether advertisement delivery exceeds budget. The commodity online time rule, the commodity sales volume change trend rule and the advertisement cost rule are mutually calibrated and verified, when the advertisement putting scene rule is applicable to a new product popularization scene, the early warning information is triggered only when the commodity online time, the commodity sales volume change trend and the advertisement cost contained in the advertisement putting scene rule are respectively corresponding to a plurality of second-level early warning rules, namely, the situation that the new product cannot obtain better market feedback after higher advertisement input is comprehensively judged, but the early warning information cannot be realized by the existing early warning mode of analyzing and early warning aiming at a single marketing index. Therefore, the advertisement putting scene rule provided by the embodiment can distinguish the new product promotion scene from the conventional commodity promotion scene, and avoids the situation that the early warning information is triggered by mistake.
Further, in an embodiment, the warehouse management scenario rule includes a plurality of second-level early warning rules corresponding to a number of days of available inventory, a number of ages of the commodity warehouse, and a preset time sales respectively.
Specifically, when early warning is executed for a warehouse management related scene, whether to trigger related early warning information such as a diapause process, an allocation process and the like can be judged according to judging conditions including the number of days of sales in inventory, the age of commodity warehouse and the preset time sales, air transport turnover time, sea transport turnover time, amazon logistics (FBA) inventory and the like.
Further, in an embodiment, the sales monitoring scenario rule includes a plurality of second-level early warning rules corresponding to sales of a plurality of preset time points of the monitored commodity.
Specifically, the second-level early warning rules corresponding to a plurality of time nodes such as "3-day sales = 0, fba inventory >0", "7-day sales = 0, fba inventory >0", "14-day sales <5, fba inventory >0", "21-day sales <10, fba inventory >0", "30-day sales <15, fba inventory >0" are set to dynamically monitor sales of the commodity, and at this time, the early warning mode is matched with characteristics of the commodity in different time periods after sales, so that early warning information can be triggered in time when sales abnormality exists.
As a feasible implementation mode, sales volume monitoring scene rules are combined with big data technology, and relevant parameters of the sales volume monitoring scene rules are set based on big data, so that early warning accuracy can be further improved. For example, average sales volume change data of a certain type of commodity in big data is obtained, a functional relation a between sales time T and sales volume S is calculated in a simulation mode according to the sales volume change data, and second-level early warning rules corresponding to a plurality of time nodes are set based on the functional relation a: time of sale T1< sales S1, s1=a (T1); time of sale T2< sales S2, s2=a (T2); time of sale T3< sales S3, s3=a (T3); and so on. And when the commodity sales volume meets the second-level early warning rule of any time node, confirming that the commodity sales volume data meets the early warning condition of the sales volume monitoring scene rule, and generating and displaying corresponding early warning information.
It will be appreciated that the change in sales of the product after sale is not a linear relationship, but rather there is a law. For example, the commercial product has low advertisement investment, low commercial product exposure degree and low familiarity and acceptance of the commercial product in the market within 3-10 days after sales, so that sales volume of the commercial product may be low, even the sales volume is 0, and at this time, the sales volume threshold value should be set to be a low value in the early warning rule; with the change of time, the exposure degree of the commodity is rapidly increased, the familiarity and acceptance degree of the market to the commodity are gradually increased, the commodity sales curve shows the characteristic of nonlinear rapid increase, and at the moment, the sales threshold value is set to be a higher value in the early warning rule. Therefore, the second-level early warning rule of the sales monitoring scene rule is set based on big data, and the early warning threshold can be set by combining the current market form and sales characteristics of commodities in each time period, so that the early warning threshold has timeliness, early warning information can be triggered in time when sales of commodities are abnormal in any time period, and timeliness and accuracy of sales early warning are greatly improved.
In contrast, the existing early warning mode adopts a single sales marketing index as an early warning condition in the whole time period, for example, commodity sales <100 is set as an early warning rule of a fixed interval time period after commodity sales, and the early warning condition cannot be set according to sales characteristics of commodity sales in different time periods, so that early warning information cannot be triggered in time when the commodity sales are abnormal, and the early warning information can be triggered by errors due to neglecting market factors in the current time period, such as poor economic situation, market demand reduction, policy change and the like.
Further, in an embodiment, the step S1 includes the following steps S1.1 to S1.3.
Step S1.1: integrating formula elements for generating a second-level early warning rule based on a formula editor, wherein the formula elements comprise marketing indexes, condition symbols and operation symbols;
step S1.2: responding to a rule setting instruction, and combining the formula elements to generate a second-level early warning rule;
step S1.3: and combining a plurality of second-level early warning rules to create a first-level early warning rule according to the E-business operation scene.
Specifically, the applicant finds that the authority of selecting marketing indexes and symbols is given to the user in the process of setting the early warning conditions in the e-commerce ERP system, and the user is allowed to automatically create sub-rules for forming the early warning rules, so that the degree of freedom of setting the early warning conditions can be effectively improved, the personalized early warning requirements of the user are met, and the e-commerce ERP system is more suitable for the complex e-commerce scene without being limited by a single marketing index preset in the system.
Based on the above, the e-commerce ERP system can select marketing indexes such as commodity sales, advertisement cost, FBA inventory and the like through a formula editor based on user operation, then combine the marketing indexes with logic condition symbols or four arithmetic symbols to form a formula, set the formula as a second-level early warning rule, and combine a plurality of second-level early warning rules to form a first-level early warning rule.
On the basis, the single second-level early warning rule comprises a plurality of different marketing indexes, so that finer operation factors can be reflected, and a more accurate early warning effect can be achieved. For example, based on a second-level early warning rule with a percentage value of advertisement investment/sales change of less than 20% in a formula, the influence of advertisement investment and sales can be measured, so that whether early warning is needed or not can be judged directly through the angle of advertisement benefits; the conventional early warning mode can only be used as a single marketing index as a measurement standard of early warning according to advertisement investment, and can laterally prove advertisement benefits after combining other marketing indexes, so that the operation difficulty of a user is reduced, and a more accurate early warning effect is realized.
Further, on the basis of the above embodiment, step S1.2 includes steps S1.21 to S1.23 as follows.
Step S1.21: combining the formula elements to generate an original formula;
Step S1.22: performing a formula check against the raw formulas;
Step S1.23: if the verification is successful, the original formula is set as a second-level early warning rule.
Specifically, when the user sets the formula of the second-level early warning rule, there may be a situation that the formula is set with errors, for example, four arithmetic symbols are absent between two marketing indexes, logical condition symbols are absent between a marketing index and a constant, two logical condition symbols exist in the formula, and the like, so that before the formula created by the user is set as the second-level early warning rule, verification needs to be performed on the formula, thereby ensuring that the early warning purpose can be successfully achieved.
Further, on the basis of the above embodiment, after step S1.22, the method further includes the following steps S1.24 and S1.25.
Step S1.24: if the verification fails, determining a verification failure reason corresponding to the original formula, wherein the verification failure reason comprises that the number of formula elements is wrong and the positions of the formula elements are wrong;
step S1.25: and generating modification prompt information corresponding to the type of the verification failure reason.
Specifically, when the verification of the formula fails, the e-commerce ERP system displays the reasons for the failure of the verification of the formula on a page of the edited formula, for example, the reasons include that four arithmetic symbols are absent between two marketing indexes, logical condition symbols are absent between the marketing indexes and constants, two logical condition symbols exist in the formula, and corresponding modification prompts are generated, such as prompting to add the four arithmetic symbols, adding the logical condition symbols, deleting repeated logical condition symbols and the like, at specific positions, so that the time required by a user to determine the reasons for the failure of the verification of the formula is reduced, and the user is facilitated to modify and perfect the formula.
Further, in an embodiment, the displaying the early warning information in step S3 includes the following step S3.1.
Step S3.1: and folding the early warning information on a first-level early warning information button according to the classification of the E-business operation scene, and displaying the first-level early warning information button.
Specifically, after triggering the early warning information, the current e-commerce ERP system displays a plurality of pieces of early warning information in a message notification column according to the generation time sequence, so that message stacking is easy to cause, and the reading efficiency of a seller user is affected. In this embodiment, after the marketing data satisfies the early warning condition to generate the early warning information, the early warning information is classified according to the first-level early warning rule, and is folded and stored in the first-level early warning information button corresponding to the first-level early warning rule. Because the first-level early warning rule corresponds to the electronic commerce scene, a user can quickly select relevant early warning information of the electronic commerce scene with higher attention degree to view.
On the basis, the plurality of pieces of early warning information are stored in the corresponding second-level early warning information buttons, and the second-level early warning information buttons correspond to the second-level early warning rules. In actual operation, the early warning message display interface displays a plurality of first-level early warning information buttons, after clicking a certain first-level early warning information button, the interface displays a plurality of second-level early warning information buttons included in the first-level early warning information button, and after clicking a certain second-level early warning information button, the interface displays a plurality of pieces of early warning information meeting the second-level early warning information buttons.
Therefore, the method changes the existing mode of displaying the early warning information according to the arrangement of the monitoring objects or the marketing indexes, but classifies, folds and displays the early warning information according to the early warning rules, optimizes the display structure of the early warning information, avoids the occurrence of information stacking, and reduces the difficulty of processing the early warning information for a seller user.
Further, in an embodiment, the step S3 of displaying the early warning information includes the following steps S3.21 to S3.23.
Step S3.21: determining a notification object corresponding to the early warning information, and determining the data authority of the notification object;
step S3.22: filtering and modifying the early warning information according to the data authority to obtain preset early warning information;
step S3.23: and sending the preset early warning information to the notification object, and displaying the preset early warning information.
Specifically, for the e-commerce seller, there are generally a plurality of operators or responsible persons managing stores/sites, and each of the operators or responsible persons has different degrees of data authority and can only view the store/site data that has authority. In this embodiment, before the relevant information about each monitoring object, such as a store or a website, is sent to the corresponding notification object account, filtering modification is performed on the early warning information according to the data authority of the notification object, so as to obtain preset early warning information only retaining the information content corresponding to the data authority of the notification object, and the early warning information is displayed to the notification object, so that the early warning information is prevented from revealing the data information exceeding the authority, and the data security is ensured.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the scope of the application, and all equivalent modifications made by the present application and the accompanying drawings, or direct/indirect application in other related technical fields are included in the scope of the present application.
Claims (10)
1. An e-commerce operation early warning method for multiple scenes, which is applied to an early warning message module of an e-commerce ERP system, is characterized by comprising the following steps:
Step S1: creating a first-level early warning rule according to an e-commerce operation scene, wherein the first-level early warning rule comprises one or more of an advertisement putting scene rule, a warehouse management scene rule and a sales monitoring scene rule; the advertisement putting scene rule and the warehouse management scene rule respectively comprise a plurality of second-level early warning rules of different marketing indexes; the sales monitoring scene rules comprise a plurality of second-level early warning rules for measuring data performance of the same marketing index in different time periods;
step S2: acquiring marketing data based on an e-commerce platform, and matching the marketing data with the first-level early warning rule;
Step S3: if the marketing data meets the early warning conditions, generating early warning information corresponding to the first-level early warning rule, and displaying the early warning information; the early warning conditions include: the marketing data meets a plurality of second-level early warning rules of the advertisement putting scene rule or the warehouse management scene rule, and the marketing data meets any second-level early warning rule of the sales monitoring scene rule.
2. The method for multi-scenario e-commerce operation pre-warning of claim 1, wherein the advertisement delivery scenario rules comprise a plurality of second-level pre-warning rules corresponding to commodity online time, commodity sales volume variation trend and advertisement cost respectively.
3. The method for multi-scenario e-commerce operation pre-warning of claim 1, wherein the warehouse management scenario rules comprise a plurality of second-level pre-warning rules corresponding to the number of days in which the inventory is available, the age of the commodity warehouse, and the amount of the preset time sales, respectively.
4. The method for multi-scenario e-commerce operation pre-warning according to claim 1, wherein the sales monitoring scenario rule comprises a plurality of second-level pre-warning rules corresponding to sales of a plurality of preset time points of the monitored commodity.
5. The method for multi-scenario e-commerce operation pre-warning of claim 1, wherein creating the first level pre-warning rule according to the e-commerce operation scenario of step S1 comprises:
Step S1.1: integrating formula elements for generating a second-level early warning rule based on a formula editor, wherein the formula elements comprise marketing indexes, condition symbols and operation symbols;
step S1.2: responding to a rule setting instruction, and combining the formula elements to generate a second-level early warning rule;
step S1.3: and combining a plurality of second-level early warning rules to create a first-level early warning rule according to the E-business operation scene.
6. The method for multi-scenario e-commerce operation pre-warning of claim 5, wherein step S1.2 comprises:
Step S1.21: combining the formula elements to generate an original formula;
Step S1.22: performing a formula check against the raw formulas;
Step S1.23: if the verification is successful, the original formula is set as a second-level early warning rule.
7. The method for multi-scenario e-commerce operation pre-warning of claim 6, further comprising, after step S1.22:
step S1.24: if the verification fails, determining a verification failure reason corresponding to the original formula, wherein the verification failure reason comprises that the number of formula elements is wrong and the positions of the formula elements are wrong;
step S1.25: and generating modification prompt information corresponding to the type of the verification failure reason.
8. The method for multi-scenario e-commerce operation pre-warning of claim 1, wherein displaying the pre-warning information of step S3 comprises:
Step S3.1: and folding the early warning information on a first-level early warning information button according to the classification of the E-business operation scene, and displaying the first-level early warning information button.
9. The method for multi-scenario e-commerce operation pre-warning of claim 1, wherein displaying the pre-warning information of step S3 comprises:
step S3.21: determining a notification object corresponding to the early warning information, and determining the data authority of the notification object;
step S3.22: filtering and modifying the early warning information according to the data authority to obtain preset early warning information;
step S3.23: and sending the preset early warning information to the notification object, and displaying the preset early warning information.
10. An e-commerce operation early warning system, characterized in that the system is an e-commerce ERP system or an e-commerce platform system, and the system is configured to execute an operation instruction included in the e-commerce operation early warning method for multiple scenarios according to any one of claims 1 to 9.
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