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EnglishOn December 23, the DingTalk AI 1.1 New Product Launch & Ecosystem Conference—titled "AI-Driven, Growth Is King"—held a special session dedicated to the mass consumption industry in Hangzhou. This session focused on how AI technology can deeply empower diverse mass consumption scenarios, including apparel, catering, retail, home furnishings, and logistics. Industry leaders and technical experts gathered to discuss how businesses can leverage AI for predictable growth amid macroeconomic pressures and accelerating shifts in consumer structure.
As a technical foundation, the Tongyi large model has built a full-modal model matrix covering language, vision, audio, video, and reasoning, with its open-source model capabilities ranking among the global leaders. Zeng Cheng, Director of Business Development, noted that the core Qwen-Max model boasts strong instruction-following and tool-calling abilities. It has already been applied in scenarios such as Xianyu's "AI Sales Assistant," boosting the sales rate of secondhand goods by 15%. The newly launched video-generation model can create marketing materials based on a reference video, ensuring complete consistency in ID and voice, thereby addressing a key pain point in product marketing: content authenticity. In the future, large models will continue to evolve in three major directions: full-modal integration, ultra-long context understanding, and task planning capabilities powered by reinforcement learning.
Hema
Yun Che, a senior technical expert at Hema, shared use cases for improving cross-organizational collaboration efficiency.
Hema's business involves communication with thousands of suppliers. Previously, this was handled through an inefficient "dual-point contact" model, where Hema and external organizations each designated a single point of contact for back-and-forth communication. While this ensured orderly and accurate information flow, it was highly inefficient. By leveraging DingTalk's "upstream and downstream" organizational capabilities, Hema integrated its organization with supplier organizations and automatically created groups for each supplier, enabling real-time awareness of personnel changes and seamless transfer of historical information. More importantly, Hema established a collaboration hub centered on DingTalk groups and AI: suppliers can directly ask questions to "digital employees" in each business department, and the system automatically chooses between "instant human intervention" or "ticket transfer" based on the urgency of the issue. This frees up procurement from the tedious role of a "communication intermediary," allowing it to focus on higher-value tasks such as sourcing and consumer insights.
The entire Lipu Group is deeply engaged with DingTalk (internally referred to as "Dudu"), enabling AI to naturally grow within business scenarios.
According to Yang Ting, Deputy General Manager of Lipu Group's Digital Intelligence Center, Lipu integrates all stakeholders—including distributors, shopping guides, and carriers—into a collaborative network, enabling efficient cross-organizational business flows while applying AI to core business scenarios. For example, in the new-product development process—from product and technology project initiation to formula development, pilot production, and product launch—the entire workflow is streamlined using SOP processes combined with DingTalk Teambition and AI tables, creating a composite solution that accelerates collaboration in new-product development. In meeting management, the company has fully adopted online documents and AI-based transcription, paired with a self-built AI-table-based follow-up system, ensuring that meetings "lead to discussion, discussion leads to decisions, and decisions lead to action." Yang Ting emphasized that the implementation of AI must be closely aligned with actual business scenarios. She noted that human oversight remains indispensable behind intelligent systems, and Lipu is continuously exploring how to make AI better understand the company, its culture, and its operations.
Lu Chunhong, Director of Management Digitalization Transformation at Gome Home Furnishings, showcased the fine-grained application of AI in retail stores.
Gome Home Furnishings equips store shopping guides with DingTalk digital employee badges. Using AI, the system intelligently records, generates, and analyzes service-interaction data, accurately identifying blind spots in service scripts and sales processes and generating optimization strategies and personalized improvement plans. This not only provides shopping guides with a "dedicated analyst" to help them quickly enhance service performance, but also enables store managers to drive more refined operations and intelligent management by relying on objective data analysis and decision-making models.
Shen Xin, CIO of Ban Tian Yao, shared his approach to AI implementation from the perspective of a corporate decision-maker, emphasizing the principles of "staying on track, avoiding detours, and minimizing pitfalls."
He stressed that AI applications fall into two categories: "AI addition" (adding AI functionality to existing systems) and "AI enhancement" (reimagining processes with an AI-native mindset). The latter offers greater value but also presents greater challenges. The core prerequisite is effective knowledge management within the enterprise: "Without proprietary enterprise knowledge, AI cannot be effectively utilized." He recommended that companies establish a role similar to a "Chief Knowledge Officer" and prioritize cross-departmental collaboration scenarios, allowing business teams to directly experience how AI addresses "real pain points," thereby reducing resistance to adoption.
Song Bo, head of DingTalk's mass consumption industry solutions, unveiled DingTalk's AI solutions tailored for the consumer sector, designed to address core challenges such as complex business scenarios, fragmented systems, slow onboarding for new employees, and difficulties in translating insights into actionable steps. The core concept is to ensure that employees "see only what they need to know at any given moment," with the system proactively guiding them on "what to do, why to do it, and how to do it." This deeply integrates AI into business workflows, unlocking dormant process and data value.
At the conference, DingTalk signed memorandums of understanding with three industry leaders—Jiumaojiu Group, Dreamhome Furniture Technology, and ZTO Express—to jointly develop deep AI innovations in areas such as restaurant operations, end-to-end home furnishing solutions, and logistics efficiency improvements.
In addition, DingTalk awarded the 2025 DingTalk "AI Trailblazer" award to 13 companies that have demonstrated outstanding innovation in AI: Belle Fashion, Best Inc., Ban Tian Yao, Gome Home Furnishings, Boss Electric Appliances, Jiumaojiu Group, Laoxiangji, Fangtai, Muyuan Foods, Dreamhome Furniture Technology, Fosun High-Tech (Group), Longyou Airlines, and ZTO Express, setting industry benchmarks.
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