Technology roadmap of AI applications in the retail industry

Hsi-Peng Lu, Hsiang-Ling Cheng, Jen-Chuen Tzou and Chiao-Shan Chen

Technological Forecasting and Social Change, 2023, vol. 195, issue C

Abstract: 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.

Keywords: Artificial intelligence (AI); Technology roadmap; Retail; Technology development trend (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162523004638
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:195:y:2023:i:c:s0040162523004638

DOI: 10.1016/j.techfore.2023.122778

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().