Real-Time Data Streaming and AI Enhancements: E-Commerce Live Streaming Shopping
Arjun Mantri ()
International Journal of Computing and Engineering, 2024, vol. 5, issue 5, 22 - 32
Abstract:
This paper explores the transformative potential of real-time data streaming and artificial intelligence (AI) in the context of e-commerce live streaming shopping. By leveraging advance technologies such as Storm, Trident, Samza, and Spark Streaming, businesses can process and analyze data in real-time, enhancing consumer engagement and driving sales in real time. This paper reviews the literature on live streaming selling, product promotion, and multichannel sales, and discusses the challenges and opportunities associated with these technologies. The findings provide valuable insights for businesses and researchers aiming to harness the power of real-time data streaming in the dynamic landscape of social commerce using real time streaming
Keywords: Real-Time Data Streaming; Artificial Intelligence; E-Commerce; Live Streaming Shopping; Consumer Engagement. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://carijournals.org/journals/index.php/IJCE/article/view/2004/2378 (application/pdf)
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:bhx:ojijce:v:5:y:2024:i:5:p:22-32:id:2004
Access Statistics for this article
More articles in International Journal of Computing and Engineering from CARI Journals Limited
Bibliographic data for series maintained by Chief Editor ().