Market insight analysis method, system and equipment based on production data service and medium

Abstract

The invention discloses a market insight analysis method, system, equipment and medium based on production business, and belongs to the technical field of enterprise management software and production intelligence insight, aiming at the problem of low market insight efficiency of the existing production business. The method comprises the following steps: extracting user collection information; analyzing different dimensions of the production business, including bid invitation analysis, bid winning analysis, industry analysis, city analysis and friend business analysis; arranging a production business process according to the user collection information and an analysis result of the analysis center; and matching the production data business process with the salesman jurisdiction range of the enterprise, and issuing a corresponding order dispatching task to the salesman according to a matching result. According to the invention, a full-process automatic processing platform of automatic acquisition, automatic identification, automatic processing and automatic analysis of production data business items can be realized, so that the market insight ability of sales personnel in production data business is improved.

Description

Technical Field

[0001] The present invention belongs to the field of enterprise management software and production data intelligence insight technology, and specifically relates to a market insight analysis method, system, device and medium based on production data business. Background Art

[0002] Traditionally, procurement information is published on various procurement platforms. Enterprises usually need to take the initiative to search and view on the website, which takes a lot of time and energy. The following are some of the main problems that exist: If enterprises need to understand the information published on multiple procurement websites, they need to open and view the procurement project information one by one, and identify whether it is a DICT business. DICT: refers to different links and fields in the digitalization process, "D" stands for digitalization, "I" stands for informatization, "C" stands for cloud computing, and "T" stands for communication technology. However, it is impossible to understand the market share of DICT business, the distribution of operators' winning projects, and the potential project information in the future from the non-public market. As a result, it is impossible to intervene in the bidding project in advance, which greatly reduces the project participation and project winning rate; procurement data is based on the above pain points, data duplication: in the process of finding projects, you will see a lot of project information with the same content, but it is distributed on different websites, resulting in frequent repeated business information, which greatly takes up the time for business information exploration.

[0003] In summary, the existing market insight efficiency of digital production business is low, and it is impossible to intuitively understand the market development situation. There is an urgent need for an insight platform for digital production business, which can realize the full process automation of automatic acquisition, automatic identification, automatic processing and automatic analysis of digital production business projects, thereby enhancing the market insight ability of sales personnel in digital production business. Summary of the invention

[0004] The present invention aims at the deficiencies in the prior art and provides a market insight analysis method, system, device and medium based on production data business to solve the problem that it is difficult and slow for existing enterprises to obtain production data business. Through the present invention, the collection, aggregation, integration and processing of production data business can be realized.

[0005] To achieve the above object, the present invention adopts the following technical solutions: A market insight analysis system based on production data business, comprising: Business Information Center, used to provide users with recruitment and procurement information; The analysis center is used to analyze different dimensions of digital business, including bidding analysis, winning bid analysis, industry analysis, city analysis, and competitor analysis; The process orchestration center is used to orchestrate the production business process based on the user's procurement information and the analysis results of the analysis center; The order dispatch center is used to match the production business process with the jurisdiction of the company's sales personnel, and issue corresponding order dispatch tasks to the sales personnel based on the matching results.

[0006] To optimize the above technical solutions, the specific measures taken also include: Furthermore, the user procurement information includes: the project name, project amount, procurement unit, procurement time and planned construction content of the production business.

[0007] Furthermore, the bidding analysis specifically includes: visual analysis of the number of projects, project amounts, industries and regions of the published bidding information; the winning bid analysis specifically includes: visual analysis of the number of projects, project amounts, industries and regions of the published winning bid information; the industry analysis specifically includes: taking the production industry as the entry point, analyzing the number of bidding projects, bidding project amounts, number of winning projects and amount of winning projects in each industry, to assist enterprises in understanding the distribution of industry-related production business; the city analysis specifically includes: taking the cities where the production business is distributed as the entry point, analyzing the number of bidding projects, bidding project amounts, number of winning projects and amount of winning projects.

[0008] Furthermore, the business process of arranging the production data according to the user's procurement information and the analysis results of the analysis center is specifically as follows: Semantic recognition and big language models are used to clean data on project names, project amounts, purchasing units, project regions and purchasing time of data production business. The semantic recognition model is used to identify the semantics of the cleansed data, and the semantics are input into the big language model to generate an orchestrated data production business process and label the data production business process.

[0009] The present invention also discloses a market insight analysis method based on production data business, comprising the following steps: Extract user procurement information; Analyze different dimensions of digital business, including bidding analysis, winning bid analysis, industry analysis, city analysis, and competitor analysis; Arrange production business processes based on user procurement information and analysis results from the analysis center; Match the production business process with the jurisdiction of the company's sales personnel, and issue corresponding order tasks to the sales personnel based on the matching results.

[0010] To optimize the above technical solutions, the specific measures taken also include: Furthermore, the user procurement information includes: the project name, project amount, procurement unit, procurement time and planned construction content of the production business.

[0011] Furthermore, the bidding analysis specifically includes: visual analysis of the number of projects, project amounts, industries and regions of the published bidding information; the winning bid analysis specifically includes: visual analysis of the number of projects, project amounts, industries and regions of the published winning bid information; the industry analysis specifically includes: taking the production industry as the entry point, analyzing the number of bidding projects, bidding project amounts, number of winning projects and amount of winning projects in each industry, to assist enterprises in understanding the distribution of industry-related production business; the city analysis specifically includes: taking the cities where the production business is distributed as the entry point, analyzing the number of bidding projects, bidding project amounts, number of winning projects and amount of winning projects.

[0012] Furthermore, the business process of arranging the production data according to the user's procurement information and the analysis results of the analysis center is specifically as follows: Semantic recognition and big language models are used to clean data on project names, project amounts, purchasing units, project regions and purchasing time of data production business. The semantic recognition model is used to identify the semantics of the cleansed data, and the semantics are input into the big language model to generate an orchestrated data production business process and label the data production business process.

[0013] The present invention also discloses an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the market insight analysis method based on production data business as described above is implemented.

[0014] The present invention also discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the market insight analysis method based on the production data business as described above.

[0015] The beneficial effect of the present invention is that after capturing data from multiple sources, the present invention uses NLP semantic recognition and large model algorithms to identify the project name, project amount, procurement / bid-winning unit, and release / bid-winning time in the business information, thereby achieving the DICT project's compliance, and at the same time, normalizing the business information and identifying the business relationship based on the information. This improves users' project recognition of DICT business and improves the efficiency of insight into the production business. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A block diagram of the market insight analysis system based on production data business proposed by the present invention; Figure 2 Page diagram of the business information center in the product developed for the present invention; Figure 3 A page diagram of the analysis center in the product developed for the present invention; Figure 4This is a schematic diagram of an analysis report obtained by applying the market insight analysis system based on production data business of the present invention. DETAILED DESCRIPTION

[0017] The present invention will now be described in further detail with reference to the accompanying drawings.

[0018] Embodiment 1

[0019] The present invention proposes a market insight analysis system based on production data business, such as Figure 1 As shown, including: The business information center is used to provide users with procurement information; user procurement information includes: project name, project amount, procurement unit, procurement time and planned construction content of the production business.

[0020] The analysis center is used to analyze different dimensions of the production and digital business, including bidding analysis, successful bid analysis, industry analysis, city analysis and friendly competitor analysis; the bidding analysis is specifically: a visual analysis of the number of projects, project amounts, industries and regions of the published bidding information; the successful bid analysis is specifically: a visual analysis of the number of projects, project amounts, industries and regions of the published successful bid information; the industry analysis is specifically: taking the production and digital industry as the entry point, analyzing the number of bidding projects, bidding project amounts, number of successful bid projects and amount of successful bid projects in each industry, to assist enterprises in understanding the distribution of industry-related production and digital business; the city analysis is specifically: taking the cities where the production and digital business is distributed as the entry point, analyzing the number of bidding projects, bidding project amounts, number of successful bid projects and amount of successful bid projects.

[0021] The process orchestration center is used to orchestrate the production business process based on the user's procurement information and the analysis results of the analysis center; specifically: Semantic recognition and big language models are used to clean data on project names, project amounts, purchasing units, project regions and purchasing time of data production business. The semantic recognition model is used to identify the semantics of the cleansed data, and the semantics are input into the big language model to generate an orchestrated data production business process and label the data production business process.

[0022] The order dispatch center is used to match the production business process with the jurisdiction of the company's sales personnel, and issue corresponding order dispatch tasks to the sales personnel based on the matching results.

[0023] After the user logs in to the system: In the business information center, you can search for production intelligence information based on business information classification, city, time, project amount, industry classification and other dimensions. Check the project name, release time, project amount, whether it is a DICT project, and industry label of the business information. At the same time, you can search for information business information based on industry type, city and other dimensions. Follow up on the business information / information you follow up.

[0024] When users need to analyze the market share and evolution of digital production services, they can enter the analysis center to view the procurement of the digital production market and the distribution of winning projects. They can also view the development of digital production services in a certain city / industry. If they want to understand the competitive situation, they can make a horizontal comparison with friendly companies based on operator analysis.

[0025] If users need to check the status of their own or managed order dispatching tasks, they can enter the order dispatching center to follow up on the business information. At the same time, they can view the statistics of the business information processing process and results within the control scope.

[0026] Through the organic combination of the above-mentioned functional modules, the data production business insight platform of the present invention can greatly improve the user's capture efficiency and analysis capabilities in data production business, help users to timely understand market development trends, and provide intelligence support for users' business layout and strategic development.

[0027] Embodiment 2

[0028] The present invention proposes a market insight analysis method based on production data business, comprising the following steps: Extract user procurement information; user procurement information includes: project name, project amount, procurement unit, procurement time and planned construction content of production business.

[0029] Analyze different dimensions of the production business, including bidding analysis, successful bid analysis, industry analysis, city analysis and competitor analysis; the bidding analysis is specifically: visual analysis of the number of projects, project amounts, industries and regions of the published bidding information; the successful bid analysis is specifically: visual analysis of the number of projects, project amounts, industries and regions of the published successful bid information; the industry analysis is specifically: taking the production industry as the entry point, analyzing the number of bidding projects, bidding project amounts, number of successful bid projects and amount of successful bid projects in each industry, to assist enterprises in understanding the distribution of industry-related production business; the city analysis is specifically: taking the cities where the production business is distributed as the entry point, analyzing the number of bidding projects, bidding project amounts, number of successful bid projects and amount of successful bid projects.

[0030] Arrange the production business process based on the user's procurement information and the analysis results of the analysis center; specifically: Semantic recognition and big language models are used to clean data on project names, project amounts, purchasing units, project regions and purchasing time of data production business. The semantic recognition model is used to identify the semantics of the cleansed data, and the semantics are input into the big language model to generate an orchestrated data production business process and label the data production business process.

[0031] Match the production business process with the jurisdiction of the company's sales personnel, and issue corresponding order tasks to the sales personnel based on the matching results.

[0032] Embodiment 3

[0033] The present invention proposes an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the market insight analysis method based on the production data business as described in the second embodiment is implemented.

[0034] Embodiment 4

[0035] The present invention provides a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the market insight analysis method based on the production data business as described in the second embodiment.

[0036] The page diagram of the business information center in the product developed by the present invention is as follows: Figure 2 As shown; the page diagram of the analysis center in the product developed by the present invention is as follows Figure 3 As shown, the analysis report obtained by applying the market insight analysis system based on the production data business of the present invention is shown in FIG. Figure 4 shown.

[0037] In the embodiments disclosed in the present application, the computer storage medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or apparatus. The computer storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. More specific examples of computer storage media may include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0038] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0039] The above are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should be regarded as the protection scope of the present invention.

Claims

1. A market insight analysis system based on data production business, characterized in that: include: Business Information Center, used to provide users with recruitment and procurement information; The analysis center is used to analyze different dimensions of digital business, including bidding analysis, winning bid analysis, industry analysis, city analysis, and competitor analysis; The process orchestration center is used to orchestrate the production business process based on the user's procurement information and the analysis results of the analysis center; The order dispatch center is used to match the production business process with the jurisdiction of the company's sales personnel, and issue corresponding order dispatch tasks to the sales personnel based on the matching results.

2. The market insight analysis system based on data production business according to claim 1, characterized in that: The user procurement information includes: project name, project amount, procurement unit, procurement time and planned construction content of the production business.

3. The market insight analysis system based on data production business according to claim 1, characterized in that: The bidding analysis specifically includes: visual analysis of the number of projects, project amounts, industries and regions of the published bidding information; the winning bid analysis specifically includes: visual analysis of the number of projects, project amounts, industries and regions of the published winning bid information; the industry analysis specifically includes: taking the production industry as the entry point, analyzing the number of bidding projects, bidding project amounts, number of winning projects and amount of winning projects in each industry, to assist enterprises in understanding the distribution of industry-related production business; the city analysis specifically includes: taking the cities where the production business is distributed as the entry point, analyzing the number of bidding projects, bidding project amounts, number of winning projects and amount of winning projects.

4. The market insight analysis system based on data production business according to claim 1, characterized in that: The business process of arranging production data based on the user's procurement information and the analysis results of the analysis center is specifically as follows: Semantic recognition and big language models are used to clean data on project names, project amounts, purchasing units, project regions and purchasing time of data production business. The semantic recognition model is used to identify the semantics of the cleansed data, and the semantics are input into the big language model to generate an orchestrated data production business process and label the data production business process.

5. A market insight analysis method based on production data business, characterized in that: The following steps are involved: Extract user procurement information; Analyze different dimensions of digital business, including bidding analysis, winning bid analysis, industry analysis, city analysis, and competitor analysis; Arrange production business processes based on user procurement information and analysis results from the analysis center; Match the production business process with the jurisdiction of the company's sales personnel, and issue corresponding order tasks to the sales personnel based on the matching results.

6. The market insight analysis method based on production data business according to claim 5, characterized in that: The user procurement information includes: project name, project amount, procurement unit, procurement time and planned construction content of the production business.

7. The market insight analysis method based on data production business according to claim 5, characterized in that: The bidding analysis specifically includes: visual analysis of the number of projects, project amounts, industries and regions of the published bidding information; the winning bid analysis specifically includes: visual analysis of the number of projects, project amounts, industries and regions of the published winning bid information; the industry analysis specifically includes: taking the production industry as the entry point, analyzing the number of bidding projects, bidding project amounts, number of winning projects and amount of winning projects in each industry, to assist enterprises in understanding the distribution of industry-related production business; the city analysis specifically includes: taking the cities where the production business is distributed as the entry point, analyzing the number of bidding projects, bidding project amounts, number of winning projects and amount of winning projects.

8. The market insight analysis method based on data production business according to claim 5, characterized in that: The business process of arranging production data based on the user's procurement information and the analysis results of the analysis center is specifically as follows: Semantic recognition and big language models are used to clean data on project names, project amounts, purchasing units, project regions and purchasing time of data production business. The semantic recognition model is used to identify the semantics of the cleansed data, and the semantics are input into the big language model to generate an orchestrated data production business process and label the data production business process.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the market insight analysis method based on the production data business as described in any one of claims 5 to 8 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored, and the computer program enables the computer to execute the market insight analysis method based on the data production business as described in any one of claims 5-8.

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