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【高端访谈】土巴兔CEO王国彬开出家装行业“御寒良方”:强化用户价值,以AI与共生破局
Sou Hu Cai Jing· 2025-12-24 09:57
金融投资报记者 贺梦璐 站在岁末的节点,土巴兔以一场生态大会回望过去。 2025年的泛家装产业,经历了从年初到年末的一系列行业阵痛,当"寒冷刺骨"成为普遍体感,凛冬之 下,独行愈险,共聚则生。强化用户价值是唯一的"御寒良药",而平台化共生则是走出风雪的路标。 近日,金融投资报记者对话土巴兔创始人、CEO王国彬,其为行业绘制的"突围地图"正愈发具象。 既然商业规律无法改变,那就要迎头赶上已经到来的人工智能风口。未来的订单,每一笔交易,每一次 服务,每一个口碑,都会记录在平台上,沉淀为被AI推荐的依据,而平台就是梯子,帮你站在风口, 抓住机会。 在构建产业AI基础设施的进程中,土巴兔在AI设计、AI客服、AI质检和AI营销上不断发力,通过AI个 性化出图、户型识别和AI布局和搭配,满足客户在设计上的要求;通过AI智能应答、智能客服和客诉 处理流程优化,让用户感受到更为智能的装修交互过程。与此同时,通过AIGC内容生产和视频剪辑、 异议项目判定等方式,用AI营销和AI质检为客户提供更便捷、更高效的装修体验。 王国彬 土巴兔创始人、CEO 金融投资报记者:家装行业价格战、同质化竞争和流量的焦虑愈演愈烈,作为互联网家装 ...
土巴兔第十一届生态大会:启动装修保3.0服务
Qi Lu Wan Bao· 2025-12-18 08:44
在此次生态大会上,土巴兔围绕"用户价值"推出三管服务,即管材料、管工期和管增项,全面启动保障 服务升级(即装修保3.0)。13年,土巴兔装修保两度迭代,背后的逻辑始终是不变的"用户第一"。 作为生态大会的重要环节,土巴兔创始人兼CEO王国彬的主题演讲,一直被视为是泛家装全年发展的行 业汇报,也为新一年及未来行业发展做出预判。 大会上,土巴兔CEO王国彬围绕着"不变与变"的永恒辩论,为家装产业未来稳健发展献上一场主题演 讲。他表示,"看清'不变',是为了守住立身的根本,看清需要真正关注的'变化',是为了拥抱前行的机 会……价值创造来源于信息差、资源使用效率和创新溢价,持续创造价值差要求我们持续创造与众不同 的客户体验。" 12月18日,2025第十一届土巴兔生态大会在武汉召开。本次活动主题为"智创未来 生态共融",土巴兔 创始人兼CEO王国彬审时度势,结合当前市场大环境为整个家装生态"年终复盘",预测并提出了未来行 业发展之策。 "坚守不变的价值创造信念,拥抱变化的人工智能趋势。"王国彬表示,用户决策已被AI智能体所替代, 要求平台带领合作伙伴面向AI做价值传播。 毫无疑问,家装具有自身独特的行业属性,如产业低 ...
AI赋能建筑行业 10分钟即可完成一份行业标书初稿
Xin Jing Bao· 2025-11-14 11:19
Core Viewpoint - Guanglian Da (002410) is the first A-share listed company in China's construction engineering informationization sector, focusing on digital building platform services and providing comprehensive digital solutions for the entire lifecycle of construction projects [1] Group 1: Company Overview - Guanglian Da has established a dedicated AI research and development team since 2015, indicating its commitment to integrating advanced technologies into its services [1] - The company has launched AecGPT, the first self-developed large model for the construction industry in China, along with an industry AI platform [1] Group 2: Product Offerings - Guanglian Da offers various AI-driven solutions, including AI design, AI trading, and AI quantity surveying, showcasing its capability to address specific needs within the construction sector [1] - The company plans to release the "AI Application Action Guide for Construction Enterprises" in 2025, further promoting the deep application and development of AI in the industry [1]
科技赋能制造业,北京智造助力制造强国建设
Xin Jing Bao· 2025-10-31 02:01
Group 1: Event Overview - The "京彩不设限·经济热力站" monthly thematic visit event was held in Beijing, focusing on "Technology Leading the Way, Beijing Intelligent Manufacturing" [1] - The event involved a collective interview with 12 media outlets, highlighting the development of intelligent manufacturing enterprises in Beijing [1] Group 2: Company Highlights - Guanglianda Technology Co., Ltd. is the first A-share listed company in China's construction engineering information sector, providing digital solutions for the entire lifecycle of buildings [2] - Guanglianda has established an AI research team since 2015 and is entering a results-intensive phase in 2024, with the launch of AecGPT and various AI models for the construction industry [2] - Beijing Automotive Co., Ltd. (Beijing Off-road) showcases advanced intelligent manufacturing technologies in its smart factory, including welding robots and AGV unmanned transport vehicles [3] - Beijing Off-road has developed a diverse product matrix covering various off-road vehicle scenarios, enhancing its market recognition [3] - Kaiyun Group, a national-level specialized "little giant" enterprise in commercial aerospace, has established the first space data operation center in China and is focused on space safety [4][5] - Kaiyun Group has built a comprehensive space observation network with 30 ground observation stations and 108 satellites, addressing domestic data gaps in space [5] - Helis Group focuses on industrial intelligence, transportation intelligence, and food and drug intelligence, providing customized solutions and services [5][6] - Helis Group plans to launch the XMagital intelligent system in 2025, integrating production control and management [6] Group 3: Industry Trends - The integration of new information technology and advanced manufacturing is accelerating the digital and intelligent transformation of the global manufacturing industry [4] - Intelligent manufacturing is becoming a significant trend in industrial transformation, with Beijing promoting high-quality economic development through innovation [6]
漏洞百出的AI,快把设计师逼疯了 | 海斌访谈
Di Yi Cai Jing· 2025-06-06 03:52
Core Insights - The article discusses the limitations and potential of AI in design, particularly in architecture and graphic design, highlighting that while AI can generate designs quickly, it often lacks the precision and creativity of human designers [1][3][5]. Group 1: AI in Design - AI platforms can generate hundreds of images in seconds, but these designs often contain significant errors, such as misaligned structural elements [1][5]. - In China, AI design tools are widely used in e-commerce, with platforms like Alibaba's LuBan claiming to produce millions of promotional images during peak shopping seasons [1][2]. - The commercial viability of AI design tools is questioned, as evidenced by the planned discontinuation of LuBan's services by June 30, 2025, which will be reduced to "Taobao LuBan" [2][3]. Group 2: Designer Perspectives - Designers express concern that AI-generated designs may not meet professional standards, particularly in architecture where structural integrity is crucial [5][6]. - While AI can assist in specific tasks, such as generating stairwell designs in a fraction of the time, it struggles with more complex, creative architectural solutions [6][7]. - The consensus among industry professionals is that AI lacks the imagination and creativity that are essential in design, making it less useful for experienced designers [3][5][6]. Group 3: Future of AI in Design - The evolution of design tools has transitioned from hand-drawing to computer-aided design, and now to AI, but current AI tools are still not fully satisfactory for professional use [7]. - There is a need for human oversight in AI-generated designs to ensure quality and adherence to design objectives, as AI may produce errors due to a lack of understanding of the design purpose [6][7].