Enterprise digital management method and system based on salesperson sharing

Abstract

The embodiment of the present invention provides a method and system for digital management of an enterprise based on salesperson sharing, which belongs to the field of digital management technology. The method includes: obtaining a first user evaluation corresponding to an initial user, and determining a user feature corresponding to the initial user according to the first user evaluation; clustering the initial user according to the user feature to obtain a user set, the user set including a target user and related users corresponding to the target user; obtaining a target salesperson corresponding to the target user, and obtaining a target product corresponding to the target salesperson; obtaining related salespersons corresponding to related users, and obtaining related products corresponding to the related salespersons; calculating the degree of association between the target product and the related products, and obtaining a target association value; determining a first role access right corresponding to the target salesperson according to the target association value, and determining a second role access right corresponding to the related salesperson according to the target association value.

Description

Technical Field

[0001] The present invention relates to the field of digital management technology, and in particular to an enterprise digital management method and system based on salesperson sharing. Background Art

[0002] In today's digitally managed business environment, a trading platform for plastic products is built based on upstream and downstream companies in the industrial chain, and then salesmen recommend relevant products to users on the platform based on customer needs. However, due to different permissions, salesmen can access different products and serve different areas on the platform. Therefore, salesmen cannot master the information of all products. However, if salesmen master all product information, it will greatly increase their workload. Therefore, the method of fixedly setting salesmen's permissions in related technologies ignores the ability of salesmen to share product resources and customer resource information, and thus cannot effectively utilize the trading platform, reducing the competitiveness of the trading platform. Summary of the invention

[0003] The main purpose of the embodiments of the present invention is to provide an enterprise digital management method and system based on salesperson sharing, aiming to solve the problem that the method of fixedly setting salesperson permissions in related technologies ignores the ability to share product resources and customer resource information between salespersons, and thus cannot effectively utilize the trading platform, thereby reducing the competitiveness of the trading platform.

[0004] In a first aspect, an embodiment of the present invention provides an enterprise digital management method based on salesperson sharing, including:

[0005] Obtaining a first user evaluation corresponding to an initial user, and determining a user feature corresponding to the initial user according to the first user evaluation;

[0006] Perform user clustering on the initial users according to the user characteristics to obtain a user set, where the user set includes a target user and related users corresponding to the target user;

[0007] Obtaining a target salesperson corresponding to the target user, and obtaining a target product corresponding to the target salesperson;

[0008] Obtaining the relevant salesperson corresponding to the relevant user, and obtaining the relevant product corresponding to the relevant salesperson;

[0009] Calculating the degree of association between the target product and the related products to obtain a target association value;

[0010] A first role access permission corresponding to the target salesperson is determined according to the target association value, and a second role access permission corresponding to the relevant salesperson is determined according to the target association value.

[0011] In a second aspect, an embodiment of the present invention provides an enterprise digital management system based on salesperson sharing, including:

[0012] An evaluation analysis module, used to obtain a first user evaluation corresponding to an initial user, and determine a user feature corresponding to the initial user according to the first user evaluation;

[0013] A user clustering module, configured to cluster the initial users according to the user characteristics to obtain a user set, wherein the user set includes a target user and related users corresponding to the target user;

[0014] A first data acquisition module is used to obtain a target salesperson corresponding to the target user, and obtain a target product corresponding to the target salesperson;

[0015] A second data acquisition module is used to obtain the relevant salesperson corresponding to the relevant user, and obtain the relevant product corresponding to the relevant salesperson;

[0016] A correlation calculation module, used to calculate the correlation degree between the target product and the related products to obtain a target correlation value;

[0017] The permission setting module is used to determine the first role access permission corresponding to the target salesperson according to the target association value and determine the second role access permission corresponding to the relevant salesperson according to the target association value.

[0018] In a third aspect, an embodiment of the present invention further provides a terminal device, comprising a processor, a memory, a computer program stored in the memory and executable by the processor, and a data bus for realizing connection and communication between the processor and the memory, wherein when the computer program is executed by the processor, the steps of any one of the enterprise digital management methods based on salesperson sharing provided in the specification of the present invention are realized.

[0019] In a fourth aspect, an embodiment of the present invention further provides a storage medium for computer-readable storage, characterized in that the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement any step of the enterprise digital management method based on salesperson sharing as provided in the specification of the present invention.

[0020] The embodiment of the present invention provides a method and system for digital management of an enterprise based on salesperson sharing, the method comprising: obtaining a first user evaluation corresponding to an initial user, and determining a user feature corresponding to the initial user according to the first user evaluation; clustering the initial user according to the user feature to obtain a user set, the user set including a target user and related users corresponding to the target user; obtaining a target salesperson corresponding to the target user, and obtaining a target product corresponding to the target salesperson; obtaining a related salesperson corresponding to the related user, and obtaining a related product corresponding to the related salesperson; calculating the degree of association between the target product and the related product, and obtaining a target association value; determining a first role access right corresponding to the target salesperson according to the target association value and determining a second role access right corresponding to the related salesperson according to the target association value. The method can understand the preferences and behavioral characteristics of the initial user through the first user evaluation, thereby providing support for subsequent permission settings. Clustering users according to similar features can help find related users similar to the target user, thereby obtaining a target salesperson corresponding to the target user and a target product corresponding to the target salesperson, and obtaining a related salesperson corresponding to the related user and a related product corresponding to the related salesperson, thereby evaluating the correlation between the target product and the related product through the association value, and more accurately obtaining products that the target salesperson or the related salesperson can also sell, thereby improving cross-selling. Finally, the access rights of different roles are assigned according to the associated values, so that salesmen can focus on serving the areas they are best at, improving customer satisfaction and follow-up efficiency. This solves the problem that the fixed setting of salesmen's rights in related technologies ignores the ability of salesmen to share product resources and customer resource information, and thus cannot effectively utilize the trading platform, reducing the competitiveness of the trading platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 A flow chart of a method for digital management of an enterprise based on salesperson sharing provided in an embodiment of the present invention;

[0023] Figure 2 A schematic diagram of the module structure of an enterprise digital management system based on salesperson sharing provided in an embodiment of the present invention;

[0024] Figure 3 A schematic block diagram of the structure of a terminal device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0027] It should be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0028] The embodiment of the present invention provides a method and system for digital management of an enterprise based on salesperson sharing. The method and system for digital management of an enterprise based on salesperson sharing can be applied to a terminal device, which can be an electronic device such as a tablet computer, a laptop computer, a desktop computer, a personal digital assistant, and a wearable device. The terminal device can be a server or a server cluster.

[0029] It should be noted that in the embodiment of the present application, each salesperson recommends relevant products to users according to customer needs through the plasticized product trading platform. The plasticized product trading platform is divided into salespersons of the self-operated party and the affiliated party. The salespersons of the self-operated party include the full-time salespersons of the self-operated party, the city partners (CP) of the self-operated party, and the personal partners (IP) of the self-operated party. The salespersons of the affiliated party include the full-time salespersons of the affiliated party, the city partners (CP) of the affiliated party, and the personal partners (IP) of the affiliated party.

[0030] Each salesperson has corresponding role access rights. The salesperson's role access rights are converted according to the products he or she is good at selling and the area where the products are located. For example, a self-operated full-time salesperson can become a city partner (CP) of a joint venture, a full-time salesperson of a joint venture can become a city partner (CP) of the self-operated, and full-time salespeople between joint ventures can become each other's city partners (CP), thereby achieving the purpose of sharing salesperson customer resources.

[0031] Among them, each salesperson has corresponding role access rights:

[0032] Full-time salesperson on the self-operated side: has the highest authority, can access all platform functions and data, and is responsible for direct transactions and sales with customers;

[0033] Self-operated party's city partner (CP): As a self-operated party's partner, it has higher authority and can access specific areas or customer resources to assist full-time sales staff in promoting sales;

[0034] The self-employed individual partner (IP): As a personal recommendation officer, with relatively low authority, he is mainly responsible for recommending potential customers to full-time salesmen and obtaining commissions after the transaction is completed;

[0035] Full-time salesperson of the joint venture party: has similar authority as the full-time salesperson of the self-operated party, and is responsible for the sales and transactions of the joint venture party;

[0036] Affiliate City Partner (CP): Similar to the self-operated city partner, it has access to specific areas or customer resources;

[0037] Individual Partner (IP) of the Associate: Similar to the individual partner of the Self-operated Party, it mainly recommends customers and obtains commissions, and has relatively low authority.

[0038] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0039] Please refer to Figure 1 , Figure 1 A flowchart of a method for digital management of an enterprise based on salesperson sharing is provided in accordance with an embodiment of the present invention.

[0040] like Figure 1 As shown, the enterprise digital management method based on salesperson sharing includes steps S101 to S106.

[0041] Step S101: Obtain a first user evaluation corresponding to an initial user, and determine a user feature corresponding to the initial user according to the first user evaluation.

[0042] Exemplarily, the evaluation results of the initial user on different products or different salespersons are obtained from the database, and then the evaluation results are determined as the first user evaluation corresponding to the initial user. For example, the first user evaluation may include evaluation content such as product quality, service attitude, and satisfaction.

[0043] Exemplarily, the first user evaluation is subjected to text standardization processing, such as removing punctuation marks, converting uppercase and lowercase letters, extracting stems, etc., so as to obtain keywords corresponding to the first user evaluation, that is, obtain keywords corresponding to the initial user, and the keywords are represented by vectors to obtain user features corresponding to the initial user.

[0044] In some embodiments, determining the user characteristics corresponding to the initial user based on the first user evaluation includes: labeling the initial user based on the first user evaluation to obtain an initial label corresponding to the initial user; determining a label feature matrix corresponding to the initial user based on the initial label; calculating the difference between different labels using the label feature matrix to obtain a label feature difference corresponding to the initial label; merging labels based on the label feature difference to obtain a target label corresponding to the initial user; and determining the user characteristics corresponding to the initial user based on the target label.

[0045] Exemplarily, keyword extraction or sentiment analysis is performed on the first user's evaluation to obtain an initial label corresponding to the initial user, and then the initial label is vectorized to obtain a label feature matrix, in which each row represents an initial user and each column represents an initial label.

[0046] For example, the difference calculation of the label feature matrix can be performed using various distance measurement methods (such as Euclidean distance, Manhattan distance, cosine similarity, etc.) to measure the difference of label features between different initial users and obtain the label feature difference. Thus, similar labels are merged according to the label feature difference to form a more representative and general target label.

[0047] Exemplarily, the target label is represented by a vector so as to determine the user feature corresponding to the initial user.

[0048] Specifically, converting the first user evaluation into a label can more intuitively represent the user's preferences and characteristics, which is convenient for subsequent processing and analysis. The label feature matrix can clearly express each user's preferences and evaluations under different labels, providing a data basis for subsequent analysis. By calculating the differences in label features between different users, it provides support for the subsequent merging of labels into target labels, making subsequent analysis more efficient and accurate.

[0049] In some embodiments, determining the user characteristics corresponding to the initial user based on the target tag includes: obtaining a second user evaluation corresponding to the target tag from the first user evaluation; obtaining an evaluation time corresponding to the second user evaluation, and determining the tag bias corresponding to the target tag based on the evaluation time; determining the tag activity corresponding to the target tag based on the number of evaluations corresponding to the second user evaluation; obtaining the associated products corresponding to the second user evaluation, and determining the product status corresponding to the associated products; determining the tag volatility corresponding to the target tag based on the product status; and determining the user characteristics corresponding to the initial user based on the tag bias, the tag activity, and the tag volatility.

[0050] Exemplarily, the second user evaluation related to the target tag is obtained from the first user evaluation, and then the evaluation time corresponding to the second user evaluation is obtained. Considering that the target tag will undergo a small range of feature changes accompanied by time variables in the constant change, the feature attenuation and interest feature deviation corresponding to the target tag will occur, and the label bias corresponding to the target tag is determined according to the evaluation time. The label bias is used to characterize the degree of deviation of the user feature corresponding to the initial user of the target tag. The closer the evaluation time is to the current time, the smaller the label bias and the smaller the deviation; the farther the evaluation time is from the current time, the greater the label bias and the greater the deviation.

[0051] For example, the number of evaluations involving the target tag in the second user evaluation is counted to determine the tag activity. The number of evaluations can reflect the frequency of use of the evaluation content related to the target tag by the initial user, thereby determining the tag activity corresponding to the target tag.

[0052] Exemplarily, the product evaluated by the initial user using the second user's evaluation is determined as the associated product corresponding to the second user's evaluation, and the product status corresponding to the associated product is obtained from the database. The product status includes but is not limited to sales volume, user feedback, etc., and then the label volatility of the corresponding target label is dynamically adjusted according to the product status. The level of label volatility can reflect the degree of influence of the target label on user characteristics in different time periods or under different product states. For example, when the product status is in good sales or user feedback is positive, the label volatility can be small, and when the product status is in poor sales or user feedback is downward, the label volatility can be large.

[0053] Exemplarily, the vector features corresponding to the target tag are fused in combination with the tag bias, tag activity, and tag volatility to determine the user features of the initial user.

[0054] Specifically, by obtaining the second user's evaluation, we can have a more comprehensive understanding of the initial user's attitude and usage of the target tag, providing more data support for subsequent analysis. By analyzing the evaluation time, we can determine the tag bias of the target tag in different time periods, and determine the tag activity through the number of evaluations, which can reflect the user's attention to the tag and the frequency of use. By associating the status changes of the product, we can determine the tag volatility of the target tag, that is, the degree of influence of the target tag in different time periods or under different product states. Therefore, by combining tag bias, tag activity, and tag volatility, we can more accurately characterize the user's target tag, and then obtain more accurate user characteristics, providing good support for the subsequent adjustment of the salesperson's authority.

[0055] In some embodiments, determining the user feature corresponding to the initial user according to the tag bias, the tag activity, and the tag volatility includes: determining a first weight and a second weight; fusing the tag bias, the tag activity, and the tag volatility according to the first weight and the second weight to obtain a target weight corresponding to the target tag; performing vector fusion according to the target weight and the tag vector corresponding to the target tag to obtain the user feature corresponding to the initial user; wherein the target weight is obtained according to the following formula:

[0056] ;

[0057] M represents the target weight, α represents the first weight, ε represents the second weight, Indicates the label bias, Indicates the activity of the tag, Indicates the tag volatility.

[0058] For example, the values ​​of the first weight and the second weight are determined by data analysis or expert experience, and these weights can be adjusted and optimized according to specific scenarios and requirements. The first weight and the second weight are used to fuse the tag bias, tag activity, and tag volatility, and the target weight of the target tag can be obtained using the following formula:

[0059] ;

[0060] M represents the target weight, α represents the first weight, ε represents the second weight, Indicates label bias, Indicates the activity of the tag. Indicates the label volatility.

[0061] Exemplarily, a target weight corresponding to each target tag is obtained, and then the target weight is multiplied and summed with the tag vector of the target tag to obtain a user feature vector of the initial user.

[0062] Specifically, by integrating tag bias, tag activity, and tag volatility, we can comprehensively consider the time span and change trend of the target tag, so as to obtain the target weight corresponding to the target tag when determining user characteristics. Then, based on the target weight and target tag, we can more accurately describe user characteristics and provide a more reliable basis for subsequent permission settings.

[0063] Step S102: clustering the initial users according to the user characteristics to obtain a user set, where the user set includes a target user and related users corresponding to the target user.

[0064] Exemplarily, using the user features obtained in the previous step, a suitable clustering algorithm, such as K-means clustering, hierarchical clustering or density clustering, is selected to perform clustering operations on the user features, and the initial users are divided into different groups, thereby obtaining a user set. The user set includes at least two initial users, and the user set includes a target user and related users corresponding to the target user.

[0065] Step S103: obtaining a target salesperson corresponding to the target user, and obtaining a target product corresponding to the target salesperson.

[0066] For example, different salesmen can access or sell different products on the platform. In order to maximize the salesmen's sales ability or business processing ability, the target salesmen corresponding to the target users in the user set are obtained, that is, the target salesmen are the salesmen who introduce or sell products to the target users.

[0067] Exemplarily, after the target salesperson corresponding to the target user is obtained, the target products that the target salesperson can sell or contact on the platform are obtained.

[0068] Step S104: obtaining the relevant salesperson corresponding to the relevant user, and obtaining the relevant product corresponding to the relevant salesperson.

[0069] Exemplarily, the relevant salesperson corresponding to the relevant user in the user set is obtained, that is, the relevant salesperson is a salesperson who introduces or sells products to the relevant user.

[0070] For example, after obtaining the relevant salesperson corresponding to the relevant user, the relevant products that the relevant salesperson can sell or contact on the platform are obtained.

[0071] Step S105: Calculate the correlation degree between the target product and the related products to obtain a target correlation value.

[0072] For example, when the target salesperson sells or introduces products to the target user and the related salesperson introduces products to the related users, the possibility of closing a transaction is different, that is, different salespersons have different sales capabilities for different products. Then, the first sales situation of the target product corresponding to the target salesperson and the second sales situation of the related product corresponding to the related salesperson. When the first sales situation and the second sales situation are similar, it indicates that the target correlation value between the target product and the related product is large, and the target salesperson may also have the authority to sell the related product, and the related salesperson may also have the authority to sell the target product.

[0073] Exemplarily, relative to opening up permissions for similar products to salesmen, the present application obtains target association values ​​based on the degree of association between target products and related products corresponding to target users and related users by different salesmen, and can determine different products that may correspond to the same or similar user groups, thereby providing support for the subsequent expansion of the salesmen's product permissions while ensuring the salesmen's sales capabilities.

[0074] In some embodiments, the calculation of the degree of association between the target product and the related products to obtain a target association value includes: obtaining a first sales time corresponding to the latest transaction of the target product by the target salesperson and a second sales time corresponding to the latest transaction of the related product by the related salesperson; determining an influence factor between the target product and the related product based on the first sales time and the second sales time; obtaining a first product introduction corresponding to the target product and a second product introduction corresponding to the related product; performing similarity calculation based on the first product introduction and the second product introduction to obtain an initial association value between the target product and the related product; and adjusting the initial association value based on the influence factor to obtain the target association value between the target product and the related product.

[0075] Exemplarily, the latest transaction time of the target product by the target salesperson is obtained from the transaction record and determined as the first sales time, and the latest transaction time of the relevant product by the relevant salesperson is obtained from the transaction record and determined as the second sales time.

[0076] Exemplarily, the influence factor between the target product and the related products is determined according to the length of the interval between the first sales time and the second sales time.

[0077] Exemplarily, a first product introduction of a target product is obtained, including but not limited to information such as product features, functions, and advantages, and a second product introduction of a related product is obtained, including but not limited to information such as product features, functions, and advantages.

[0078] For example, a similarity calculation method such as cosine similarity, Jaccard similarity, etc. is used to calculate the similarity between the first product introduction and the second product introduction, thereby obtaining an initial correlation value. The initial correlation value is then adjusted according to the influencing factor to reflect the impact of the sales time interval on the product correlation, thereby obtaining a target correlation value.

[0079] Specifically, the initial correlation between the target product and related products is quantified by calculating the similarity of product introductions, making the correlation more objective and comparable. The initial correlation is adjusted by sales time interval to obtain a more accurate target correlation value between the target product and related products, providing good support for the subsequent opening of salesperson permissions.

[0080] In some embodiments, determining the impact factor between the target product and the related products according to the first sales time and the second sales time includes: determining the time interval between the target product and the related products according to the first sales time and the second sales time; determining the target time difference according to the time information of successful sales of the same type of products by different salesmen under the same authority; when the time interval is greater than or equal to the target time difference, determining the impact factor according to the target time difference and the time interval; when the time interval is less than the target time difference, determining the impact factor as a fixed value; wherein the impact factor is obtained according to the following formula:

[0081] ;

[0082] ;

[0083] mc represents the target time difference, K represents the total quantity of the same type of products, and L represents the quantity of salesmen. represents the absolute time difference between the x-th salesperson’s success in selling product i and the y-th salesperson’s success in selling product i; θ represents the time interval, Δ represents a constant, represents the impact factor.

[0084] Exemplarily, the time interval between the target product and the related products is calculated based on the first sales time and the second sales time. The time information of successful sales of the same type of products by different salesmen under the same authority is analyzed to determine the target time difference, that is, the reasonable sales time difference under the same conditions.

[0085] Exemplarily, the target time difference is calculated according to the following formula:

[0086] ;

[0087] Among them, mc represents the target time difference, K represents the total number of products of the same type, and L represents the number of salesmen. It represents the absolute time difference between the x-th salesperson’s successful sales of product i and the y-th salesperson’s successful sales of product i.

[0088] For example, when the time interval is greater than or equal to the target time difference, it indicates that the time interval exceeds the target time difference, and it is considered that the time interval is too long, and the influence or correlation value between the target product and the related product needs to be attenuated, and the influence factor is obtained according to the following formula:

[0089] ;

[0090] Where mc represents the target time difference, θ represents the time interval, and Δ represents a constant. Represents the impact factor.

[0091] Exemplarily, when the time interval is less than the target time difference, the impact factor is set to a fixed value, for example, a fixed value of 1, indicating that the time interval meets the target time difference and the impact or correlation value between the target product and the related products does not need to be attenuated.

[0092] Specifically, the influencing factor is determined based on the time interval and the target time difference, so that a more accurate degree of correlation between the target product and related products can be obtained, which can provide an accurate reference for the subsequent adjustment of the salesperson's authority.

[0093] Step S106: determining the first role access permission corresponding to the target salesperson according to the target association value and determining the second role access permission corresponding to the relevant salesperson according to the target association value.

[0094] Exemplarily, when the target association value is greater than or equal to the preset value, the sales authority corresponding to the relevant product is assigned to the target salesperson, thereby obtaining the first role access authority corresponding to the target salesperson. At the same time, the sales authority corresponding to the target product is assigned to the relevant salesperson, thereby obtaining the second role access authority corresponding to the relevant salesperson.

[0095] Exemplarily, when the target association value is less than a preset value, the current authority corresponding to the target salesperson is determined as the first role access right, and at the same time, the current authority corresponding to the relevant salesperson is determined as the second role access right.

[0096] In some embodiments, determining the first role access rights corresponding to the target salesperson according to the target association value and determining the second role access rights corresponding to the relevant salesperson according to the target association value include: determining a preset association value, and when the target association value is greater than or equal to the preset association value, obtaining the first product area corresponding to the relevant product, and obtaining the first role access rights corresponding to the target salesperson based on the relevant product and the first product area; obtaining the second product area corresponding to the target product, and obtaining the second role access rights corresponding to the relevant salesperson based on the target product and the second product area.

[0097] Exemplarily, a preset association value is determined based on historical experience or expert experience, and then the target association value is compared with the preset association value. When the target association value is greater than or equal to the preset association value, the first product area corresponding to the relevant product is obtained, and the first product area represents the area where the relevant product can be sold. Then, the sales authority corresponding to the relevant product and the first product area corresponding to the relevant product are opened to the target salesperson, thereby obtaining the first role access rights corresponding to the target salesperson.

[0098] At the same time, the second product area corresponding to the target product is obtained, and the second product area indicates the area where the target product can be sold. Then, the sales authority corresponding to the target product and the second product area corresponding to the target product are opened to the relevant salesperson, thereby obtaining the second role access rights corresponding to the relevant salesperson.

[0099] Exemplarily, when the target association value is less than the preset association value, there is no need to modify the current permissions corresponding to the target salesperson, and the current permissions corresponding to the target salesperson are determined as the first role access permissions. At the same time, there is no need to modify the current permissions corresponding to the relevant salesperson, and the current permissions corresponding to the relevant salesperson are determined as the second role access permissions.

[0100] Specifically, the above steps can assign appropriate role access rights to sales staff, thereby achieving more refined permission management, which in turn can improve the use effect of related platforms and further enhance user experience.

[0101] The embodiment of the present invention provides a method and system for digital management of an enterprise based on salesperson sharing, the method comprising: obtaining a first user evaluation corresponding to an initial user, and determining a user feature corresponding to the initial user according to the first user evaluation; clustering the initial user according to the user feature to obtain a user set, the user set including a target user and related users corresponding to the target user; obtaining a target salesperson corresponding to the target user, and obtaining a target product corresponding to the target salesperson; obtaining a related salesperson corresponding to the related user, and obtaining a related product corresponding to the related salesperson; calculating the degree of association between the target product and the related product, and obtaining a target association value; determining a first role access right corresponding to the target salesperson according to the target association value and determining a second role access right corresponding to the related salesperson according to the target association value. The method can understand the preferences and behavioral characteristics of the initial user through the first user evaluation, thereby providing support for subsequent permission settings. Clustering users according to similar features can help find related users similar to the target user, thereby obtaining a target salesperson corresponding to the target user and a target product corresponding to the target salesperson, and obtaining a related salesperson corresponding to the related user and a related product corresponding to the related salesperson, thereby evaluating the correlation between the target product and the related product through the association value, and more accurately obtaining products that the target salesperson or the related salesperson can also sell, thereby improving cross-selling. Finally, the access rights of different roles are assigned according to the associated values, so that salesmen can focus on serving the areas they are best at, improving customer satisfaction and follow-up efficiency. This solves the problem that the fixed setting of salesmen's rights in related technologies ignores the ability of salesmen to share product resources and customer resource information, and thus cannot effectively utilize the trading platform, reducing the competitiveness of the trading platform.

[0102] See also Figure 2 , Figure 2An enterprise digital management system 200 based on salesperson sharing is provided in an embodiment of the present application. The enterprise digital management system 200 based on salesperson sharing includes an evaluation analysis module 201, a user clustering module 202, a first data acquisition module 203, a second data acquisition module 204, an association calculation module 205, and an authority setting module 206. The evaluation analysis module 201 is used to obtain a first user evaluation corresponding to an initial user, and determine a user feature corresponding to the initial user according to the first user evaluation; the user clustering module 202 is used to perform user clustering on the initial user according to the user feature to obtain a user set, and the user set includes a target user. a first data acquisition module 203 for acquiring a target salesperson corresponding to the target user, and acquiring a target product corresponding to the target salesperson; a second data acquisition module 204 for acquiring a relevant salesperson corresponding to the relevant user, and acquiring relevant products corresponding to the relevant salesperson; an association calculation module 205 for calculating the degree of association between the target product and the relevant products, and acquiring a target association value; and an authority setting module 206 for determining a first role access right corresponding to the target salesperson according to the target association value, and determining a second role access right corresponding to the relevant salesperson according to the target association value.

[0103] In some implementations, during the process of determining the user characteristics corresponding to the initial user according to the first user evaluation, the evaluation analysis module 201 performs:

[0104] Labeling the initial user according to the first user evaluation to obtain an initial label corresponding to the initial user;

[0105] Determine a label feature matrix corresponding to the initial user according to the initial label;

[0106] Calculating the differences between different labels using the label feature matrix to obtain the label feature difference corresponding to the initial label;

[0107] Merge labels according to the label feature difference to obtain the target label corresponding to the initial user;

[0108] The user feature corresponding to the initial user is determined according to the target tag.

[0109] In some implementations, during the process of determining the user feature corresponding to the initial user according to the target tag, the evaluation analysis module 201 performs:

[0110] Obtaining a second user evaluation corresponding to the target tag from the first user evaluation;

[0111] Obtaining the evaluation time corresponding to the second user evaluation, and determining the tag bias corresponding to the target tag according to the evaluation time;

[0112] Determining the tag activity corresponding to the target tag according to the number of evaluations corresponding to the second user evaluation;

[0113] Obtaining a related product corresponding to the second user evaluation, and determining a product status corresponding to the related product;

[0114] Determining a label fluctuation corresponding to the target label according to the product status;

[0115] The user feature corresponding to the initial user is determined according to the tag bias, the tag activity, and the tag volatility.

[0116] In some implementations, the evaluation analysis module 201, in the process of determining the user characteristics corresponding to the initial user according to the tag bias, the tag activity, and the tag volatility, performs:

[0117] determining a first weight and a second weight;

[0118] The tag bias, the tag activity, and the tag volatility are integrated according to the first weight and the second weight to obtain a target weight corresponding to the target tag;

[0119] Performing vector fusion according to the target weight and the label vector corresponding to the target label to obtain the user feature corresponding to the initial user;

[0120] The target weight is obtained according to the following formula:

[0121] ;

[0122] M represents the target weight, α represents the first weight, ε represents the second weight, Indicates the bias of the label, Indicates the activity of the tag, Indicates the tag volatility.

[0123] In some implementations, the association calculation module 205 performs, during the process of calculating the association degree between the target product and the related products to obtain the target association value:

[0124] Obtaining a first sales time corresponding to the latest transaction of the target product by the target salesperson and a second sales time corresponding to the latest transaction of the relevant product by the relevant salesperson;

[0125] Determine the influence factor between the target product and the related products according to the first sales time and the second sales time;

[0126] Obtaining a first product introduction corresponding to the target product and a second product introduction corresponding to the related product;

[0127] Performing similarity calculation based on the first product introduction and the second product introduction to obtain an initial association value between the target product and the related products;

[0128] The initial correlation value is adjusted according to the influencing factor to obtain the target correlation value between the target product and the related products.

[0129] In some implementations, during the process of determining the influence factor between the target product and the related products according to the first sales time and the second sales time, the association calculation module 205 performs:

[0130] Determine the time interval between the target product and the related product according to the first sales time and the second sales time;

[0131] Determine the target time difference based on the time information of successful sales of the same type of products by different salesmen with the same authority;

[0132] When the time interval is greater than or equal to the target time difference, determining the impact factor according to the target time difference and the time interval;

[0133] When the time interval is less than the target time difference, determining the impact factor as a fixed value;

[0134] The impact factor is obtained according to the following formula:

[0135] ;

[0136] ;

[0137] mc represents the target time difference, K represents the total quantity of the same type of products, and L represents the quantity of salesmen. represents the absolute time difference between the x-th salesperson’s success in selling product i and the y-th salesperson’s success in selling product i; θ represents the time interval, Δ represents a constant, represents the impact factor.

[0138] In some implementations, the permission setting module 206, during the process of determining the first role access permission corresponding to the target salesperson according to the target association value and determining the second role access permission corresponding to the relevant salesperson according to the target association value, performs:

[0139] Determine a preset association value, and when the target association value is greater than or equal to the preset association value, obtain a first product area corresponding to the related product, and obtain the first role access permission corresponding to the target salesperson according to the related product and the first product area;

[0140] A second product area corresponding to the target product is obtained, and the second role access permission corresponding to the relevant salesperson is obtained according to the target product and the second product area.

[0141] In some implementations, the enterprise digital management system 200 based on salesperson sharing can be applied to terminal devices.

[0142] It should be noted that technical personnel in the relevant field can clearly understand that, for the convenience and conciseness of description, the specific working process of the enterprise digital management system 200 based on salesperson sharing described above can refer to the corresponding process in the aforementioned enterprise digital management method embodiment based on salesperson sharing, and will not be repeated here.

[0143] See also Figure 3 , Figure 3 A schematic block diagram of the structure of a terminal device provided in an embodiment of the present invention.

[0144] like Figure 3 As shown, the terminal device 300 includes a processor 301 and a memory 302 , and the processor 301 and the memory 302 are connected via a bus 303 , such as an I2C (Inter-integrated Circuit) bus.

[0145] Specifically, the processor 301 is used to provide computing and control capabilities to support the operation of the entire terminal device. The processor 301 can be a central processing unit (CPU), and the processor 301 can also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0146] Specifically, the memory 302 may be a Flash chip, a read-only memory (ROM) disk, an optical disk, a USB flash drive, or a mobile hard disk.

[0147] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a partial structure related to the embodiment of the present invention, and does not constitute a limitation on the terminal device to which the embodiment of the present invention is applied. The specific server may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0148] The processor is used to run a computer program stored in a memory, and implement any one of the enterprise digital management methods based on salesperson sharing provided in an embodiment of the present invention when executing the computer program.

[0149] In one embodiment, the processor is used to run a computer program stored in the memory, and implements the following steps when executing the computer program:

[0150] Obtaining a first user evaluation corresponding to an initial user, and determining a user feature corresponding to the initial user according to the first user evaluation;

[0151] Perform user clustering on the initial users according to the user characteristics to obtain a user set, where the user set includes a target user and related users corresponding to the target user;

[0152] Obtaining a target salesperson corresponding to the target user, and obtaining a target product corresponding to the target salesperson;

[0153] Obtaining the relevant salesperson corresponding to the relevant user, and obtaining the relevant product corresponding to the relevant salesperson;

[0154] Calculating the degree of association between the target product and the related products to obtain a target association value;

[0155] A first role access permission corresponding to the target salesperson is determined according to the target association value, and a second role access permission corresponding to the relevant salesperson is determined according to the target association value.

[0156] In some implementations, during the process of determining the user feature corresponding to the initial user according to the first user evaluation, the processor 301 executes:

[0157] Labeling the initial user according to the first user evaluation to obtain an initial label corresponding to the initial user;

[0158] Determine a label feature matrix corresponding to the initial user according to the initial label;

[0159] Calculating the differences between different labels using the label feature matrix to obtain the label feature difference corresponding to the initial label;

[0160] Merge labels according to the label feature difference to obtain the target label corresponding to the initial user;

[0161] The user feature corresponding to the initial user is determined according to the target tag.

[0162] In some implementations, during the process of determining the user feature corresponding to the initial user according to the target tag, the processor 301 executes:

[0163] Obtaining a second user evaluation corresponding to the target tag from the first user evaluation;

[0164] Obtaining the evaluation time corresponding to the second user evaluation, and determining the tag bias corresponding to the target tag according to the evaluation time;

[0165] Determining the tag activity corresponding to the target tag according to the number of evaluations corresponding to the second user evaluation;

[0166] Obtaining a related product corresponding to the second user evaluation, and determining a product status corresponding to the related product;

[0167] Determining a label fluctuation corresponding to the target label according to the product status;

[0168] The user feature corresponding to the initial user is determined according to the tag bias, the tag activity, and the tag volatility.

[0169] In some implementations, the processor 301, in the process of determining the user feature corresponding to the initial user according to the tag bias, the tag activity, and the tag volatility, executes:

[0170] determining a first weight and a second weight;

[0171] The tag bias, the tag activity, and the tag volatility are integrated according to the first weight and the second weight to obtain a target weight corresponding to the target tag;

[0172] Performing vector fusion according to the target weight and the label vector corresponding to the target label to obtain the user feature corresponding to the initial user;

[0173] The target weight is obtained according to the following formula:

[0174] ;

[0175] M represents the target weight, α represents the first weight, ε represents the second weight, Indicates the bias of the label, Indicates the activity of the tag, Indicates the tag volatility.

[0176] In some implementations, the processor 301, during the process of calculating the degree of association between the target product and the related products to obtain the target association value, executes:

[0177] Obtaining a first sales time corresponding to the latest transaction of the target product by the target salesperson and a second sales time corresponding to the latest transaction of the relevant product by the relevant salesperson;

[0178] Determine the influence factor between the target product and the related products according to the first sales time and the second sales time;

[0179] Obtaining a first product introduction corresponding to the target product and a second product introduction corresponding to the related product;

[0180] Performing similarity calculation based on the first product introduction and the second product introduction to obtain an initial association value between the target product and the related products;

[0181] The initial correlation value is adjusted according to the influencing factor to obtain the target correlation value between the target product and the related products.

[0182] In some implementations, during the process of determining the influence factor between the target product and the related products according to the first sales time and the second sales time, the processor 301 executes:

[0183] Determine the time interval between the target product and the related product according to the first sales time and the second sales time;

[0184] Determine the target time difference based on the time information of successful sales of the same type of products by different salesmen with the same authority;

[0185] When the time interval is greater than or equal to the target time difference, determining the impact factor according to the target time difference and the time interval;

[0186] When the time interval is less than the target time difference, determining the impact factor as a fixed value;

[0187] The impact factor is obtained according to the following formula:

[0188] ;

[0189] ;

[0190] mc represents the target time difference, K represents the total quantity of the same type of products, and L represents the quantity of salesmen. represents the absolute time difference between the x-th salesperson’s success in selling product i and the y-th salesperson’s success in selling product i; θ represents the time interval, Δ represents a constant, represents the impact factor.

[0191] In some implementations, the processor 301, during the process of determining the first role access permission corresponding to the target salesperson according to the target association value and determining the second role access permission corresponding to the relevant salesperson according to the target association value, executes:

[0192] Determine a preset association value, and when the target association value is greater than or equal to the preset association value, obtain a first product area corresponding to the related product, and obtain the first role access permission corresponding to the target salesperson according to the related product and the first product area;

[0193] A second product area corresponding to the target product is obtained, and the second role access permission corresponding to the relevant salesperson is obtained according to the target product and the second product area.

[0194] It should be noted that technical personnel in the relevant field can clearly understand that, for the convenience and conciseness of description, the specific working process of the terminal device described above can refer to the corresponding process in the aforementioned enterprise digital management method embodiment based on salesperson sharing, and will not be repeated here.

[0195] An embodiment of the present invention also provides a storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement any step of the enterprise digital management method based on salesperson sharing provided in the description of the embodiment of the present invention.

[0196] The storage medium may be an internal storage unit of the terminal device described in the foregoing embodiment, such as a hard disk or memory of the terminal device. The storage medium may also be an external storage device of the terminal device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc., equipped on the terminal device.

[0197] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In a hardware embodiment, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or transient medium). As is known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0198] It should be understood that the term "and / or" used in the present specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations. It should be noted that, in this article, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "including a..." does not exclude the presence of other identical elements in the process, method, article or system including the element.

[0199] The serial numbers of the embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments. The above description is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A digital enterprise management method based on salesperson sharing, characterized in that: The method comprises: Obtain a first user evaluation corresponding to an initial user, and determine a user feature corresponding to the initial user according to the first user evaluation; perform user clustering on the initial user according to the user feature to obtain a user set, wherein the user set includes a target user and related users corresponding to the target user; obtain a target salesperson corresponding to the target user, and obtain a target product corresponding to the target salesperson; obtain a related salesperson corresponding to the related user, and obtain related products corresponding to the related salesperson; calculate the degree of association between the target product and the related products to obtain a target association value; determine a first role access right corresponding to the target salesperson according to the target association value, and determine a second role access right corresponding to the related salesperson according to the target association value; Wherein, the calculating of the degree of association between the target product and the related products to obtain the target association value includes: obtaining a first sales time corresponding to the latest transaction of the target product by the target salesperson and a second sales time corresponding to the latest transaction of the related product by the related salesperson; determining the influence factor between the target product and the related product according to the first sales time and the second sales time; obtaining a first product introduction corresponding to the target product and a second product introduction corresponding to the related product; calculating the similarity between the first product introduction and the second product introduction by a similarity calculation method, thereby obtaining an initial association value between the target product and the related product; adjusting the initial association value according to the influence factor to obtain the target association value between the target product and the related product; Wherein, determining the first role access right corresponding to the target salesperson according to the target association value and determining the second role access right corresponding to the relevant salesperson according to the target association value include: determining a preset association value, and when the target association value is greater than or equal to the preset association value, obtaining a first product area corresponding to the relevant product, the first product area indicating an area where the relevant product can be sold, and then opening the sales right corresponding to the relevant product and the first product area corresponding to the relevant product to the target salesperson, thereby obtaining the first role access right corresponding to the target salesperson; obtaining a second product area corresponding to the target product, the second product area indicating an area where the target product can be sold, and then opening the sales right corresponding to the target product and the second product area corresponding to the target product to the relevant salesperson, thereby obtaining the second role access right corresponding to the relevant salesperson; The determining of the impact factor between the target product and the related products according to the first sales time and the second sales time includes: determining the time interval between the target product and the related products according to the first sales time and the second sales time; determining the target time difference according to the time information of successful sales of the same type of products by different salesmen under the same authority; and when the time interval is greater than or equal to the target time difference, determining the impact factor according to the target time difference and the time interval using the following formula: ； mc represents the target time difference, θ represents the time interval, Δ represents a constant, represents the impact factor; When the time interval is less than the target time difference, the impact factor is determined as a fixed value.

2. The method according to claim 1, characterized in that The determining the user characteristics corresponding to the initial user according to the first user evaluation includes: Labeling the initial user according to the first user evaluation to obtain an initial label corresponding to the initial user; Determine a label feature matrix corresponding to the initial user according to the initial label; Calculating the differences between different labels using the label feature matrix to obtain the label feature difference corresponding to the initial label; Merge labels according to the label feature difference to obtain the target label corresponding to the initial user; The user feature corresponding to the initial user is determined according to the target tag.

3. The method according to claim 2, characterized in that The determining the user feature corresponding to the initial user according to the target tag includes: Obtaining a second user evaluation corresponding to the target tag from the first user evaluation; Obtaining the evaluation time corresponding to the second user evaluation, and determining the tag bias corresponding to the target tag according to the evaluation time, wherein the closer the evaluation time is to the current time, the smaller the tag bias is, and the farther the evaluation time is from the current time, the greater the tag bias is; Counting the number of evaluations of the target tag in the second user's evaluation, so as to determine the tag activity corresponding to the target tag; Obtaining a related product corresponding to the second user evaluation, and determining a product status corresponding to the related product; Determine the tag fluctuation corresponding to the target tag according to the product status. When the product status is in good sales or positive user feedback, the tag fluctuation is small. When the product status is in poor sales or negative user feedback, the tag fluctuation is large. Determining the user feature corresponding to the initial user according to the tag bias, the tag activity, and the tag volatility; The determining of the user features corresponding to the initial user according to the tag bias, the tag activity and the tag volatility includes: determining a first weight and a second weight; fusing the tag bias, the tag activity and the tag volatility according to the first weight and the second weight to obtain a target weight corresponding to the target tag; performing vector fusion according to the target weight and the tag vector corresponding to the target tag to obtain the user features corresponding to the initial user; wherein the target weight is obtained according to the following formula: ； M represents the target weight, α represents the first weight, ε represents the second weight, Indicates the bias of the label, Indicates the activity of the tag, Indicates the tag volatility.

4. An enterprise digital management system based on salesperson sharing, characterized in that: include: An evaluation analysis module, used to obtain a first user evaluation corresponding to an initial user, and determine a user feature corresponding to the initial user according to the first user evaluation; A user clustering module, configured to cluster the initial users according to the user characteristics to obtain a user set, wherein the user set includes a target user and related users corresponding to the target user; The first data acquisition module is used to obtain the target salesperson corresponding to the target user, and obtain the target product corresponding to the target salesperson; the second data acquisition module is used to obtain the relevant salesperson corresponding to the relevant user, and obtain the relevant product corresponding to the relevant salesperson; A correlation calculation module, used to calculate the correlation degree between the target product and the related products to obtain a target correlation value; An authority setting module, used to determine the first role access permission corresponding to the target salesperson according to the target association value and to determine the second role access permission corresponding to the relevant salesperson according to the target association value; Wherein, the calculating of the degree of association between the target product and the related products to obtain the target association value includes: obtaining a first sales time corresponding to the latest transaction of the target product by the target salesperson and a second sales time corresponding to the latest transaction of the related product by the related salesperson; determining the influence factor between the target product and the related product according to the first sales time and the second sales time; obtaining a first product introduction corresponding to the target product and a second product introduction corresponding to the related product; calculating the similarity between the first product introduction and the second product introduction by a similarity calculation method, thereby obtaining an initial association value between the target product and the related product; adjusting the initial association value according to the influence factor to obtain the target association value between the target product and the related product; Wherein, determining the first role access right corresponding to the target salesperson according to the target association value and determining the second role access right corresponding to the relevant salesperson according to the target association value include: determining a preset association value, and when the target association value is greater than or equal to the preset association value, obtaining a first product area corresponding to the relevant product, the first product area indicating an area where the relevant product can be sold, and then opening the sales right corresponding to the relevant product and the first product area corresponding to the relevant product to the target salesperson, thereby obtaining the first role access right corresponding to the target salesperson; obtaining a second product area corresponding to the target product, the second product area indicating an area where the target product can be sold, and then opening the sales right corresponding to the target product and the second product area corresponding to the target product to the relevant salesperson, thereby obtaining the second role access right corresponding to the relevant salesperson; The determining of the impact factor between the target product and the related products according to the first sales time and the second sales time includes: determining the time interval between the target product and the related products according to the first sales time and the second sales time; determining the target time difference according to the time information of successful sales of the same type of products by different salesmen under the same authority; and when the time interval is greater than or equal to the target time difference, determining the impact factor according to the target time difference and the time interval using the following formula: ； mc represents the target time difference, θ represents the time interval, Δ represents a constant, represents the impact factor; When the time interval is less than the target time difference, the impact factor is determined as a fixed value.

5. A terminal device, characterized in that: The terminal device includes a processor and a memory; The memory is used to store computer programs; The processor is used to execute the computer program and implement the enterprise digital management method based on salesperson sharing as described in any one of claims 1 to 3 when executing the computer program.

6. A computer storage medium for computer storage, characterized in that: The computer storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of the enterprise digital management method based on salesperson sharing as described in any one of claims 1 to 3.

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