Clue scoring method based on communication data
A clue and data technology, applied in the field of computer information, can solve problems such as inaccurate judgment of clue intention, wrong data tampering, manual wrong data filling, etc., to achieve the effect of improving the conversion rate of clues and operation efficiency, and improving the success rate of clue conversion
Inactive Publication Date: 2020-08-07
北京睿科伦智能科技有限公司
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Problems solved by technology
Despite the best efforts of the sales business management department, these systems also have a series of problems such as missing data, manually filling in wrong data, wrongly tampering with data, etc., resulting in inaccurate or failed judgment of the final clue intention
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[0025] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0026] according to figure 1 , figure 2 As shown in the flow chart of , a method for scoring clues based on communication data is characterized in that it includes the following steps:
[0027] Step 1: Collect communication data;
[0028] Step 2: converting the communication data into interactive text;
[0029] Step 3: Perform data preprocessing on the interaction text and order data to obtain multiple clues and labels corresponding to each of the clues, the labels include positive exa...
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The invention relates to the technical field of computer information, in particular to a clue scoring method based on communication data, which mainly comprises the following steps of: 1, collecting the communication data; 2, converting the communication data into an interaction text; 3, carrying out data preprocessing on the interactive text and the order data, obtaining multiple clues and labelscorresponding to the clues, wherein the labels comprise positive example labels and negative example labels; 4, preparing a natural language processing pre-training model; 5, training and testing thepre-training model through the clues; and step 6, generating a clue scoring result. According to the invention, artificial intelligence technologies such as speech recognition, natural language processing, machine learning and the like are used for improving the clue conversion success rate of telephone salesmen, so that each telephone salesman can more accurately touch potential customers with stronger intention, the overall clue conversion rate and the operation efficiency are improved, and effective data can be more rapidly touched.
Description
technical field [0001] The invention relates to the field of computer information technology, in particular to a clue scoring method based on communication data. Background technique [0002] Currently, in the field of telemarketing, sales and marketing personnel need to spend several hours a day to follow up the sales leads in the lead pool. How to screen out the leads that should be followed up by the salesperson first so as to improve the final lead conversion rate is an urgent problem currently facing. [0003] The traditional telemarketing industry relies on the use of customer relationship management systems (CRM), through which sales and marketing personnel cumbersomely input lead-related data into the system, and manually judge the ordering intention of leads, so as to select leads that should be followed up. Despite the best efforts of the sales business management department, there are still a series of problems in these systems, such as missing data, manually fil...
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IPC IPC(8): G06Q30/02G06Q10/06H04M3/51
CPCG06Q30/0201G06Q30/0202G06Q10/06393H04M3/51
Inventor 杨植麟杜羽伦陈虞君张宇韬
Owner 北京睿科伦智能科技有限公司