A holographic intelligent portrait system and method for purchasing personnel

Abstract

The present application relates to big data artificial intelligence user portrait technical field, especially relate to a kind of procurement personnel holographic intelligent portrait system and method.The procurement personnel holographic intelligent portrait system and method of the present application, its system includes procurement engineer overall portrait module, procurement engineer individual portrait module and characteristic analysis module, through intelligent portrait system, the accurate construction of specialized procurement personnel team is realized, accurate evaluation to post rating, professional skill level assessment, professional promotion path and the like is realized, the cultivation and selection of talent classification in talent echelon construction are realized.

Description

Technical Field

[0001] The present invention relates to the field of big data artificial intelligence user portrait technology, and in particular to a holographic intelligent portrait system and method for purchasing personnel. Background Art

[0002] User profiling is the labeling of user information. User information includes basic information, social attributes, demographic information, and online behavior. Based on real user data, a user model is built to abstract user attributes and characteristics into individual labels for use by other upstream systems. The original user profile includes not only labels but also weights.

[0003] Under existing technologies, user profiling technology is widely used in multiple scenarios.

[0004] The current method for analyzing procurement personnel's work efficiency mainly relies on offline analysis, which involves manually classifying and analyzing relevant data reports. This manual analysis method has the following shortcomings:

[0005] 1. The display of various indicators of purchasing personnel is not intuitive, and the comparison of indicators between purchasing personnel is complicated, which is not conducive to the company's personnel to view indicator data.

[0006] 2. Manual data statistics are not very timely. It takes a long time to manually analyze data reports. It is impossible to capture data for analysis in real time, which is of little help to the improvement of various indicators of purchasing personnel.

[0007] 3. Purchasing personnel have different business scopes, and manual analysis cannot present the evaluation indicators of purchasing personnel fairly and objectively.

[0008] Therefore, how to use big data and artificial intelligence to profile the work efficiency of procurement personnel is the main problem to be solved at present. Summary of the Invention

[0009] In order to solve the problems of the existing technology, the present invention provides a holographic intelligent portrait system and method for purchasing personnel. Through the intelligent portrait system, it can realize the precise construction of a professional purchasing personnel team, realize accurate evaluation of job rating, professional skill level assessment, professional promotion paths, etc., and realize the classified training and selection of talents in talent echelon construction.

[0010] The technical solutions adopted in the present invention are as follows:

[0011] A holographic intelligent portrait system for purchasing personnel includes a purchasing engineer overall portrait module, a purchasing engineer individual portrait module and a characteristic analysis module, wherein the purchasing engineer overall portrait module is used to generate a purchasing engineer overall personnel distribution unit, a purchasing category personnel distribution unit, a monthly document distribution unit, a first-time online success rate unit, a planned average stay time unit, a purchasing completion rate unit, a service fee recovery rate unit, a purchasing business volume unit and a purchasing engineer efficiency index comprehensive score ranking unit; the purchasing engineer individual portrait module is used to generate a personal situation unit, a single indicator trend unit, a score and distribution unit, an evaluation method distribution unit and a unit time ranking change trend unit; the characteristic analysis module is used to analyze and compare the purchasing engineer data collected by the purchasing engineer overall portrait module and the purchasing engineer individual portrait module over time.

[0012] Preferably, in the procurement category personnel distribution unit, the categories purchased by procurement engineers include materials, engineering and services.

[0013] Preferably, the scoring and distribution unit generates a radar chart to display the procurement service volume, procurement completion rate, service fee collection rate, first-time online success rate and planned average stay time of the procurement engineer.

[0014] Preferably, in the procurement business volume unit and the planned average stay time unit, the procurement business volume is classified from three aspects: non-review type, review type, and single source.

[0015] A holographic intelligent profiling method for purchasing personnel includes the following steps:

[0016] A. Collect real-time data from purchasing engineers;

[0017] B. classifying the collected data;

[0018] C. Calculate the purchasing engineer effectiveness index based on the data using the effectiveness index model and rank them;

[0019] D. Generate an overall portrait of the purchasing engineer, an individual portrait of the purchasing engineer, and characteristic analysis results respectively.

[0020] Preferably, the real-time data includes the personal information of the procurement engineer, procurement service volume, procurement completion rate, service fee collection rate, first-time online success rate, and average planned stay time.

[0021] Preferably, step D specifically includes:

[0022] D1. Based on the collected real-time data, the overall distribution of procurement engineers, distribution of procurement personnel by category, monthly document distribution, first-time online success rate, average planned stay time, procurement completion rate, service fee recovery rate, procurement business volume, and the comprehensive score ranking of procurement engineer effectiveness indicators are displayed.

[0023] D2. Based on the collected real-time data, display the individual situation, trend of each individual indicator, score and distribution, evaluation method distribution and ranking change trend per unit time;

[0024] D3. Display the characteristic analysis results.

[0025] The beneficial effects brought about by the technical solution provided by the present invention are:

[0026] The present invention analyzes purchasing behavior from multi-dimensional data, conducts in-depth research and debugging on the quantitative scores and weights of each model, and achieves a level that integrates balance, science, rationality, and fairness through simulation experiments on application scenarios.

[0027] Through the intelligent portrait system, we can achieve the precise construction of a professional procurement personnel team, the accurate evaluation of job ratings, professional skill level assessments, professional promotion paths, etc., and the training and selection of talent classification in the construction of talent echelons.

[0028] The present invention's holographic intelligent profiling system and method for purchasing personnel, through the precise positioning of professional talent, can sustainably enhance the breadth and depth of lean management, realizing the advantages of talent-driven enterprise development and multiplication of synergies. It transforms existing, offline, and unquantified traditional management methods into comprehensive online data management through the system. By establishing a centralized and unified management system as the core, it will gradually advance the process of intelligent procurement and establish an industry-leading digital supply chain management system in stages, realizing intelligent empowerment and value creation in material management. DETAILED DESCRIPTION

[0029] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be described in further detail below.

[0030] Example 1

[0031] This embodiment provides a holographic intelligent portrait system for purchasing personnel, including a purchasing engineer overall portrait module, a purchasing engineer individual portrait module and a characteristic analysis module, wherein the purchasing engineer overall portrait module is used to generate a purchasing engineer overall personnel distribution unit, a purchasing category personnel distribution unit, a monthly document distribution unit, a first-time online success rate unit, a planned average stay time unit, a purchasing completion rate unit, a service fee recovery rate unit, a purchasing business volume unit and a purchasing engineer efficiency index comprehensive score ranking unit; the purchasing engineer individual portrait module is used to generate a personal situation unit, a single indicator trend unit, a score and distribution unit, an evaluation method distribution unit and a unit time ranking change trend unit; the characteristic analysis module is used to perform temporal analysis and comparison on the purchasing engineer data collected by the purchasing engineer overall portrait module and the purchasing engineer individual portrait module.

[0032] In the procurement category personnel distribution unit, the procurement categories of procurement engineers include materials, engineering and services.

[0033] The scoring and distribution unit generates a radar chart to display the procurement service volume, procurement completion rate, service fee collection rate, first-time online success rate and planned average stay time of the procurement engineer.

[0034] In the procurement business volume unit and the planned average stay time unit, the procurement business volume is classified into three aspects: non-review type, review type, and single source.

[0035] Example 2

[0036] This embodiment provides a method for creating a holographic intelligent portrait of a purchasing person, including the following steps:

[0037] A. Collect real-time data from purchasing engineers;

[0038] B. classifying the collected data;

[0039] C. Calculate the purchasing engineer effectiveness index based on the data using the effectiveness index model and rank them;

[0040] D. Generate an overall portrait of the purchasing engineer, an individual portrait of the purchasing engineer, and characteristic analysis results respectively.

[0041] Preferably, the real-time data includes the personal information of the procurement engineer, procurement service volume, procurement completion rate, service fee collection rate, first-time online success rate, and average planned stay time.

[0042] Preferably, step D specifically includes:

[0043] D1. Based on the collected real-time data, the overall distribution of procurement engineers, distribution of procurement personnel by category, monthly document distribution, first-time online success rate, average planned stay time, procurement completion rate, service fee recovery rate, procurement business volume, and the comprehensive score ranking of procurement engineer effectiveness indicators are displayed.

[0044] D2. Based on the collected real-time data, display the individual situation, trend of each individual indicator, score and distribution, evaluation method distribution and ranking change trend per unit time;

[0045] D3. Display the characteristic analysis results.

[0046] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A holographic intelligent portrait system for purchasing personnel, including a purchasing engineer overall portrait module, a purchasing engineer individual portrait module and a characteristic analysis module, wherein: The overall purchasing engineer portrait module is used to generate a purchasing engineer overall personnel distribution unit, a purchasing category personnel distribution unit, a monthly document distribution unit, a first-hang success rate unit, a planned average stay time unit, a purchasing completion rate unit, a service fee recovery rate unit, a purchasing business volume unit, and a purchasing engineer efficiency index comprehensive score ranking unit; the individual purchasing engineer portrait module is used to generate a personal situation unit, a single indicator trend unit, a score and distribution unit, an evaluation method distribution unit, and a unit time ranking change trend unit; the characteristic analysis module is used to analyze and compare the purchasing engineer data collected by the overall purchasing engineer portrait module and the individual purchasing engineer portrait module over time; In the procurement category personnel distribution unit, the procurement categories of procurement engineers include materials, engineering, and services; The scoring and distribution unit generates a radar chart to display the procurement service volume, procurement completion rate, service fee collection rate, first-order success rate, and planned average stay time of the procurement engineer; In the procurement business volume unit and the planned average stay time unit, the procurement business volume is classified into three aspects: non-assessment type, assessment type, and single source.

2. A holographic intelligent profiling method for purchasing personnel, comprising the following steps: A. Collect real-time data from purchasing engineers; B. classifying the collected data; C. Calculate the purchasing engineer effectiveness index based on the data using the effectiveness index model and rank them; D. Generate overall and individual portraits of purchasing engineers and characteristic analysis results respectively; The real-time data includes the personal information of procurement engineers, procurement service volume, procurement completion rate, service fee collection rate, first-time success rate, and average planned stay duration; The step D specifically includes: D1. Based on the collected real-time data, the overall distribution of procurement engineers, distribution of procurement category personnel, monthly document distribution, first-time success rate, average planned stay time, procurement completion rate, service fee recovery rate, procurement business volume, and the comprehensive score ranking of procurement engineer effectiveness indicators are displayed; D2. Based on the collected real-time data, display the individual situation, trend of each individual indicator, score and distribution, evaluation method distribution and ranking change trend per unit time; D3. Display the characteristic analysis results.