TY - JOUR
T1 - A blockchain and automl approach for open and automated customer service
AU - Li, Zhi
AU - Guo, Hanyang
AU - Wang, Wai Ming
AU - Guan, Yijiang
AU - Barenji, Ali Vatankhah
AU - Huang, George Q.
AU - McFall, Kevin S.
AU - Chen, Xin
N1 - Funding Information:
Manuscript received October 31, 2018; revised December 22, 2018 and January 23, 2019; accepted February 10, 2019. Date of publication February 22, 2019; date of current version June 12, 2019. This work was supported in part by the Natural Science Foundation of Guangdong Province under Grant 2018A0303130035, and in part by the China Postdoctoral Science Foundation under Grant 2018M630928 and Grant 2018M633008. Paper no. TII-18-2856. (Corresponding author: Wai Ming Wang.) Z. Li, H. Guo, W. M. Wang, Y. Guan, A. V. Barenji, and X. Chen are with the Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing Systems, Guangdong University of Technology, Guangzhou 510006, China (e-mail:, [email protected]; henryguochina@163. com; [email protected]; [email protected]; ali. [email protected]; [email protected]).
Publisher Copyright:
© 2005-2012 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Customer service is transforming from traditional manual service toward automated service, which utilizes different computational informatics to achieve a higher efficient and quality services. Automated customer service requires big data and expertise in data analysis as prerequisites. However, many companies, especially small and medium enterprises, do not have sufficient data and experience due to their limited scale and resources. They need to rely on third parties, and this reliance results in the lack of development of core customer service competency. In order to overcome these challenges, an open and automated customer service platform based on Internet of things (IoT), blockchain, and automated machine learning (AutoML) is proposed. The data are gathered with the use of IoT devices during the customer service. An open but secured environment to achieve data trading is ensured by using blockchain. AutoML is adopted to automate the data analysis processes for reducing the reliance of costly experts. The proposed platform is analyzed through use case evaluation. A prototype system has also been developed and evaluated. The simulation results show that our platform is scalable and efficient.
AB - Customer service is transforming from traditional manual service toward automated service, which utilizes different computational informatics to achieve a higher efficient and quality services. Automated customer service requires big data and expertise in data analysis as prerequisites. However, many companies, especially small and medium enterprises, do not have sufficient data and experience due to their limited scale and resources. They need to rely on third parties, and this reliance results in the lack of development of core customer service competency. In order to overcome these challenges, an open and automated customer service platform based on Internet of things (IoT), blockchain, and automated machine learning (AutoML) is proposed. The data are gathered with the use of IoT devices during the customer service. An open but secured environment to achieve data trading is ensured by using blockchain. AutoML is adopted to automate the data analysis processes for reducing the reliance of costly experts. The proposed platform is analyzed through use case evaluation. A prototype system has also been developed and evaluated. The simulation results show that our platform is scalable and efficient.
KW - Automated customer service
KW - automated machine learning (AutoML)
KW - blockchain
KW - open customer service
UR - http://www.scopus.com/inward/record.url?scp=85066168631&partnerID=8YFLogxK
U2 - 10.1109/TII.2019.2900987
DO - 10.1109/TII.2019.2900987
M3 - Journal article
AN - SCOPUS:85066168631
SN - 1551-3203
VL - 15
SP - 3642
EP - 3651
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 6
M1 - 8649758
ER -