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Artificial intelligence assessment method for supplier credit of bulk building material internet transaction platform

A trading platform and artificial intelligence technology, applied in data processing applications, commerce, instruments, etc., can solve the problems of lack of internal transaction data in the construction industry, inaccurate evaluation results, etc., to reduce sample feature dimensions, improve feature extraction capabilities, and speed up Evaluate the effect of speed

Pending Publication Date: 2022-01-28
筑客网络技术(上海)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, most of these third-party credit agencies only analyze and evaluate the general basic data of building material suppliers (such as industry and commerce, justice, operating conditions, taxation, etc.), lacking the support of internal transaction data in the construction industry, resulting in inaccurate evaluation results

Method used

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  • Artificial intelligence assessment method for supplier credit of bulk building material internet transaction platform
  • Artificial intelligence assessment method for supplier credit of bulk building material internet transaction platform

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Embodiment Construction

[0083] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0084] The embodiment of the present invention relates to the credit artificial intelligence evaluation method of the supplier of bulk building materials Internet trading platform. The method is based on the transaction data of the bulk building materials trading platform in the construction industry and the data of the third-party credit platform, and the artificial intelligence algorithm starts from the two types of data respe...

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Abstract

The invention relates to the field of artificial intelligence, in particular to an artificial intelligence assessment method for supplier credit of a bulk building material internet transaction platform, which comprises the following steps: acquiring supplier data; according to the supplier data, evaluating the occurrence probability of the credit behavior of the supplier by using artificial intelligence; and converting the occurrence probability of the credit behavior into a credit score. The invention is high in evaluation accuracy, high in evaluation speed, stable and reliable.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence evaluation method for credit of suppliers of bulk building materials Internet trading platforms. Background technique [0002] The modern market economy is a credit economy. From the perspective of credit subjects, the social credit system is composed of government credit, corporate credit and personal credit. Among them, the most critical, active and influential one is corporate credit. Enterprise credit is not only concerned by investors or lenders in the financial market, but also in the general transaction market. With the development of economic contractualization, enterprise credit will become a prerequisite for cooperation and transactions. Therefore, the construction of enterprise credit system is the top priority of the construction of the entire social credit system. [0003] After several years of extensive development, the ...

Claims

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Application Information

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IPC IPC(8): G06Q30/00G06K9/62
CPCG06Q30/018G06F18/25G06F18/24323G06F18/214
Inventor 须峰李传中施海鹰王代宗代毅
Owner 筑客网络技术(上海)有限公司
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