Robot data statistical analysis method

Abstract

The invention discloses a robot data statistical analysis method, which comprises the following steps that: a robot acquires information such as age, grade, gender and the like of a customer through aface recognition technology, collects crowd attributes of a website, and collects idle and busy periods of the website; the robot guides a client to a specified functional service area through an autonomous motion and navigation control technology, and collects common functional areas; the robot collects service types, handled products, questions, questions and the like which a client is interested in or often consults through voice interaction. The robot can collect the types of services handled by customers through the card swiping and number taking functions of the robot. Finally, the robot performs statistical analysis and regression prediction through the collected data, including statistics, analysis and regression prediction on the arrival idle busy time period, the service handling idle busy time period, the service handling situation, the functional area use situation and the customer consultation situation of customers at a previous website, and can perform classified statistics and analysis in combination with customer groups.

Description

technical field [0001] The invention relates to a statistical method, in particular to a statistical analysis method for robot data. Background technique [0002] In the banking industry or large shopping malls, outlets or business halls try various methods and measures in order to improve performance and achieve rapid development and growth of various businesses. The competition in the financial service industry is actually the competition of service quality, brand innovation, and optimization of resource allocation. The core of competition is high-quality service and improving customer satisfaction. [0003] But there are many problems in the prior art, for example: [0004] 1. The marketing and service strategies formulated by outlets cannot meet the real needs of customers, and cannot accurately position products or services. [0005] 2. Unreasonable network resource allocation. [0006] 3. The flow of customers at outlets fluctuates from time to time, and customers g...

AI Technical Summary

Problems solved by technology

[0004] 1. The marketing and service strategies formulated by outlets cannot meet the real needs of customers, and cannot accurately position products or services

[0005] 2. Unreasonable network resource allocation

[0006] 3. The flow of customers at outlets fluctuates from time to time, and customers get together to deal with problems, the waiting time is too long, and customer satisfaction decreases

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