Method for optimizing telephone sales work performance by using smart watch

Abstract

The invention discloses a method for optimizing telephone sales work performance by using a smart watch, which is characterized by comprising the following steps: selecting a batch of sampling telephone salesmen, performing association classification analysis, and establishing a data classification model via the Near-real-time detection data of heartbeat and environment volume of smart watch wornby mobile phone in combination with the summarized historical work data of telephone salesmen in a sales system in same time period ; according to the related data collected by the smart watch in a certain period of time, inputting data into the data classification model to obtain the corresponding work performance classification, and pushing different types and numbers of to-be-contacted customerclues according to the performance classification, so that according to the current work performance and a proper strategy, the sales system can automatically match proper sales workload and work objects, thereby achieving the effect of improving sales work performance.

Description

technical field [0001] The invention relates to the field of combining smart wearable equipment and a telemarketing system, in particular to a method for optimizing telemarketing work performance by using a smart watch. Background technique [0002] The core profit of a sales company comes from the work performance of its sales team. Because the sales team has a large number of people, high mobility, and high management costs, its performance improvement methods generally only use monthly or quarterly performance appraisals to conduct performance appraisals on its actual sales orders and provide incentives for them. [0003] Due to poor timeliness, traditional methods cannot monitor and promote sales performance in real time during the sales process. For the allocation of the company's valuable marketing customer leads to be processed, it can only be allocated according to some pre-agreed rules that cannot be dynamically modified in real time. As a result, lead resources ca...

AI Technical Summary

Problems solved by technology

[0004] Patent CN202010155127- Physiological data characteristic value acquisition method, classifier establishment method, classification method, classifier and classification system, including extracting physiological data, training classifier and classifying physiological data, but its application scenario is digestive tract data collection, in which The selection and processing of physiological data and the use of classifiers are highly pertinent and limited, and cannot be directly or indirectly applied to the telemarketing scenario of this case

[0005] Patent CN201910375153 - A fatigue evaluation system and evaluation method based on dual-mode bioelectrical signals and physiological data, including monitoring and collecting physiological information, using the analysis of physiological data to intervene in work, but the specific monitoring of physiological information There are too many contents, and the relationship with the work scene is very complicated, with strong pertinence and limitations, and cannot be directly transferred to the telemarketing scene of this case, and there is no obvious enlightenment, so it cannot be directly or indirectly applied to the telemarketing work middle

[0006] Patent CN201911222034-Workload evaluation method weakly coupled with the job task scene, including the collection of physiological data, the workload index is given through the index evaluation rules, and the distribution of work content can be optimized according to it, but the evaluation method is carried out through the stimulus sequence It will inevitably cause interference and impact on normal work, and the timeliness is poor, and the setting of the stimulus sequence is too complicated and difficult to implement. After the workload is measured, no specific follow-up countermeasures are given, and it cannot be applied to the actual work scene of this case.

Images