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Customer recommendation method applied to B2B enterprise service

A technology for enterprise services and customers, which is applied in the Internet field, can solve problems such as long time, high cost, and interruption of enterprise service demanders, and achieve the effects of improving work efficiency, high matching, and reducing manual screening work

Inactive Publication Date: 2018-11-20
北京易知创新数据科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantages of this method are: 1. The cost of advertising and media soft articles is high, the customer is not accurate, and the cycle is long; 2. The friend introduction is unstable and cannot grow in scale; 3. The enterprise service demander searches based on the search engine, which is The demand side needs to know what they want first, and then go to the massive information to filter. The whole process takes a long time and is inefficient.
Proactive means that the salesperson of the enterprise service provider searches for potential customers based on the search engine, and then contacts the potential customers through the queried information. The existing problems of the proactive method are: 1. The service provided by the enterprise service provider is incompatible with The needs of the enterprise service demand side are not equal, so that the enterprise service demand side is often disturbed, and the enterprise service provider is in vain; 2. Many enterprise service suppliers frequently contact the enterprise service demand side, which makes the enterprise service demand side overwhelmed It disturbs

Method used

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  • Customer recommendation method applied to B2B enterprise service

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] The application of this embodiment is based on the following reasons. In the B2B business process, a problem that often occurs is that a large number of service providers cannot be accurately matched with a large number of demand parties. For example, what Company A needs is patent agency service. When Company A searches on a search engine, there are a large number of advertisements and related webpages published by the patent agency service, and these companies that publish advertisements and related webpages do not necessarily have agency qualifications or have already If it is on the blacklist, then for Company A, the search results contain some results that are not suitable for its company, and the identification process is more troublesome.

[0030] In the B2B business process, Company B, the enterprise service provider, needs to find potential customers through search engines. There are a large number of potential customers searched by search engines, and it is dif...

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PUM

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Abstract

The invention discloses a customer recommendation implementation method applied to the B2B enterprise service. The method comprises the following steps: (1) an enterprise service provider creates a supplier model, the enterprise requirements of the enterprise service provider are collected, the enterprise data of an enterprise service demander are collected and the demander value of the enterpriseservice demander is generated; (2) the enterprise service provider and / or the enterprise service demander send / sends a search instruction; 3) the data of the enterprise service provider are collectedso as to generate the basic information of enterprise service provider; 4) the supplier screening conditions are generated according to the enterprise demand, whether the basic information of the enterprise service supplier matches with the screening conditions is judged, the step (5) is performed if the judgment result is yes, or the process is ended; (5) the matching degree between the enterprise service provider and the enterprise service demand is calculated through the supplier model and the demander value; and (6) the matching degree is sorted and the matching degree result is outputtedto the enterprise service supplier and demander according to the sorting.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method for implementing customer recommendation applied to B2B enterprise services. Background technique [0002] As more and more enterprises enter the market, both the demand side and the supply side of enterprise services are facing new challenges and opportunities. For the enterprise service provider, the main ways to acquire customers include active and passive methods. Passive means that the enterprise service provider places advertisements, media soft articles, friend introductions, or the enterprise service demander conducts engine search, so that the enterprise service demander and enterprise service Suppliers take the initiative to contact. The disadvantages of this method are: 1. The cost of advertising and media soft articles is high, the customer is not accurate, and the cycle is long; 2. The friend introduction is unstable and cannot grow in scale; 3. The en...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00G06Q30/02
CPCG06Q30/01G06Q30/0282
Inventor 郑晓希其他发明人请求不公开姓名
Owner 北京易知创新数据科技有限公司