A staff dispatching system based on customer behavior identification in a physical store

Abstract

The invention provides a staff dispatching system based on customer behavior identification in a physical store. The system enables employees in the physical store to provide service for customers more effectively. The system includes a video capture subsystem of a physical store, a Customer Event Generation Subsystem, a Customer Behavior Database and a shop assistant dispatching subsystem , the video acquisition subsystem of the physical store is used for acquiring video data of each part in the physical store, the customer event generation subsystem is used for identifying identity information according to the video data, focusing on commodity information and behavior information to generate customer events, the customer behavior database is used for storing the customer events, and theshop assistant dispatching subsystem is used for issuing dispatching orders and service information to the shop assistant according to the customer events. Customer satisfaction is increased by effectively identifying customer needs and assigning salespersons to service at appropriate times, and the effectiveness of salespersons is improved by providing salespersons with marketing and discount information based on customer personal information.

Description

technical field [0001] The invention relates to new retail dispatching technology for physical stores, in particular to a clerk dispatching system based on customer behavior recognition in physical stores. Background technique [0002] Traditional retail is facing fierce competition from online retail, and the living space of traditional offline stores has been squeezed and faced with the pressure of transformation. Traditional offline retail needs to become smarter and more efficient, and improve customer shopping experience, so as to achieve symbiosis with online sales. [0003] At present, there are a large number of sales personnel and in-store service personnel in large physical stores, but the lack of effective personnel scheduling management has caused the sales personnel to serve customers with great randomness, wasting a lot of labor costs. The close scrutiny of shop assistants and salespeople can also create discomfort for customers shopping. Moreover, due to the...

AI Technical Summary

Problems solved by technology

[0003] At present, there are a large number of sales personnel and in-store service personnel in large physical stores, but the lack of effective personnel scheduling management has caused the sales personnel to serve customers with great randomness, wasting a lot of labor costs

The close scrutiny of shop assistants and salespeople can also cause shopping discomfort for customers

Moreover, due to the lack of understanding of each customer by the promoters and shop assistants, the promotions and services carried out also have a lot of blindness.

In addition, physical stores also lack effective tools to measure the performance of shop assistants, so that the active work of shop assistants has not received effective feedback, and it is difficult for managers to fully measure the value of a shop assistant

The efficiency of traditional physical stores caused by the above points is greatly reduced, and they cannot effectively compete with online stores and convenience stores.

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