零售业
合并(版本控制)
计算机科学
技术路线图
云计算
过程(计算)
数据科学
2019年冠状病毒病(COVID-19)
营销
业务
医学
疾病
病理
传染病(医学专业)
情报检索
操作系统
作者
Hsi‐Peng Lu,Hsiang-Ling Cheng,Jen-Chuen Tzou,Chiao-Shan Chen
标识
DOI:10.1016/j.techfore.2023.122778
摘要
New retail, an online-merge-offline system with artificial intelligence (AI) applications, became popular after the COVID-19 pandemic. This research introduces a novel technology roadmap methodology for new retail after studying 30 smart retail cases. Upon conducting panel discussions, this study identified 16 service applications, 10 technology applications, 4 application types, and 4 AI development stages. Based on the correlation analysis, it was found that new retail should: (1) aim towards the fourth stage of AI development, such as image generation technology; (2) develop a seamless shopping process; and (3) formulate cloud integration platforms integrating data on consumer shopping behavior. Overall, the findings obtained could be promising reference for future studies in the retail industry.
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