昨天白天，飞书多维表格的应用模式，终于正式上线了。 其实半个月前，就受到了飞书的邀请，给我们开了应用模式的内测资格，我开始搭建我们公司的应用系统，以提高我们公司所有团队的工作体验和工作 效率。 多维表格我就不再重复说他有多牛逼了，我在各种场合也吹过无数次，写过很多篇稿子来安利了（真的都不是商单，就是纯粹的发自内心的喜欢，想安 利给大家）。 而这一次的应用模式，上瘾程度，比我曾经预期的更甚。 就在前几天，我还搭到早上六点，真不是吹牛逼，我自己搭应用模式的上瘾程度，真的不亚于我十年前玩《文明6》，5年前玩《戴森球计划》。。。 然后，NanoBanana 2凌晨也上线了，我。。。 肝死我了= = 只能双更了。 凌晨发完了NanoBanana 2的内容，而这一篇，也终于可以来和你们好好聊聊飞书多维表格的这次更新了。 也就是，传说中的，应用模式。 甚至，为了更好的支持应用模式，我把我们的多维表格，从结构和底层，全部做了一波重构，也顺便梳理了一整波的项目推进流程。 而现在，终于到了一个可以解禁的时间点，也给大家看一看，基于多维表格的应用模式所构建出来的应用效果，以及，一些应用模式的牛逼的地方和玩 法。 今天，两更！ 话不 ...

Core Viewpoint - The e-commerce industry is increasingly complex, with numerous platforms and players, making it challenging for merchants to sell products effectively [3][4][18] Group 1: Industry Challenges - The number of players in the e-commerce space has significantly increased compared to five years ago, leading to heightened competition and consumer fatigue [3][4] - Merchants are overwhelmed by the need to manage multiple platforms and products, requiring extensive testing and optimization of various elements like images and keywords [4][5] - The traditional reliance on Excel for data management is inefficient, as operators struggle to make informed decisions based on fragmented data from different platforms [5][6] Group 2: AI Integration - The introduction of AI tools, such as those developed by Feishu, aims to automate data collection and analysis, freeing operators from tedious tasks [6][7] - AI can now provide personalized data insights, allowing for quicker decision-making and improved operational efficiency [6][7] - The AI system, Aily, has evolved to offer actionable insights, enabling operators to manage multiple stores more effectively [7][8] Group 3: Content Creation and Optimization - The preparation of marketing content, such as live stream scripts, has become more data-driven, with AI assisting in generating relevant and engaging content [10][12] - AI tools can significantly reduce the time required for content creation, allowing teams to focus on more strategic and creative tasks [12][18] - The use of AI in content generation helps maintain quality while increasing output, thus enhancing overall marketing effectiveness [11][12] Group 4: Customer Service Enhancement - AI is being utilized to improve customer service by analyzing interactions and extracting valuable consumer insights, rather than merely replacing human agents [13][14] - The implementation of AI in customer service allows for better understanding of consumer needs and preferences, leading to improved product offerings [16][17] - Companies are shifting their focus from basic customer support to proactive engagement with consumers, leveraging AI to enhance the overall customer experience [17][18]

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].

Core Insights - The integration of AI into e-commerce is transforming the shopping experience, with platforms like Taobao, Doubao, and Feishu adopting different strategies to enhance user engagement and operational efficiency [2][3][18] Group 1: AI Integration in E-commerce - AI is being utilized to reshape the shopping experience, making it more intuitive for consumers and efficient for merchants [3][6] - Taobao has implemented AI in its search and recommendation systems, significantly improving the relevance of search results and user experience [8][12] - The introduction of AI-driven features like "AI Try-On" and "Universal Search" aims to address specific consumer needs, such as reducing return rates and simplifying complex search queries [9][11] Group 2: Different Approaches by Key Players - Taobao focuses on enhancing its existing search and purchase processes by embedding AI into its user interface, maintaining a familiar shopping flow while improving efficiency [18][19] - Doubao leverages conversational AI to facilitate a more interactive shopping experience, allowing users to engage in dialogue before making purchases [19][20] - Feishu targets B2B e-commerce by streamlining data management and operational efficiency through its multi-dimensional table features, enhancing the backend processes for merchants [14][21] Group 3: Market Trends and Future Directions - The competition among these platforms is expected to intensify as they seek to integrate their services, potentially leading to a unified AI-driven ecosystem for merchants [20][21] - The trend towards AI in e-commerce is likely to create new opportunities for brands to manage customer relationships and sales processes more effectively [21] - The convergence of different AI applications in e-commerce may redefine the boundaries between search, conversation, and data management, leading to a more cohesive shopping experience [20][21]

Core Viewpoint - The article discusses the integration of Feishu's multi-dimensional table with iOS Shortcuts, showcasing three practical applications that enhance productivity and streamline tasks. Group 1: Introduction to Shortcuts - iOS Shortcuts is an automation tool that simplifies operations and automates tasks on iOS devices [5][10] - Users can create custom shortcuts by combining various actions, similar to building a workflow [11][10] Group 2: Application Cases Case 1: Topic Recording - The first application involves automatically saving and analyzing articles using Shortcuts and Feishu's multi-dimensional table [15][19] - Users can store article links and related notes directly into the table by triggering a shortcut with a double-tap on the back of the phone [18][19] - The process includes setting up fields in the table, triggering a webhook, and creating a shortcut to send data to Feishu [20][22][30] Case 2: Automated Expense Tracking - The second application is a visual automated expense tracking tool that records amounts and categories directly into Feishu's multi-dimensional table [32][34] - The setup process is similar to the first case, but with additional fields for tracking expenses [36][38] - Users can categorize expenses and visualize data through dashboards in Feishu [34][40] Case 3: Schedule Synchronization - The third application integrates Shortcuts with Feishu's multi-dimensional table and calendar for efficient schedule management [45][48] - Users can input schedule details via voice or screen capture, which are then processed and synced to Feishu Calendar [47][51] - The process involves creating multiple shortcuts to facilitate data entry and synchronization [51][54] Group 3: Conclusion - The article emphasizes the ease of use and versatility of combining Shortcuts with Feishu's multi-dimensional table, highlighting three distinct applications [58][60] - It suggests that these foundational integrations can lead to more advanced and specialized uses in the future [63][66]

Core Insights - DingTalk AI Spreadsheet has become the first in the industry to support a single sheet capacity of 10 million rows, currently applied in several retail and e-commerce brands like De Xiang Yuan Roast Duck [1] - Feishu's multi-dimensional spreadsheet announced over 10 million monthly active users and plans to support 10 million rows by the end of the year, indicating a competitive landscape in AI spreadsheet solutions [1][3] - The competition between DingTalk and Feishu reflects a broader trend in the industry as both companies aim to enhance their offerings for e-commerce clients, especially in preparation for major sales events like Double 11 [3] DingTalk AI Spreadsheet - DingTalk AI Spreadsheet's application has accelerated due to the real demand from e-commerce brands preparing for Double 11, with notable clients including Semir and Yintai Department Store [2] - The product allows for unified data management and real-time analysis, significantly reducing calculation time from minutes to seconds for sales data across multiple stores [4] - The collaboration between Alibaba Cloud's ADB-PG database team and DingTalk has led to the development of a new storage-computing integrated application architecture, enhancing performance for high-volume data processing [5] Competitive Landscape - Both DingTalk and Feishu are targeting the e-commerce sector, with DingTalk leveraging its Alibaba ecosystem for features like order synchronization and logistics updates [3] - Feishu is countering by utilizing RPA tools to aggregate data across platforms, allowing e-commerce professionals to access customized dashboards for real-time data analysis [3] - The introduction of the 10 million row capability by both platforms demonstrates their commitment to meeting complex business needs, although most enterprises typically operate within the million-row range [3]

Core Viewpoint - The article discusses the evolving landscape of e-commerce during the Double 11 shopping festival, highlighting the challenges faced by industry players and the potential role of Feishu in transforming operational efficiency through digital tools and AI integration [5][9][20]. Group 1: E-commerce Challenges - The e-commerce industry is experiencing a "midlife crisis," characterized by a decline in excitement and increased operational complexity, with the number of products in live streams ballooning to over 400, nearly double that of previous events [5][7]. - Despite the abundance of data, e-commerce companies struggle with high management costs and low decision-making efficiency, leading to a disconnect between data production and utilization [7][9]. - The rise of live commerce has compressed decision-making cycles, necessitating rapid adjustments to marketing strategies, which are hindered by fragmented data across multiple platforms [8][9]. Group 2: Feishu's Role - Feishu has entered the Double 11 preparations, positioning itself as a solution to the operational inefficiencies plaguing the e-commerce sector by offering integrated data management tools [5][11]. - The platform enables businesses to consolidate data from various sources, allowing for real-time analysis and decision-making, thus enhancing operational agility [9][11][20]. - Feishu's multi-dimensional spreadsheets serve as a "dashboard" for e-commerce teams, streamlining processes and reducing the need for manual data handling [9][11][22]. Group 3: AI Integration - The integration of AI tools within Feishu's platform allows for automation of repetitive tasks, significantly improving efficiency and freeing up human resources for more value-adding activities [15][20]. - Companies like Ato Star and Oupai Home have successfully implemented Feishu's solutions, resulting in substantial reductions in operational delays and improved management of live streaming events [22][23]. - The shift towards AI-driven processes is seen as a necessary evolution for the e-commerce industry, enabling teams to focus on creative and strategic tasks rather than mundane operational duties [20][29]. Group 4: Future of E-commerce - The article suggests that the future of e-commerce lies in embracing digital tools that enhance agility and responsiveness, moving away from traditional centralized systems [27][28]. - Feishu's approach exemplifies a "decentralized" model that empowers frontline employees to make decisions quickly, fostering a more dynamic organizational structure [27][29]. - The ongoing transformation in the e-commerce sector highlights the importance of continuous optimization and the need for businesses to adapt to rapidly changing market conditions [28][29].

Core Viewpoint - The article discusses the transformation of the Chinese e-commerce industry, emphasizing the shift from a focus on traffic to efficiency, driven by the advent of AI technologies and tools like Feishu's multi-dimensional spreadsheets [3][4][5]. Group 1: Current State of E-commerce - The e-commerce landscape has evolved from a few platforms like Taobao and JD to a diverse matrix including Douyin, Xiaohongshu, and Pinduoduo, with operational metrics expanding to over 50 dimensions [3]. - E-commerce operators are now required to manage multiple platforms simultaneously, leading to fragmented data that is difficult to integrate and analyze [8][9]. - The industry faces challenges in data isolation, slow response to market signals, and intense competition, making speed and adaptability crucial for survival [8][9]. Group 2: Role of AI and Tools - The arrival of AI is seen as a pivotal force in driving efficiency in e-commerce operations, with major players like Tmall and JD investing heavily in AI capabilities [4][5]. - Feishu's multi-dimensional spreadsheets have gained traction among leading e-commerce companies, facilitating data integration and operational efficiency [5][14]. - E-commerce businesses are increasingly seeking systems that connect people and data, with a notable shift towards AI-enhanced tools to streamline operations and reduce manual labor [11][13]. Group 3: Challenges and Solutions - Traditional tools like Excel and isolated ERP systems are inadequate for the complexities of modern e-commerce, leading to inefficiencies and increased operational risks [9][10]. - E-commerce companies are experiencing a pressing need for systems that can handle data integration and automate processes to keep pace with rapid market changes [11][18]. - Feishu's multi-dimensional spreadsheets are not just replacing existing tools but are fundamentally restructuring the value chain of e-commerce, enhancing product management, marketing, customer relations, and logistics [22][28][31]. Group 4: Future Outlook - The e-commerce sector is entering a "tool dividend" era, where companies leveraging AI and automation tools will significantly outperform traditional competitors, with productivity rates 3 to 5 times higher [33]. - Feishu's strategic involvement in major events like Double 11 is aimed at validating its product capabilities and establishing itself as a key player in the digital transformation of e-commerce [34]. - The competition in e-commerce is shifting from a focus on human-driven data search to a model where data actively drives business decisions, highlighting the importance of adopting advanced tools [34][35].

Core Viewpoint - The article emphasizes the importance of leveraging AI as a productivity tool for ordinary individuals to create income-generating opportunities, likening the current AI trend to the internet boom of 1997, which presents a new wave of economic benefits for the average person [2][10]. Group 1: AI as a Tool for Ordinary People - Ordinary individuals often struggle to earn from side jobs due to a lack of unique skills or resources, making it crucial to recognize the potential of AI as a significant advantage [2]. - AI is described as a "productivity tool" rather than a consumer product, enabling users to create tangible results and act as a leverage for skills and intelligence [2][9]. - The article suggests that the key to making money with AI lies in identifying the intersection of "AI + business opportunities" rather than merely using AI tools [9][10]. Group 2: Practical Applications of AI - Examples are provided of individuals successfully utilizing AI to streamline their work processes, such as automating data collection and content creation for a content creator [3]. - Another example illustrates how an individual built a workflow using AI and shared their experience, leading to paid requests from others who found the process complicated, charging 200 yuan per person [6][7]. - The article stresses that simply knowing how to use AI is insufficient for generating income; it is essential to combine AI with real-world scenarios to solve actual problems [8][9]. Group 3: Mindset Shift - The narrative encourages a shift in mindset, suggesting that one does not need to become an AI expert but rather a "normal person using AI to make money" [11]. - The focus is on engaging in projects with predictable income potential through AI, which is presented as the most practical approach for ordinary individuals to monetize their efforts [10].

Core Viewpoint - Feishu announces its participation in the Double 11 preparations, leveraging AI and multi-dimensional spreadsheets to enhance e-commerce efficiency [1] Group 1: Company Initiatives - Feishu has recently announced a series of e-commerce efficiency practices in collaboration with various companies such as Yifeili, Hefeng Yiyang, Jiao Nai, Nutrition Factory, and Dedao [1] - Since 2025, Feishu has been working with e-commerce industry enterprises to implement AI practices, showcasing multi-dimensional spreadsheets as a specific pathway for integrating AI with business operations [1]