Core Insights - The core viewpoint of the articles emphasizes that brand competition is shifting from "product functionality" to "user experience" and "emotional connection" driven by digitalization and AI technology [1] Group 1: Brand AI Transformation Challenges - Traditional brands face three major challenges in their transition to intelligence: high technical barriers, significant cost investments, and difficulty in commercial validation [2] - The company offers a "plug-and-play" AI solution through its digital human white-label service, which allows brands to implement intelligent customer service in just five weeks, achieving a 30% online consultation volume in the first month and a 25% increase in customer satisfaction [2] Group 2: Customization of Digital Humans - The company provides three levels of customization for digital humans: image, voice, and behavior [4] - The modular technology approach allows brands to flexibly combine core technologies like voice interaction and knowledge graphs, reducing R&D complexity [4] - The standardized service process shortens project cycles to 4-6 weeks, improving speed by over 60% compared to traditional development methods [4] - A flexible cooperation model based on "subscription + performance sharing" allows brands to enjoy AI technology benefits without high upfront R&D costs [4] Group 3: Technical Foundation - The company's core competitive advantage lies in its self-developed "cloud brain" AI technology system, which has enabled a financial client to deploy digital human customer service across all channels while processing over 100,000 inquiries daily [6] Group 4: Scene Implementation - The company constructs an ecosystem that integrates technology, scenarios, and operations to maximize commercial value for brands [8] - The company has collaborated with over 300 brands across various industries, achieving a 90% customer renewal rate [8] - The multi-modal interaction engine supports voice, text, image, and video inputs with a response delay of less than 0.8 seconds, closely mimicking real human conversation [8] Group 5: Market Validation and Case Studies - The company has successfully implemented digital humans in various applications, such as smart retail and smart healthcare, demonstrating significant improvements in user engagement and sales [9] - For instance, a digital human tour guide increased visitor stay time by 2 hours and boosted repeat purchase rates by 18% [9] - A digital human financial advisor for a bank accounted for 45% of total inquiries across channels, achieving a 92% customer satisfaction rate [10] Group 6: Future Vision - The company aims to deepen its strategic directions by promoting the democratization of technology, developing specialized digital human models for vertical industries, and supporting Chinese brands in global markets [11]

告别 "模板化虚拟人"：让数字人成为品牌的 "数字分身" 传统数字人服务常陷入一个尴尬的陷阱：企业花了大价钱，拿到的却只是个 "通用模板改造款"—— 虚拟形象的语言风格、交互逻辑和品牌调性若即若离， 甚至可能因文化误读引发争议。 在数字经济与实体经济深度交融的 2025 年，品牌竞争早已不止于 "产品功能" 的比拼，而是升级为 "体验生态" 的较量 —— 从单向传播转向与用户的双向共 生。当消费者对 "千篇一律的虚拟形象" 逐渐审美疲劳，当企业被困在数字人服务 "有形无魂、能用难精" 的困境里，现在推出的数字人贴牌服务，正以 "品 牌基因深度融合、技术能力全程托底、商业生态持续赋能" 为核心，为企业打造 "专属智能生命体"。这让数字人从单纯的 "工具" 蜕变为 "品牌战略资产"， 重新定义企业与用户、市场、未来的连接方式。 现在的数字人通过 "品牌 DNA 解码 — 数字人基因重组 — 动态适配进化" 的三阶模型，让虚拟形象真正成为品牌的 "数字分身"。 就像某国际奢侈品牌，其核心价值是 "时间沉淀的优雅与永恒的创新"。客易云团队深入分析了品牌百年历史中的广告影像、用户访谈和社交媒体互动数 据，提炼出 "慢节 ...