An intelligent sales clue distribution method based on a recommendation system

A technology of recommendation system and distribution method, applied in the field of intelligent sales lead distribution based on recommendation system, can solve the problems of insufficient consideration of sales personnel, waste of manpower, waste of sales leads, etc., so as to improve the utilization rate of sales lead resources, realize automation, achieve optimal results

Inactive Publication Date: 2019-06-25
校宝在线(杭州)科技股份有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional distribution of sales leads is mainly done manually by the sales manager, which consumes manpower and does not fully consider the characteristics of the sales staff, resulting in a waste of sales leads

Method used

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Embodiment Construction

[0025] The present invention will be further described below in combination with specific embodiments.

[0026] An intelligent sales lead assignment method based on a recommendation system, through a collaborative filtering algorithm, automatically assigns sales leads according to lead scores, including two stages of training and evaluation, in which,

[0027] (1) The steps in the training phase are as follows:

[0028] (11) Establish a sales lead database based on sales lead data and salesperson data; the data in the sales lead database includes the following: sales lead data characteristics and salesperson data characteristics, sales lead data characteristics include trial type, institution type, institution address, trainee Number, source type, source device type, channel, lead creator, release times, intent, whether there is a principal phone number, whether there is a contact phone number, whether there is a contact title, whether there is intention version number, custom...

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Abstract

The invention discloses an intelligent sales clue distribution method based on a recommendation system. The method comprises the following steps: collecting a sales clue database; then extracting related sales clue data features and sales personnel data features to score clues; and establishing a collaborative recommendation system according to the sales clues, the salesmen and the scores, finallypredicting the sales clues according to the collaborative recommendation system, recommending the sales clues according to a prediction result, automatically distributing the sales clues by the collaborative recommendation system, and distributing the sales clues to specific salesmen. The method has the advantages that the collaborative recommendation system is used for achieving intelligent distribution of the sales clues, manpower can be saved, distribution automation can be achieved, the sales clues can be distributed according to the characteristics of sales personnel, distribution optimization of the sales clues is achieved, the sales cycle is effectively shortened, and the utilization rate of the sales clue resources is increased.

Description

technical field [0001] The present invention relates to the technical field of distribution of sales leads, in particular to an intelligent sales lead distribution method based on a recommendation system. Background technique [0002] Sales is the lifeline for the survival and development of an enterprise. A good enterprise needs not only good products but also strong sales ability. For customers who are small and medium-sized education and training institutions, sales mainly involve salespeople marketing via telephone, communicating with principals and teachers of the institution, promoting products, describing functions, and finally reaching a deal. In the Internet age, sales leads are mainly obtained on the Internet through crawlers. In order to improve sales efficiency, distribution of sales leads is particularly important. The traditional distribution of sales leads is mainly done manually by the sales manager, which consumes manpower and does not fully consider the c...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q30/02
Inventor 蒋阳波孙琳
Owner 校宝在线(杭州)科技股份有限公司
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