Research Article
A Study on the Information Management of O2O Service Through Artificial Intelligence
@INPROCEEDINGS{10.4108/eai.26-5-2023.2337261, author={Hyunjin Chun}, title={A Study on the Information Management of O2O Service Through Artificial Intelligence }, proceedings={Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={ICEKIM}, year={2023}, month={9}, keywords={o2o service; platform; artificial intelligence; omni-channel system}, doi={10.4108/eai.26-5-2023.2337261} }- Hyunjin Chun
Year: 2023
A Study on the Information Management of O2O Service Through Artificial Intelligence
ICEKIM
EAI
DOI: 10.4108/eai.26-5-2023.2337261
Abstract
Various technologies are developed in the era of the 4th Industrial Revolution. Among these technologies, artificial intelligence technology is a very important technology. In addition, as the IT industry developed, online commerce developed. Currently, many companies use O2O services that allow customers to use offline stores through online services. Artificial intelligence technology can be a key technology for O2O services. Therefore, in this paper, the use of artificial intelligence in the O2O service platform was studied. As for the research method, case studies were conducted based on literature research. Case studies were conducted focusing on companies that provide existing O2O services. And field studies were conducted based on case studies. Through these field studies, the use of artificial intelligence in the O2O service platform was analyzed. In the O2O service, artificial intelligence can recognize the logo or mark of a product through an algorithm. Customers can receive information and services on their products by scanning the logo of the products with their smartphones. In addition, artificial intelligence can analyze the image and logo of the customer's preferred product and recommend products that the customer may prefer. Such a function may increase satisfaction when a customer purchases a product.