飞书多维表格+AI 赋能，重塑双11全链路效率

Core Insights - The article discusses how Feishu's multi-dimensional spreadsheet, combined with AI capabilities, is reshaping productivity in the e-commerce sector, particularly in preparation for the Double 11 shopping festival [1][2]. Group 1: Feishu's Role in E-commerce - Feishu has conducted nearly 100 training sessions focused on e-commerce this year, reaching over 500,000 practitioners, thereby leading the industry into the AI era [1][5]. - The integration of "AI + Feishu Multi-dimensional Spreadsheet" is positioned as a core tool to enhance operational efficiency amidst challenges like multi-platform operations and data fragmentation [2][4]. Group 2: Case Studies and Applications - In the apparel sector, brands like Jiao Nai have utilized Feishu's multi-dimensional spreadsheet to collect user feedback for product iteration, create a centralized dashboard for cross-channel collaboration, and leverage AIGC technology to significantly reduce design time for marketing materials [2]. - The food industry example includes brands like Three Squirrels, which streamlined their product development and sales processes using Feishu's tools, and Babycare, which improved customer complaint response times [2]. Group 3: Evolution of Feishu Multi-dimensional Spreadsheet - The Feishu multi-dimensional spreadsheet has evolved from a "high-level spreadsheet" to a "business toolbox," featuring capabilities such as data integration, AI workflow construction, and standardized business processes [3]. - By 2025, the spreadsheet is expected to transform into a genuine business system, catering to the needs of e-commerce practitioners for self-built systems [3]. Group 4: Industry Trends and Future Outlook - The e-commerce sector is experiencing a shift towards AI-driven operations, with a focus on standardization before scaling, as companies increasingly integrate AI into their workflows [4]. - Feishu has introduced an AI application maturity standard to help businesses assess the effectiveness of their AI tools, aiming to enhance understanding and practical application of AI products [5].