T/GZEIIA 1001-2024 The evaluation index system for AI-based e-commerce talents

Scope

Main technical content: This standard provides a framework for e-commerce talent cultivation in the context of AI, which can be used for external evaluation. Specifically, it evaluates the curriculum system and training programs for e-commerce talents from the perspective of third-party organizations, assessing their AI application and R&D behaviors in e-commerce, and providing a basis for performance evaluation of e-commerce talents in improving efficiency through AI. It can also be used for self-evaluation by e-commerce talent teams and project members. However, the AI-based evaluation index system for e-commerce talents is proposed based on current AI technologies, and AI is developing rapidly, with new changes constantly emerging in the e-commerce field. This standard does not cover all the competencies that an outstanding e-commerce talent should possess in applying AI. Currently, e-commerce can be mainly categorized into the following types: (1) Shelf e-commerce: such as Taobao, Tmall, JD.com, and Pinduoduo. (2) Content e-commerce: such as Douyin, Kuaishou, and Xiaohongshu. (3) Instant e-commerce: such as Meituan, Ele.me, and JD Delivery. AI can assist e-commerce in achieving full-range operation from the perspectives of content creation, AI operation, AI marketing, intelligent search, intelligent recommendation, and AI customer service, thereby breaking through traditional traffic boundaries and better promoting the efficient and accurate positioning and integration of people + content + scenarios + goods, innovating models, and improving efficiency. This standard analyzes how AI can assist shelf e-commerce, content e-commerce, instant e-commerce, and other models and improve efficiency, as well as the skills and methods that e-commerce talents need to possess.

Development Information

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