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Next Generation of Live Streaming E-Commerce: Intelligence and Challenges

Research output: Chapter in Book/Conference proceedingEntry for encyclopedia/dictionarypeer-review

Abstract

Live streaming e-commerce stands as one of the most revolutionary advancements in digital marketing and retail. The incorporation of artificial intelligence (AI) technologies into live streaming e-commerce platforms has profoundly altered how brands interact with consumers in real-time, enhanced personalization, and boosted conversion rates. This chapter delves into the convergence of AI and live streaming e-commerce, offering critical insights into how AI is shaping consumer experiences within live streaming e-commerce context. This chapter specifically discusses how AI is reshaping live streaming e-commerce through three key innovations. First, virtual streamers, which are AI-generated avatars, play a significant role. Second, AI streaming assistants, chat-based agents, are employed to address viewer queries in the comment section. Third, emotion and engagement analytics leverage AI-driven sentiment and clickstream analysis of viewer engagement to optimize content delivery. While AI serves to optimize personalization and operational efficiency, it also gives rise to concerns about trust reduction and privacy risks. The extensive collection of data from consumers poses privacy risks. Algorithmic targeting may exacerbate biases, and the opaque nature of AI algorithms makes accountability difficult to establish. The trust deficit caused by AI’s uncanny valley effect and service failures further hinders consumers’ acceptance of AI in live streaming e-commerce context.

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Original languageEnglish
Title of host publication Encyclopedia of Artificial Intelligence in Marketing
EditorsRiadh Ladhari
PublisherSpringer, Cham
ISBN (Electronic)9783031753169
ISBN (Print)9783031753169
Publication statusPublished - 19 May 2026

Free Keywords

  • Live streaming e-commerce
  • Live streaming
  • E-commerce
  • Virtual streamer
  • AI streaming assistant
  • AI avatar
  • Personalization
  • Emotion analysis
  • Engagement analysis
  • Privacy
  • Trust

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