Towards mass customization: automatic processing of orders for residential shipping containers-a case study example

被引:0
作者
Dudek, Adam [1 ]
Patalas-Maliszewska, Justyna [2 ]
Fraczak, Jacek [3 ]
机构
[1] Univ Appl Sci Nysa, Armii Krajowej 7, PL-48300 Nysa, Poland
[2] Univ Zielona Gora, Ul Licealna 9, PL-65417 Zielona Gora, Poland
[3] Sanpol Sp zoo, Sulechowska 27a, PL-65119 Zielona Gora, Poland
关键词
residential shipping containers; natural language processing; automatic processing of orders; mass customization; CHATBOT; DESIGN;
D O I
10.24425/bpasts.2023.145562
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Along with changes in customer expectations, the process of ordering a house, especially one built with the most modern technology from prefabricated HQ 40-foot shipping containers, should take place in an atmosphere of free-flowing, customer-friendly conversation. Therefore, it is important that the company producing such a solution has a tool supporting such offers and orders when producing personalized solutions. This article provides an original approach to the automatic processing of orders based on an example of orders for residential shipping containers, natural language processing and so-called premises developed. Our solution overcomes the usage of records of the conversations between the customer and the retailer, in order to precisely predict the variant required for the house ordered, also when providing optimal house recommendations and when supporting manufacturers throughout product design and production. The newly proposed approach examines such recorded conversations in the sale of residential shipping containers and the rationale developed, and then offers the automatic placement of an order. Moreover, the practical significance of the solution, thus proposed, was emphasized thanks to verification by a real residential ship container manufacturing company in Poland.
引用
收藏
页数:11
相关论文
共 37 条
[1]  
Aceto G., 2021, CONVERSATIONS 2021
[2]   Transforming the communication between citizens and government through AI-guided chatbots [J].
Androutsopoulou, Aggeliki ;
Karacapilidis, Nikos ;
Loukis, Euripidis ;
Charalabidis, Yannis .
GOVERNMENT INFORMATION QUARTERLY, 2019, 36 (02) :358-367
[3]  
[Anonymous], About us
[4]   Material and Cost estimation of a Customized Product based on the Customer's description [J].
Baboolal, Kevin ;
Hosein, Patrick .
2021 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT DATA SCIENCE TECHNOLOGIES AND APPLICATIONS (IDSTA), 2021, :31-37
[5]   Task-Dependent Algorithm Aversion [J].
Castelo, Noah ;
Bos, Maarten W. ;
Lehmann, Donald R. .
JOURNAL OF MARKETING RESEARCH, 2019, 56 (05) :809-825
[6]  
Chaidrata Alvin, 2021, 2021 5th International Conference on Communication and Information Systems (ICCIS), P129, DOI 10.1109/ICCIS53528.2021.9646029
[7]  
ChatBot, US
[8]   SuperAgent: A Customer Service Chatbot for E-commerce Websites [J].
Cui, Lei ;
Huang, Shaohan ;
Wei, Furu ;
Tan, Chuanqi ;
Duan, Chaoqun ;
Zhou, Ming .
PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017): SYSTEM DEMONSTRATIONS, 2017, :97-102
[9]   Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors' intentions to use social robots [J].
de Kervenoael, Ronan ;
Hasan, Rajibul ;
Schwob, Alexandre ;
Goh, Edwin .
TOURISM MANAGEMENT, 2020, 78
[10]   How can manufacturers make decisions on product appearance design? A research on optimal design based on customers' emotional satisfaction [J].
Dou, Runliang ;
Li, Wei ;
Nan, Guofang ;
Wang, Xiaoqiu ;
Zhou, Yanjie .
JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING, 2021, 6 (02) :177-196