Intelligent scoring system for sales

Abstract

An intelligent scoring system for sales relates to the technical field of sales ability assessment, and comprises a model scoring platform, and a scoring application model is arranged in the model scoring platform; test sales data of to-be-scored sales personnel are input in the model scoring platform, the test sales data are input as features, the scoring application model performs scoring according to the test sales data, and the model scoring platform outputs a sales score of the sales; the scoring application model comprises a sales result prediction model, a visit effectiveness evaluation model, a sales capability evaluation model, a sales potential evaluation model and an evaluation rationality evaluation model. The sales intelligent scoring system not only objectively evaluates sales personnel in multiple dimensions, but also can be used for supervising whether superior subjective evaluation is accurate or not, and comprehensively utilizes objectivity and subjectivity to evaluate the sales personnel in different fields.

Description

technical field [0001] The invention relates to the technical field of sales ability evaluation, in particular to an intelligent sales scoring system. Background technique [0002] The traditional judgment of sales is mostly based on performance results, but sales performance and sales results are related to many factors, even accidental factors. So the industry has struggled to score sales through the sales process. However, the commonly used judgments are the number of customer visits and the number of telephone conversations, but these single dimensions perceived by sales are not enough to give an accurate judgment on whether sales are good or not. For example, a good number of visits is not equal to good sales performance, and a good number of telephone communications is not equal to good sales performance. In addition, through evaluation consistency, supervisors judge sales ability and potential based on single dimensions such as performance, visits, and telephone comm...

AI Technical Summary

Problems solved by technology

However, the commonly used judgments are the number of customer visits and the number of telephone conversations, but these single dimensions perceived by sales are not enough to give an accurate judgment on whether sales are good or not

For example, a good number of visits is not equal to good sales performance, and a good number of telephone communications is not equal to good sales performance. In addition, through evaluation consistency, supervisors judge sales ability and potential based on single dimensions such as performance, visits, and telephone communications. , is too subjective, and based on this subjective judgment, it will cause unreasonable goal setting for different salespersons. Therefore, there is room for improvement

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