With the popularization of AI technology, small and medium-sized enterprises can now leverage AI technology in e-commerce. However, there is a threshold for the use of technology, and the adoption of different levels of artificial intelligence technology also causes specific problems from the aspects of capital, technology, organizational structure, and enterprises. Due to the problems, this article aims to propose e-commerce process and mapping for AI utilization in SMEs. This article utilizes Google Scholar as the data source and selects 31 related literatures through classification to conduct literature research. Based on the classification of different levels of small and medium-sized enterprises, this article discusses the factors influencing enterprises' adoption of AI technology in business from the lens of technology, organization, and environment. Through a summary of existing research, artificial intelligence technology is categorized into three categories and five levels. The technologies at each level are then analyzed in detailed based on the descriptions, capabilities, and applications, with a focus on highlighting their technical and application characteristics. Finally, from an e-commerce perspective, this article attempts to map AI technology in e-commerce for small and medium-sized enterprises. This would initiate towards assisting enterprises at different levels to which they can utilize AI technology and effectively leverage it in e-commerce, and to address development challenges plus enhancing the competitiveness of their e-commerce operations.
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