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中国AI最高奖唯一特等奖背后:数字人如何成为下一代AI入口?

胡镤心 2025-03-31 11:55
胡镤心 2025/03/31 11:55

邦小白快读

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文章聚焦京东言犀数字人技术的突破和应用成果,提供实操干货和关键数据。

1. 技术突破:京东言犀团队开发低成本高保真建模技术,只需1秒视频生成4K超清形象;语义一致多模态应答技术实现语音、表情、动作精准同步;多模态自然化行为生成技术解决交互假难题,通过语音驱动表情算法协调动作。

2. 应用案例:直播带货如“采销东哥”首秀吸引4000万观看,复刻真人习惯;巴拉巴拉品牌深夜数字人直播满足碎片化需求,GMV占比达15%;安踏线下数字人直播间展示产品细节,转化率32.06%,公域GMV超140万。

3. 数据支持:超9000品牌启用言犀数字人,累计创造140亿销售额增量;未来计划探索“千人千面”直播间,基于用户画像动态调整话术。

4. 核心观点:数字人被视为零售行业下一代AI交互入口,代表新质生产力。

文章揭示数字人如何赋能品牌营销、渠道建设和消费趋势适应。

1. 品牌营销:数字人直播如“采销东哥”和格力董明珠等总裁化身,传递品牌理念同时接地气,提升亲和力;安踏案例中数字人讲解卖点,模特展示穿搭,带动GMV突破2000万。

2. 渠道建设:巴拉巴拉搭建多垂类直播间,数字人承接深夜时段,精准满足宝妈需求;安踏将线下店变“云试衣间”,实现跨时空体验,强化线上线下整合。

3. 消费趋势:用户行为显示碎片化购物需求(如凌晨闲时),数字人基于知识库(千万级母婴库)精准应答,促单效率提升;未来“千人千面”计划针对不同用户(如科技极客、宝妈)定制话术,适应个性化趋势。

4. 数据启示:转化率高达32.06%,证明高互动性;140亿销售额增量提供量化支持。

文章突出数字人直播的销售机会、可学习模式和风险应对。

1. 增长市场和机会提示:数字人直播在低流量时段(如巴拉巴拉深夜)高效承接需求,GMV占比15%稳步提升;安踏案例显示公域成交GMV达140万+,转化率32.06%,每3人浏览即有1人下单,提示高转化潜力。

2. 可学习点和最新商业模式:借鉴“CEO+数字人”混搭模式(如董明珠直播),既能专业解读产品,又能用方言讲段子;巴拉巴拉多直播间同步运营和安踏线下整合,展示轻资产模式;合作方式如依托京东云平台,可快速部署。

3. 正面影响和风险提示:GMV增量140亿证明销售提升;但需注意技术成熟度,早期数字人曾受“动作僵硬”限制,现通过多模态技术解决。

4. 事件应对:京东618期间21位大佬直播,提供节日营销范例;未来“千人千面”计划可动态调整话术应对用户变化。

文章提供数字人技术对生产设计、商业机会和数字化推进的启示。

1. 产品生产和设计需求:言犀团队开发低成本高保真人体建模技术,通过扩散模型和柔性仿真引擎降低生产成本,只需1秒视频生成形象;这启示工厂优化设计流程,减少资源投入。

2. 商业机会:数字人应用带来140亿销售额增量,超9000品牌参与,如巴拉巴拉和安踏案例,工厂可合作开发定制数字人,切入电商销售链;未来文旅领域(如大同“数字花木兰”)复制城市IP,拓展新市场。

3. 推进数字化和电商启示:数字人直播整合线上线下(如安踏“云试衣间”),提升产品展示效率;工厂可学习京东模式,利用数字人解决库存展示和用户交互难题,推动智能制造转型。

4. 案例参考:巴拉巴拉利用数字人精准应答育儿知识,促单效率提升,提供实操范例。

文章分析行业趋势、新技术创新及客户痛点解决方案。

1. 行业发展趋势:数字人被定位为下一代AI交互入口,京东计划2025年“千人千面”直播间;文旅领域拓展(如双语讲解古迹),显示多行业应用潜力。

2. 新技术:言犀团队提出低成本建模、语义一致多模态应答(支持场景理解如“显瘦”推荐)、多模态自然化行为生成技术;首创语音驱动表情算法,协调动作和语音,解决“答非所问”和“交互假”痛点。

3. 客户痛点和解决方案:早期数字人痛点包括动作僵硬和高成本,现通过扩散模型降低生产成本90%;语义对齐难题用多模态技术解决,实现精准同步;安踏案例中数字人无缝切换穿搭,演示产品细节,提供完整方案。

4. 数据支持:140亿销售额增量和9000品牌应用,量化技术效果。

文章探讨平台需求、最新运营策略及招商管理。

1. 商业对平台需求和问题:商家需低成本高交互数字人解决方案,京东云平台整合技术(如多模态引擎),解决早期“动作僵硬”问题;平台需支持多品牌同步运营,如巴拉巴拉近10个直播间管理。

2. 平台最新做法:京东言犀推出数字人直播模式,包括总裁上阵、双人互动等玩法;安踏案例中线下店变“云试衣间”,展示跑鞋弯折等细节,优化用户体验;未来“千人千面”计划基于用户画像动态调整话术。

3. 平台招商和运营管理:超9000品牌启用言犀数字人,提供招商范例;运营中监控GMV(如安踏11.11期间突破2000万)和转化率(32.06%),实现高效管理;风险规避通过技术成熟度提升,减少流量损失。

4. 合作方式:品牌如巴拉巴拉依托平台优势,深夜数字人承接需求,提示轻运营模式。

文章揭示产业新动向、技术难题及商业模式创新。

1. 产业新动向:京东言犀项目获2024年吴文俊人工智能科学技术奖特等奖,标志数字人技术突破;从“采销东哥”爆火到9000品牌应用,显示规模化趋势;未来文旅复制城市IP,探索新应用场景。

2. 新问题和挑战:多模态语义难对齐、多样化行为协调难题(早期“动作僵硬”),言犀通过语义一致应答和自然化行为生成技术解决;政策法规建议隐含技术标准需求,如确保数据隐私。

3. 商业模式启示:数字人驱动新质生产力,如直播带货GMV增量140亿,相当于30个北京SKP;混合模式(CEO+数字人)提升转化率,提供可复制模型;观点指出数字人代表AI颠覆性产品,组成大模型时代商业基因。

4. 案例和数据:巴拉巴拉育儿知识库精准应答,安踏高转化率,提供实证研究点。

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Quick Summary

The article focuses on breakthroughs and applications of JD.com's Yanxi digital human technology, providing practical insights and key data.

1. Technical breakthroughs: The Yanxi team developed low-cost, high-fidelity modeling technology, generating a 4K ultra-clear avatar from just 1 second of video; semantic-consistent multimodal response technology achieves precise synchronization of voice, expressions, and movements; multimodal natural behavior generation technology solves interaction awkwardness through voice-driven expression algorithms coordinating actions.

2. Application cases: Live commerce streams like "Procurement Brother Dong" attracted 40 million views in its debut, replicating real human habits; Balabala's late-night digital human streams met fragmented consumer demand, accounting for 15% of GMV; Anta's offline digital human livestreams showcased product details, achieving a 32.06% conversion rate and over 1.4 million RMB in public domain GMV.

3. Data support: Over 9,000 brands have adopted Yanxi digital humans, cumulatively generating 14 billion RMB in incremental sales; future plans include exploring "one-thousand-people, one-thousand-faces" livestreams that dynamically adjust scripts based on user profiles.

4. Core viewpoint: Digital humans are positioned as the next-generation AI interaction gateway for retail, representing new quality productive forces.

The article reveals how digital humans empower brand marketing, channel development, and adaptation to consumer trends.

1. Brand marketing: Digital human livestreams like "Procurement Brother Dong" and Gree's Dong Mingzhu CEO avatar convey brand ethos while enhancing relatability; Anta's case demonstrated digital humans explaining product highlights while models showcased outfits, driving GMV over 20 million RMB.

2. Channel development: Balabala established multiple vertical livestream rooms, with digital humans covering late-night slots to precisely meet young mothers' needs; Anta transformed offline stores into "cloud fitting rooms," enabling cross-spatiotemporal experiences and strengthening O2O integration.

3. Consumer trends: User behavior reflects fragmented shopping demands (e.g., late-night browsing), where digital humans leverage knowledge bases (e.g., million-scale parenting databases) for precise responses, boosting conversion efficiency; future "one-thousand-people, one-thousand-faces" plans will customize scripts for different user segments (e.g., tech enthusiasts, mothers), adapting to personalization trends.

4. Data insights: A 32.06% conversion rate proves high interactivity; 14 billion RMB in incremental sales provides quantitative validation.

The article highlights sales opportunities, learnable models, and risk management in digital human livestreaming.

1. Growth markets and opportunities: Digital humans efficiently capture demand during low-traffic periods (e.g., Balabala's late-night streams), with GMV share steadily reaching 15%; Anta's case shows public domain GMV exceeding 1.4 million RMB and a 32.06% conversion rate—1 in 3 viewers placed orders—indicating high conversion potential.

2. Learnable models and latest business formats: Adopt hybrid "CEO + digital human" formats (e.g., Dong Mingzhu's streams) for professional product insights paired with relatable banter; emulate Balabala's multi-room synchronization and Anta's offline integration for asset-light operations; leverage partnerships like JD Cloud for rapid deployment.

3. Positive impacts and risks: 14 billion RMB GMV增量 confirms sales uplift; however, early limitations like "rigid movements" required multimodal tech solutions.

4. Event strategies: JD's 618 festival featured 21 executive livestreams, offering holiday marketing templates; future "one-thousand-people, one-thousand-faces" plans enable dynamic script adjustments for user shifts.

The article offers insights on digital human technology's implications for production design, business opportunities, and digital transformation.

1. Production and design needs: Yanxi's low-cost, high-fidelity modeling using diffusion models and flexible simulation engines reduces production costs—avatars generated from 1-second videos inspire factories to optimize design processes with fewer resources.

2. Business opportunities: Digital human applications drove 14 billion RMB in incremental sales across 9,000+ brands (e.g., Balabala, Anta); factories can collaborate on custom digital humans to enter e-commerce chains; future cultural tourism replication (e.g., Datong's "Digital Mulan") expands into new markets.

3. Digital and e-commerce启示: Livestreams integrate online/offline (e.g., Anta's "cloud fitting rooms") to enhance product display efficiency; factories can adopt JD's model to address inventory showcasing and user interaction challenges, advancing smart manufacturing.

4. Case references: Balabala's use of digital humans for precise parenting knowledge responses offers practical efficiency benchmarks.

The article analyzes industry trends, technological innovations, and client pain point solutions.

1. Industry trends: Digital humans are positioned as next-gen AI interaction gateways, with JD planning "one-thousand-people, one-thousand-faces" livestreams by 2025; expansion into cultural tourism (e.g., bilingual heritage explanations) reveals cross-industry potential.

2. New technologies: Yanxi pioneered low-cost modeling, semantic-consistent multimodal responses (e.g., understanding "slim-fit" requests), and natural behavior generation; voice-driven expression algorithms synchronize actions and speech, resolving "irrelevant responses" and "awkward interaction" issues.

3. Client pain points and solutions: Early challenges like rigid movements and high costs were addressed—diffusion models cut production costs by 90%; semantic alignment issues were solved via multimodal tech for precise synchronization; Anta's case demonstrated seamless outfit switches and detailed product demonstrations.

4. Data support: 14 billion RMB sales增量 and 9,000+ brand adoptions quantify technological efficacy.

The article explores platform demands, latest operational strategies, and merchant management.

1. Merchant demands and platform solutions: Brands seek low-cost, high-interactivity digital humans—JD Cloud integrates multimodal engines to resolve early "rigid movement" issues; platforms must support multi-brand synchronization, like Balabala's near-10 livestream room management.

2. Platform innovations: Yanxi launched digital human formats including CEO appearances and dual-host interactions; Anta transformed offline stores into "cloud fitting rooms" showcasing details like shoe flexibility to optimize UX; future "one-thousand-people, one-thousand-faces" plans will dynamically tailor scripts.

3. Merchant recruitment and operations: 9,000+ brands using Yanxi digital humans offer recruitment models; operations monitor GMV (e.g., Anta's 11.11 GMV exceeding 20 million RMB) and conversion rates (32.06%) for efficiency; risks are mitigated through matured technology to reduce traffic loss.

4. Partnership models: Brands like Balabala leverage platform advantages for late-night demand capture, illustrating asset-light operations.

The article reveals industrial shifts, technical challenges, and business model innovations.

1. Industrial trends: JD's Yanxi project won the 2024 Wu Wenjun AI Science & Technology Award特等奖, signaling digital human breakthroughs; from "Procurement Brother Dong's" viral success to 9,000+ brand adoptions, scaling trends emerge; future cultural tourism IP replication explores new applications.

2. New challenges: Multimodal semantic alignment and behavioral coordination (e.g., early "rigid movements") were addressed via semantic-consistent responses and natural behavior generation; policy implications hint at technical standard needs like data privacy.

3. Business model启示: Digital humans drive new quality productive forces—live commerce generated 14 billion RMB GMV增量, equivalent to 30 Beijing SKP department stores; hybrid models (CEO + digital human) boost conversion rates, offering replicable frameworks; digital humans represent disruptive AI products shaping commerce in the large-model era.

4. Case studies and data: Balabala's parenting knowledge base precision and Anta's high conversion rates provide empirical research points.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

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【亿邦原创】当数字人技术尚困在“动作僵硬”“答非所问”的泥沼中时,基于京东云技术支撑,京东言犀团队已在悄然编织一张覆盖多模态交互的技术网络。

自2021年起,京东连续斩获“吴文俊人工智能科学技术奖”,2024年更是凭借“多模态交互式数字人关键技术及产业应用”项目荣获中国智能科学技术最高奖——吴文俊人工智能科学技术奖的特等奖,也是本年度唯一的特等奖。

在技术突破此起彼伏的2024年,言犀数字人凭什么能博得吴文俊奖的头筹?这个拿下特等奖的数字人,究竟藏着哪些黑科技?让我们掀开它的赛博面纱。

1、“采销东哥”成数字人发展转折点

早期的数字人,受限于高成本和低拟人度(动作僵硬、表情不自然),总会因为“一眼假”的机械感和流量限制,应用极其受限。

2024年4月,“采销东哥”的爆火成为数字人发展的转折点。直播间里的“采销东哥”,不仅复刻了原主标志性的宿迁口音、搓手指习惯,还能分享烹饪心得,实时解答产品技术参数。这场直播首秀吸引了4000万观看量。

这种“CEO+数字人”的混搭模式,也让总裁数字人直播既能传递品牌理念,又让高冷的企业家人设接地气。随后的京东618,格力董明珠、名创优品叶国富等21位大佬化身直播间“福利官”,既能用方言讲段子,又能专业解读产品参数。

此后,京东言犀数字人一发不可收拾,上演现场试妆、双人互动接捧哏、总裁上阵、模特走秀、抱着玩偶坐播、现场品酒等超出想象的玩法。

童装品牌巴拉巴拉依托京东云的技术和平台优势,搭建了近10个垂类直播间同步运营,深夜时段由数字人承接,满足宝妈宝爸碎片化购物需求,精准承接凌晨闲时需求。基于千万级母婴知识库,从防过敏的面料有哪些,到春节换季童装选购指南,数字人已经可以实现专业育儿顾问般的精准应答,促单效率大幅提升。今年2月份,数字人直播在整个GMV占比达到15%,正在稳步提升。

安踏联合言犀数字人,在成都线下旗舰店打造了高仿真的定制数字人直播间,让线下门店变身“云试衣间”,消费者可跨时空体验商品细节。主播数字人讲解卖点,模特数字人无缝切换30余件爆款穿搭,展示跑鞋弯折、羽绒服充绒量等产品细节。2024年京东11.11期间,数字人带动直播间GMV突破2000万,公域成交GMV达140万+,转化率32.06%,相当于每3人浏览即有1人下单,转化率极高。

2、让数字人“真假难辨”

这些活灵活现的“数字分身”背后,是京东言犀团队深耕多年的技术积累。

京东言犀相关人员向亿邦动力介绍:首先,言犀团队提出了低成本、高保真人体建模技术,解决了人体建模成本高、观感差难题。通过扩散模型和柔性仿真引擎,将数字人生产成本大幅降低,只需1秒视频/照片就能生成4K超清形象。

其次,提出了语义一致多模态应答技术,解决了多模态语义难对齐、应答弱难题,实现语音、表情、动作的精准同步;同时,支持复杂场景理解,例如用户说“显瘦”时,自动推荐“深色系+H型剪裁”。

第三, 提出了多模态自然化行为生成技术,解决了多样化行为难协调、交互假难题。

这背后是首创的语音驱动表情算法,即数字人什么时候该怎么动,什么时候该喊,什么时候该轻声细语,要通过声音来驱动。通过多模态驱动,最后呈现出一个整体形象。

“每一代技术创新都需要有自己的代表性的产品。我们说起PC就会想起微软英特尔,说起移动互联网就会想起大厂,说起新一代AI我们会想起什么?数字人就是这样一个可以代表AI的颠覆性产品,有机会成为零售行业下一代交互的新入口。”该负责人表示。

据最新数据,已有超9000个品牌启用言犀数字人,累计创造140亿销售额增量,相当于在虚拟世界重建了30个北京SKP。

3、从“一眼假”到“千人千面”

2025年,京东言犀计划探索“千人千面”的数字人直播间,基于用户画像动态调整话术风格,比如对科技极客侧重参数解析,对宝妈增加育儿知识穿插。在文旅领域,大同“数字花木兰”已实现中英双语讲解古迹,京东计划将总裁数字人经验复制至城市IP打造。

这样的探索不一而足,从“采销东哥”的破圈到9000+品牌的规模化应用,从140亿GMV到吴文俊奖唯一特等奖,我们看到的不仅是技术奇迹,更是一个关于新质生产力的鲜活注脚——在这里,最硬核的AI技术牵手最柔软的沟通情商,一起组成大模型时代新的商业基因。

文章来源:亿邦动力

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