Core Viewpoint - The article discusses the transformation of the e-commerce industry in China, emphasizing the need for advanced AI tools to overcome traditional operational inefficiencies and data silos, particularly during high-stakes events like "Double Eleven" [1][2][3]. Group 1: E-commerce Challenges - The e-commerce sector in China generates vast amounts of real-time data but relies on outdated tools like Excel, leading to operational inefficiencies and data silos [3][4]. - The reliance on manual processes creates delays in decision-making, especially when responding to customer feedback or inventory changes [2][6]. - The complexity of e-commerce operations, involving multiple departments and real-time data, exacerbates the challenges of coordination and efficiency [5][6]. Group 2: Adoption of AI Tools - Leading companies like Semir and Yintai have adopted new AI-driven tools, such as DingTalk's AI spreadsheets, to enhance operational efficiency and real-time data management [2][10]. - DingTalk's AI spreadsheet can handle up to 10 million active rows, allowing e-commerce professionals to manage data without manual segmentation, thus improving response times during peak sales [2][10]. - The introduction of AI tools has transformed traditional roles, enabling employees to focus on strategic decision-making rather than repetitive data tasks [17][19]. Group 3: Case Studies - A case study from Yintai illustrates how the use of DingTalk's AI spreadsheet streamlined the management of promotional activities across multiple brands and locations, significantly reducing preparation time [7][10]. - Semir's customer service team has benefited from AI integration, allowing for real-time feedback analysis and quicker response times, thus enhancing customer satisfaction [12][13]. - The AI tools have enabled companies to predict sales trends and adjust resource allocation dynamically, improving overall operational efficiency [15][19]. Group 4: Strategic Shift in the Industry - The article highlights a strategic shift in the e-commerce industry from a focus on "traffic dividends" to "efficiency dividends," as companies recognize the need for deeper technological investments [18][19]. - Alibaba's commitment to investing 380 billion in AI infrastructure over the next three years reflects a broader industry trend towards integrating AI capabilities into core business processes [18][19]. - The evolution of AI tools like DingTalk's AI spreadsheet represents a significant advancement in organizational efficiency, impacting various sectors beyond e-commerce [19][20].