View source for CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD. (20240236236). METHOD, INTERNET OF THINGS SYSTEM, AND MEDIUM FOR SMART CUSTOMER SERVICE MANAGEMENT OF SMART GAS CALL CENTER simplified abstract

=METHOD, INTERNET OF THINGS SYSTEM, AND MEDIUM FOR SMART CUSTOMER SERVICE MANAGEMENT OF SMART GAS CALL CENTER=


==Organization Name==

[[:Category:CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.|CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.]]


[[Category:CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.]]

==Inventor(s)==

[[:Category:Zehua Shao of Chengdu (CN)|Zehua Shao of Chengdu (CN)]][[Category:Zehua Shao of Chengdu (CN)]]

[[:Category:Yaqiang Quan of Chengdu (CN)|Yaqiang Quan of Chengdu (CN)]][[Category:Yaqiang Quan of Chengdu (CN)]]

[[:Category:Xiaojun Wei of Chengdu (CN)|Xiaojun Wei of Chengdu (CN)]][[Category:Xiaojun Wei of Chengdu (CN)]]

[[:Category:Bin Liu of Chengdu (CN)|Bin Liu of Chengdu (CN)]][[Category:Bin Liu of Chengdu (CN)]]

[[:Category:Yuefei Wu of Chengdu (CN)|Yuefei Wu of Chengdu (CN)]][[Category:Yuefei Wu of Chengdu (CN)]]

==METHOD, INTERNET OF THINGS SYSTEM, AND MEDIUM FOR SMART CUSTOMER SERVICE MANAGEMENT OF SMART GAS CALL CENTER - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240236236 titled 'METHOD, INTERNET OF THINGS SYSTEM, AND MEDIUM FOR SMART CUSTOMER SERVICE MANAGEMENT OF SMART GAS CALL CENTER

The present disclosure introduces a method, an internet of things system, and a medium for smart customer service management of a smart gas call center. The method involves obtaining gas usage data, predicting call features of the smart gas call center, generating candidate seat features, optimizing these features, and determining the preferred seat feature within a target time period.

* Obtaining gas usage data
* Predicting call features of the smart gas call center
* Generating candidate seat features based on the predicted call features
* Performing iterative optimization on the candidate seat features
* Determining the preferred seat feature within the target time period

Potential Applications:
- Enhancing customer service efficiency in gas call centers
- Improving resource allocation based on predicted call features
- Optimizing seat features to meet customer service demands

Problems Solved:
- Efficient management of smart gas call centers
- Predicting call features to streamline customer service operations
- Optimizing seat features for better service delivery

Benefits:
- Increased customer satisfaction
- Enhanced operational efficiency
- Improved resource utilization

Commercial Applications:
Title: Smart Gas Call Center Optimization System
This technology can be utilized in various industries such as telecommunications, utilities, and customer service centers to enhance operational efficiency and customer satisfaction.

Questions about Smart Gas Call Center Optimization System:
1. How does the method predict call features of the smart gas call center?
The method predicts call features based on obtained gas usage data and iterative optimization of candidate seat features.

2. What are the potential benefits of implementing this system in a customer service center?
Implementing this system can lead to increased customer satisfaction, enhanced operational efficiency, and improved resource utilization.


==Original Abstract Submitted==

the present disclosure provides a method, an internet of things system, and a medium for smart customer service management of a smart gas call center. the method includes: obtaining gas usage data; generating, based on the gas usage data, a predicted call feature of a smart gas call center within a target time period; generating, based on the predicted call feature, at least one group of candidate seat features; performing at least one round of iterative optimization on the at least one group of candidate seat features, and determining a preferred seat feature of the smart gas call center within the target time period; wherein the iterative optimization includes: calculating an evaluation value of the at least one group of candidate seat features; and performing an elimination screening on the evaluation value; and transmitting the preferred seat feature to a terminal of the smart gas call center.



[[Category:H04M3/523]]
[[Category:G06Q10/0631]]
[[Category:G06Q30/015]]
[[Category:G06Q50/06]]
[[Category:H04M3/51]]
[[Category:CPC_H04M3/5232]]