Innovation and Strategic Path of AI Live-streaming Sales in the Digital Economy Era

Zexi Liu; Chakwang Lau; Chakleung Lau

doi:10.54097/cvsqfs61

Authors

Zexi Liu
Chakwang Lau
Chakleung Lau

DOI:

https://doi.org/10.54097/cvsqfs61

Keywords:

Digital E-commerce, AI-powered Product Promotion, Technology Empowerment

Abstract

Against the backdrop of the vigorous development of the digital economy, traditional e-commerce live streaming is confronted with predicaments such as high costs, lack of innovation, and loss of trust. Enterprises urgently need technology-driven transformation. This article delves deeply into the AI live-streaming e-commerce model in the era of digital economy. AI live-streaming sales rely on multimodal interaction and deep learning to achieve "7× 24-hour" precise live-streaming by virtual hosts. It generates personalized interactive content based on semantic understanding to activate the depth of user participation. Meanwhile, blockchain technology builds a transparent trust mechanism to ensure the authenticity and reliability of transactions. This model not only meets the diversified and personalized demands of consumers, reduces the operating costs of enterprises and enhances efficiency, but also promotes the innovative development of the industry and reshapes the relationship among "people, goods and places". This article also proposes practical strategies such as improving technical facilities, establishing a talent training system, and standardizing management processes to help the e-commerce industry effectively utilize virtual anchors and achieve digital transformation, providing a reference for the global e-commerce technology-driven transformation.

Downloads

Download data is not yet available.

References

[1] Sang S, Li W. P‐3. 10: Research on Key Technologies of Virtual Digital Human[J].SID Symposium Digest of Technical Papers,2025,56(S1):901-904. DOI:10.1002/SDTP.18960.

[2] Silva G A, Miguez V R, Almeida D G G L, et al. Design Guidelines for Combining Digital Human Modeling and Virtual Reality to Foresee Workplaces Ergonomics Issues During Product Development[J]. Applied Sciences,2025,15(13):7083-7083. DOI:10.3390/APP15137083.

[3] Zhu Y, Xuan Y. A comprehensive model for energy management of adaptive cycle engine with integrating thermal inertia and variable mass effects[J]. Aerospace Science and Technology, 2026, 168 (PE): 111109-111109. DOI:10.1016/J. AST.2025.111109.

[4] Irene V, Shishir S, Jie L, et al. On the impact of VR assessment on the quality of experience of highly realistic digital humans[J]. Quality and User Experience,2022,7(1): DOI:10.1007/S41233-022-00050-3.

[5] Maggi B S, David B. Digital Immortality and Virtual Humans[J]. Postdigital Science and Education, 2019, 1 (1): 87-103. DOI:10.1007/s42438-018-0007-6.

[6] Xin Y, Lou Z, Guo J, et al. Spray dust suppression technology from a bibliometric perspective: Research status and trend prediction based on deep learning[J]. Particuology, 2025,10792-112. DOI:10. 1016/J. PARTIC. 2025.09.018.

[7] S. B, Kadry S .AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans [M]. IGI Global:2025-03-28: DOI:10.4018/979-8-3373-0538-7.

[8] Khan M, HU P, NIU J, et al. Advancing electrochemical technology for tritium separation: an application for fission and fusion energy[J]. Annals of Nuclear Energy,2026,226111857-111857. DOI:10. 1016/ J. ANUCENE.2025.111857.

[9] Massarutto A, Troiano S. Maintaining water service quality in the face of climate change: Can stated-preference analysis support priority setting? [J]. Utilities Policy,2025, 93101895-101895.DOI: 10.1016/ J. JUP.2025.101895.

[10] Fortes E. Rethinking integration: applying the capabilities approach to immigrant incorporation[J]. Comparative Migration Studies,2025,13(1):77-77. DOI:10.1186/S40878-025-00495-3.