Method for automatically generating welfare gift bag for enterprise employees

Abstract

The invention relates to the technical field of information, and discloses an enterprise employee welfare gift bag automatic generation method, and the method comprises the following steps: S1, firstly providing a welfare management system for employees, and enabling the employees to log in the system to browse and autonomously purchase welfare products; s2, processing the collected employee preference data by using a data analysis algorithm; s3, an enterprise administrator sets welfare gift bag generation rules through a system interface; s4, according to the preference model of the employee and the rule set by the enterprise, screening out the commodity meeting the condition from the commodity library; s5, notification reminding is sent to the employees through the enterprise internal platform; and S6, the employee can adjust the commodity in the rule range, and evaluation and feedback are carried out on the gift bag. By collecting the preference data of the employees and analyzing and processing the data, the requirements of the employees are accurately judged, personalized customization of welfare gift bags is achieved, and the satisfaction degree of the employees to welfare is improved.

Description

Technical Field

[0001] The invention relates to the field of information technology, and in particular to a method for automatically generating a welfare gift package for enterprise employees. Background Art

[0002] An enterprise's employee welfare package refers to a collection of comprehensive welfare benefits provided by an enterprise to its employees. These benefits are designed to improve employee satisfaction, loyalty and work enthusiasm, while also helping the enterprise to attract and retain outstanding talents and enhance the company's competitiveness.

[0003] The current purpose of automatically generating welfare gift packages is to improve the efficiency and accuracy of welfare management, while meeting the personalized needs of employees, enhancing their sense of belonging and satisfaction, avoiding the tediousness and errors in traditional manual operations, and improving work efficiency.

[0004] However, the traditional way of distributing welfare packages often lacks personalization and cannot meet the diverse needs of employees. In addition, some welfare management systems fail to fully consider the personal preferences of employees and the various rules of the enterprise when generating welfare packages, resulting in low practicality and satisfaction of welfare packages. Therefore, those skilled in the art provide a method for automatically generating welfare packages for enterprise employees to solve the problems raised in the above background technology. Summary of the invention

[0005] The purpose of the present invention is to provide a method for automatically generating a corporate employee welfare gift package to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for automatically generating a corporate employee welfare gift package, wherein the automatic generation of a corporate employee welfare gift package comprises the following steps:

[0008] S1: First, provide employees with a welfare management system, where they can log in to browse and purchase welfare products. Set up data collection points in the welfare management system to record employees' browsing behavior, purchase history, and evaluation of welfare products in the system.

[0009] S2: Use data analysis algorithms to process the collected employee preference data;

[0010] S3: The enterprise administrator sets the rules for generating welfare gift packages through the system interface, including but not limited to budget restrictions, product category requirements, brand requirements, and product quantity requirements;

[0011] S4: Filter out qualified products from the product library based on the employee's preference model and the rules set by the enterprise;

[0012] S5: Send notification reminders to employees through the company's internal platform;

[0013] S6: Employees can adjust products within the rules, provide feedback on gift packages, and make positive adjustments.

[0014] As a further solution of the present invention: the browsing behavior in S1 includes detailed records of the types of goods browsed by employees, browsing time, browsing duration and browsing frequency; the purchase history includes the name of the purchased goods, purchase time, purchase quantity and purchase price, etc.; the evaluation of welfare goods includes the employee's satisfaction score for the welfare goods obtained, text evaluation and other content.

[0015] As a further solution of the present invention: the specific steps in S2 include the following:

[0016] S21: First, the data is cleaned and preprocessed to remove outliers and duplicate data;

[0017] S22: Next, an association rule mining algorithm is used to analyze the association relationship between employees' purchasing behavior and browsing behavior;

[0018] S23: Based on the analysis results, a preference model for each employee is established. The model represents the employee's preference for different categories of goods in the form of a vector.

[0019] As a further solution of the present invention: the budget limit in S3 is to set the total budget range of each welfare gift package;

[0020] Product category requirements refer to the product categories that must or cannot be included in the welfare gift package;

[0021] Brand requirements specify the range of product brands that can be selected based on corporate partnerships or brand image;

[0022] The product quantity requirement is to ensure that the number of products in the welfare gift package must be greater than or equal to 3.

[0023] As a further solution of the present invention: the automatic generation of the enterprise employee welfare gift package also includes encrypting the gift package content and collection code and other information during the gift package generation process, thereby ensuring that only qualified employees can decrypt and collect the gift package.

[0024] As a further solution of the present invention: the specific steps in S4 are:

[0025] S41: First, sort the products according to the employees’ preferences, and give priority to products with higher employee preferences;

[0026] S42: Then, on the basis of satisfying the employees’ preferences, further screening is carried out according to the company’s rules;

[0027] S43: If there are multiple combinations of products that meet the conditions, an optimization algorithm can be used to optimize the selection to find the optimal welfare gift package combination. The algorithm can be a genetic algorithm.

[0028] As a further solution of the present invention: in the S5, the enterprise can implement notification reminders through the system, email, enterprise WeChat, DingTalk, etc., and collect and analyze the delivery rate of notifications and employee reading status to ensure that employees can receive notifications in time.

[0029] As a further solution of the present invention: after the employees in S6 receive the welfare gift package, the system provides a feedback channel, and the employees can evaluate the content and satisfaction of the gift package. The company optimizes and adjusts the welfare gift package generation method and product library based on the employees' feedback information to continuously improve the effect of welfare distribution.

[0030] As a further solution of the present invention: the specific steps of S22 are as follows:

[0031] S221: Setting parameters of the association rule mining algorithm according to analysis requirements, such as support threshold and confidence threshold;

[0032] S222: Apply an association rule mining algorithm to process the data to discover association rules between commodities. The algorithm may be an Apriori algorithm.

[0033] S223: Analyze the mined association rules to identify patterns and trends in employee purchasing behavior.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. The present invention collects employee preference data and analyzes and processes the data to accurately determine employee needs, achieve personalized customization of welfare packages, and improve employee satisfaction with welfare. At the same time, it meets the company's requirements in terms of cost control and welfare product selection. In addition, through feedback, the welfare package generation method and product library can be optimized and adjusted to continuously improve the effect of welfare distribution.

[0036] 2. The present invention encrypts information such as the gift package content and the collection code, which can ensure that the data is not tampered with during transmission and storage, ensure the security of the data, and ensure that only qualified employees can decrypt and receive the gift package, thereby improving job satisfaction and loyalty.

[0037] 3. The present invention sends notification reminders to employees through the internal platform of the enterprise to ensure that employees receive the information of the welfare gift package in the first time, including the time and method of receiving the gift package, thereby improving the efficiency and accuracy of information transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 The framework diagram is a method for automatically generating corporate employee welfare packages. DETAILED DESCRIPTION

[0039] 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 only 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.

[0040] See also Figure 1 In an embodiment of the present invention, a method for automatically generating a corporate employee welfare gift package is provided. The method includes the following steps:

[0041] S1: First, provide employees with a welfare management system, where they can log in to browse and purchase welfare products. Set up data collection points in the welfare management system to record employees' browsing behavior, purchase history, and evaluation of welfare products in the system.

[0042] S2: Use data analysis algorithms to process the collected employee preference data;

[0043] S3: The enterprise administrator sets the rules for generating welfare gift packages through the system interface, including but not limited to budget restrictions, product category requirements, brand requirements, and product quantity requirements;

[0044] S4: Filter out qualified products from the product library based on the employee's preference model and the rules set by the enterprise;

[0045] S5: Send notification reminders to employees through the company's internal platform;

[0046] S6: Employees can adjust products within the rules, provide evaluation and feedback on gift packages, and make positive adjustments.

[0047] Preferably, in this embodiment, the browsing behavior in S1 includes detailed records of information such as the types of goods browsed by employees, browsing time, browsing duration and browsing frequency; the purchase history includes the name of the purchased goods, purchase time, purchase quantity and purchase price, etc.; the evaluation of welfare goods includes the employee's satisfaction score for the welfare goods obtained, text evaluation, etc.

[0048] Specifically, in this embodiment, employee preferences are collected and analyzed through an employee preference data collection module, which helps to understand employees' real needs and preferences, thereby improving satisfaction and practicality with welfare packages.

[0049] In this embodiment, the specific steps in S2 include the following:

[0050] S21: First, the data is cleaned and preprocessed to remove outliers and duplicate data;

[0051] S22: Next, an association rule mining algorithm is used to analyze the association relationship between employees' purchasing behavior and browsing behavior;

[0052] The specific steps of S22 are as follows:

[0053] S221: Setting parameters of the association rule mining algorithm according to analysis requirements, such as support threshold and confidence threshold;

[0054] S222: Apply an association rule mining algorithm to process the data to discover association rules between commodities. The algorithm may be an Apriori algorithm.

[0055] S223: Analyze the mined association rules to identify patterns and trends in employee purchasing behavior;

[0056] S23: Based on the analysis results, a preference model for each employee is established. The model represents the employee's preference for different categories of goods in the form of a vector.

[0057] Specifically, in this embodiment, the budget limit in S3 is to set the total budget range of each welfare gift package; for example, the price of each gift package shall not exceed 300 yuan;

[0058] Product category requirements refer to the product categories that must or cannot be included in the welfare gift package; for example, food products must be included in the Spring Festival welfare gift package, while heavy winter clothing products cannot be included in the summer welfare gift package;

[0059] Brand requirements are to stipulate the range of product brands that can be selected based on corporate partnerships or brand images; for example, select products that meet product category requirements, brand requirements, and quantity requirements within budget constraints;

[0060] The product quantity requirement is to ensure that the number of products in the welfare gift package must be greater than or equal to 3.

[0061] Specifically, in this embodiment, the automatic generation of corporate employee welfare gift packages also includes encrypting information such as gift package content and collection codes during the gift package generation process, thereby ensuring that only qualified employees can decrypt and collect the gift packages.

[0062] In this embodiment, the specific steps in S4 are:

[0063] S41: First, sort the products according to the employees’ preferences, and give priority to products with higher employee preferences;

[0064] S42: Then, on the basis of satisfying the employees’ preferences, further screening is carried out according to the company’s rules;

[0065] S43: If there are multiple combinations of products that meet the conditions, an optimization algorithm can be used to optimize the selection to find the optimal welfare gift package combination. The algorithm can be a genetic algorithm.

[0066] Specifically, in S5, the enterprise can implement notification reminders through systems, emails, corporate WeChat, DingTalk, etc., and collect and analyze the delivery rate of notifications and employee reading status to ensure that employees can receive notifications in a timely manner.

[0067] Specifically, in this embodiment, after the employees receive the welfare gift package in S6, the system provides a feedback channel, and the employees can evaluate the content and satisfaction of the gift package. The company optimizes and adjusts the welfare gift package generation method and product library based on the employees' feedback information to continuously improve the effect of welfare distribution; and the employees can choose to replace certain products within a certain range, or adjust the quantity of products.

[0068] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0069] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for automatically generating a corporate employee welfare gift package, characterized in that: The automatic generation of corporate employee welfare packages includes the following steps: S1: First, provide employees with a welfare management system, where they can log in to browse and purchase welfare products. Set up data collection points in the welfare management system to record employees' browsing behavior, purchase history, and evaluation of welfare products in the system. S2: Use data analysis algorithms to process the collected employee preference data; S3: The enterprise administrator sets the rules for generating welfare gift packages through the system interface, including but not limited to budget restrictions, product category requirements, brand requirements, and product quantity requirements; S4: Filter out qualified products from the product library based on the employee's preference model and the rules set by the enterprise; S5: Send notification reminders to employees through the company's internal platform; S6: Employees can adjust products within the rules, provide evaluation and feedback on gift packages, and make positive adjustments.

2. A method for automatically generating a corporate employee welfare gift package according to claim 1, characterized in that: The browsing behavior in S1 includes detailed records of the types of goods browsed by employees, browsing time, browsing duration and browsing frequency; the purchase history includes the name of the purchased goods, purchase time, purchase quantity and purchase price, etc.; the evaluation of welfare goods includes the employee's satisfaction score for the welfare goods obtained, text evaluation, etc.

3. A method for automatically generating a corporate employee welfare gift package according to claim 1, characterized in that: The specific steps in S2 include the following: S21: First, the data is cleaned and preprocessed to remove outliers and duplicate data; S22: Next, an association rule mining algorithm is used to analyze the association relationship between employees' purchasing behavior and browsing behavior; S23: Based on the analysis results, a preference model for each employee is established. The model represents the employee's preference for different categories of goods in the form of a vector.

4. A method for automatically generating a corporate employee welfare gift package according to claim 1, characterized in that: The budget limit in S3 is to set the total budget range of each welfare gift package; Product category requirements refer to the product categories that must or cannot be included in the welfare gift package; Brand requirements specify the range of product brands that can be selected based on corporate partnerships or brand image; The product quantity requirement is to ensure that the number of products in the welfare gift package must be greater than or equal to 3.

5. A method for automatically generating corporate employee welfare gift packages according to claim 1, characterized in that: The automatic generation of the corporate employee welfare gift packages also includes encrypting information such as the gift package content and the collection code during the gift package generation process, thereby ensuring that only qualified employees can decrypt and collect the gift packages.

6. A method for automatically generating corporate employee welfare gift packages according to claim 1, characterized in that: The specific steps in S4 are: S41: First, sort the products according to the employees’ preferences, and give priority to products with higher employee preferences; S42: Then, on the basis of satisfying the employees’ preferences, further screening is carried out according to the company’s rules; S43: If there are multiple combinations of products that meet the conditions, an optimization algorithm can be used to optimize the selection to find the optimal welfare gift package combination. The algorithm can be a genetic algorithm.

7. A method for automatically generating corporate employee welfare gift packages according to claim 1, characterized in that: In the S5, the enterprise can implement notification reminders through the system, email, enterprise WeChat, DingTalk, etc., and collect and analyze the delivery rate of notifications and employee reading status to ensure that employees can receive notifications in a timely manner.

8. A method for automatically generating corporate employee welfare gift packages according to claim 1, characterized in that: After the employees in S6 receive the welfare gift packages, the system provides a feedback channel, and the employees can evaluate the content and satisfaction of the gift packages. The company optimizes and adjusts the welfare gift package generation method and product library based on the employees' feedback information to continuously improve the effectiveness of welfare distribution.

9. A method for automatically generating corporate employee welfare gift packages according to claim 3, characterized in that: The specific steps of S22 are as follows: S221: Setting parameters of the association rule mining algorithm according to analysis requirements, such as support threshold and confidence threshold; S222: Apply an association rule mining algorithm to process the data to discover association rules between commodities. The algorithm may be an Apriori algorithm. S223: Analyze the mined association rules to identify patterns and trends in employee purchasing behavior.

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