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Implementation Challenges and Strategies for AI Operation of Small and Medium-sized E-commerce Enterprises in the Context of Digital Intelligence

Tianwen Tang

Abstract


Under the wave of digital-intelligent transformation, AI operation is the key approach for the innovative development of small
and medium-sized e-commerce enterprises. This paper focuses on the implementation of AI operation in small and medium-sized e-commerce enterprises as research object, analyzes the challenges such as weak data foundations, poor technology adaptation, and insufficient
organizational talents, offers optimization strategies from three aspects: data management, technology application, and organizational
structure establishment, aiming to provide theoretical reference and practical guidance for small and medium-sized e-commerce enterprises
to implement low-cost and high-efficiency AI operation, and catalyze them to achieve sustainable development in the digital-intelligent
environment.

Keywords


Digital Intelligence; Small and Medium-sized E-commerce Enterprises; AI Operation; Implementation Challenges; Optimization Strategies

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References


[1] Yirui Zhang, Haijing Ye. (2026) Innovative Pathways for Generative AI Empowering the Live Streaming E-commerce Economy [J].

Market Modernization, 8, 43-45.

[2] Shan He. (2026) Application of Big Data and AI in the Teaching of Middle Vocational E-commerce Operation [J]. China Electronic

Market, 32(3), 40-42.

[3] Wei Dou. (2026) Interdisciplinary Education Practice of the "Lüyangchun Tea E-commerce Operation" Project Enabled by AI [J].

Knowledge Library, 42(1), 21-24.




DOI: http://dx.doi.org/10.70711/aitr.v4i2.9834

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