Complaint pre-treatment method as well as complaint treatment method, device and system
A technology of a preprocessing device and a processing method, applied in electrical components, wireless communication and other directions, can solve the problems of occupying customer service lines, low customer satisfaction, increasing the working time of service personnel and customer service costs, etc., to achieve rapid processing, reduce The effect of occupying the complaint line and complaint handling time and reducing customer service costs
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0030] figure 1 It is a flow chart of Embodiment 1 of the complaint preprocessing method according to the present invention. Such as figure 1 As shown, this embodiment includes:
[0031] Step S102: Collect customer complaint data and classify them according to different types of customer complaints;
[0032] Step S104: For each type of complaint, extract information features related to this type of complaint from the customer complaint data;
[0033] Step S106: Scan all customers according to the information characteristics, and find the predicted complaining customers matching the complaint information characteristics;
[0034] Step S108: Carry out complaint preprocessing for the predicted complaining customers.
[0035] This embodiment mainly analyzes and extracts the information features of the complained customers based on the customer data information that has already complained, so as to establish the corresponding relationship between the complaint information featu...
Embodiment 2
[0037] figure 2 It is a flow chart of Embodiment 2 of the complaint preprocessing method according to the present invention. Such as figure 2 As shown, this embodiment includes:
[0038] Step S202: extract various types of customer complaint lists, and classify them according to different complaint types, such as fee complaints, service complaints, network complaints, etc.;
[0039] Step S204: For each type of complaint, extract the characteristics of complaint information related to this type of complaint from the lists of complained customers, which are generally common characteristics of this type of complaint. For example:
[0040] ① For fee complaints, analyze the data of all customer accounts, payment, discounts and promotions that have occurred in such complaints, and find out common characteristics, such as discount configuration errors, write-off errors, etc.
[0041] ② For complaints caused by real-time reasons, there is no need to mine historical complaint cus...
Embodiment 3
[0056] figure 2 For each type of complaint in step S204, the specific process of extracting the characteristics of complaint information related to this type of complaint from the list of complaining customers may include the following steps:
[0057] 1. Extract the customer complaint data of a certain complaint type, and use data mining technology, such as logistic regression model, neural network, decision tree, etc., to conduct data mining model training on the customer complaint data of this complaint type;
[0058] 2. Analyze the actual non-complaint customers according to the trained model, and obtain the predicted complaint customers;
[0059] 3. Submit the results obtained in step 2 to the customer service department for verification, to see whether these customers have made complaints (accuracy rate), and the proportion of the mining results to complaining customers (coverage rate);
[0060] 4. Balance the accuracy rate and coverage rate, and determine the model or ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com