Salesman assessment method, system and device and storage medium

Abstract

The invention provides a salesman assessment method, system and device and a storage medium, and the method comprises the steps: extracting a specified to-be-answered question of a salesman from a question database, and pushing the specified to-be-answered question to a salesman terminal; matching auditors according to the first attribute value of each first attribute of the specified to-be-answered question, and pushing the specified to-be-answered question and the corresponding answering data to the corresponding auditor terminal; obtaining first feedback data from an auditor terminal as auditing data of a salesman; determining the grade of the salesman according to the audit data and a preset assessment grade evaluation condition; and pushing the grade of the salesman to the salesman terminal. By the adoption of the scheme, salesman assessment is achieved based on skill assessment in the mode that the salesman answers the virtual customer questions, a large amount of data processingis not needed, matching is conducted according to the questions and auditors, skill assessment auditing efficiency is improved, and the skill level of the salesman is improved through suggestion feedback of the auditors.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a salesman assessment method, system, equipment and storage medium. Background technique [0002] With the rapid development of business, the number of salesmen is also increasing, and how to conduct a more reasonable assessment of salesmen has become an issue of increasing concern. After assessing the salesperson, each salesperson can be rated, and customer resources can be allocated according to the rating of the salesperson. The assessment of salespersons in the prior art is generally based on the statistics of the performance of salespersons, and the salespersons are graded. However, this approach has many drawbacks. [0003] On the one hand, the evaluation standard of this assessment method is relatively simple, and only relying on the salesman's performance to carry out grade evaluation cannot reflect the real skill level of the salesman well. When assigni...

AI Technical Summary

Problems solved by technology

However, this approach has many drawbacks

[0003] On the one hand, the evaluation standard of this assessment method is relatively simple, and only relying on the salesman's performance to carry out grade evaluation cannot reflect the real skill level of the salesman well. When assigning key customers according to the salesman's grade, it may not be able to meet the key points Customer's special needs, and reduce the customer's service experience

On the other hand, the performance data of each salesperson may fluctuate greatly in different periods of time. If the assessment is only based on the statistics of performance data within a period of time, the results of the salesperson assessment may vary greatly due to changes in performance data. Therefore, this evaluation method needs to rely on the statistics of a large amount of performance data to reflect the average performance level of the salesperson, and the amount of data processing is large, which brings a greater burden to the evaluation system

In addition, on the other hand, some orders may be caused by the cooperation of multiple salesmen. The performance calculation method of each salesman is very responsible, and it is easy to cause confusion among multiple salesmen, resulting in the final evaluation result Inaccurate

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