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中建云筑:行业高质量数据集底座,赋能建筑供应链AI升级

亿邦智库 2026-10-16 09:54
亿邦智库 2026/10/16 09:54

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总1:重点信息。云筑平台把建筑行业海量数据变成高质量AI数据集,包含2.2PB数据沉淀、10万条标注样本,覆盖供应商、建材、工程业绩、绿色建筑等七大板块,标注准确率超90%,通过国家人工智能数据集质量4级评估,并入选国务院国资委和国家数据局典型案例。

1. 平台已服务超110万家建筑供应商,覆盖2300万劳务人员,累计成交额突破10万亿元,年交易额超1.2万亿元,是建筑供应链数字化的标杆。

2. 数据集中整合了100万供应商经营、履约、价格、招采信息,可以直接用于AI训练,为智能寻源、智能询价、标书自检等工具提供基础。

总2:实操干货。这些AI工具已经在真实业务中产生明显效果。

1. 找供应商:AI寻源可以对110万家供应商做1000余个特征标签分析,最快5分钟摸清一家供应商情况,匹配准确率74%,供应商入库后投标成功率提升52%。

2. 查价格:智能询价覆盖3000种商品价格,查价效率提升6倍,建立超30万个标准商品价格库,累计查询超50万次,价格更透明。

3. 查标书:标书自检准确率超90%,已服务超6万家供应商,产出22万份检测报告,可降低90%废标风险,帮用户规避风险超5.6万次。

总1:品牌渠道建设。建筑央企集采平台是品牌触达大客户的高效渠道。

1. 云筑商城SKU超360万,累计销售额在建筑央企MRO领域排名第一,支持标准商城、SaaS商城等多元采购方式,对接物资源头,实现当日下单次日到货,品牌商可入驻获得稳定订单。

2. 绿色建材商城入驻超8400家绿色供应商,覆盖近4300个绿色产品,从定义绿、评价绿、采购绿、追踪绿四个维度打造,品牌商可借此建立绿色低碳品牌形象。

总2:品牌定价与产品研发。AI让价格更透明,逼着品牌商优化产品和报价。

1. 智能询价系统覆盖3000种商品价格,聚合多供方报价,构建超30万个标准商品的行业价格库,品牌商需要参考真实成交价制定有竞争力的价格。

2. 平台用AI对110万家供应商打1000余个特征标签,品牌商需要完善产品资质、业绩、绿色属性等数据,才能在智能寻源中被优先推荐。

总3:用户行为观察。采购方和供应方正在快速向在线化、数据化迁移。

1. 寻源平台上线9个月,日活用户超1万,入驻采方超200家,累计需求数超4万,响应供应商超8万家。

2. 云筑万象智能体平台新增435个智能体,近70个供应链场景被AI覆盖,品牌商需要适配数据化工具才能融入新生态。

总1:政策解读与机会。这个项目获得国家级认可,说明建筑供应链数字化是明确方向。

1. 数据集入选国务院国资委首批央企AI高质量数据集优秀建设成果,并入选国家数据局典型案例,卖家所在领域将获得更多政策资源倾斜。

2. 云筑依托中国建筑,服务超110万家供应商,累计成交超10万亿元,年交易额超1.2万亿元,数字供应链赛道有巨大增长空间。

总2:增长市场与合作方式。平台开放了多个入口。

1. 云筑商城SKU超360万,支持标准商城和SaaS商城入驻,对接物资源头,实现高效履约;绿色建材商城已有8400余家绿色供应商,绿色产品是差异化卖点。

2. 海外寻源平台覆盖泰国、马来西亚、印尼超2000家属地分供商,以及超10000家具备海外业绩的国内出海分供商,平台用AI推送海外真实在建项目信息,是出海新渠道。

3. 寻源平台已有4万条真实采购需求,响应供应商超8万家,卖家完善标签和资质可获得精准商机。

总3:风险提示与应对。AI正在消除信息差。

1. 智能询价和价格库让报价透明化,卖家不能再靠信息不对称赚差价,要靠真实成本、服务质量和绿色资质竞争。

2. 标书不合规是常见废标原因,使用标书自检工具可降低90%废标风险,服务超6万家供应商,是低成本风控手段。

总1:产品需求变化。平台用AI重新定义供应商选择标准,工厂需要让产品更标准、更数据化、更绿色。

1. AI对110万家供应商做1000余个特征标签分析,工厂只有完善资质、业绩、材料品类、绿色属性等信息,才能在智能寻源中被精准匹配。

2. 绿色建材商城从定义绿、评价绿、采购绿、追踪绿四个维度筛选产品,已有8400余家绿色供应商、近4300个绿色产品入驻,绿色设计和认证成为工厂拿到订单的重要条件。

总2:商业机会。建筑采购体量巨大,海外市场正在打开。

1. 云筑平台累计成交超10万亿元,年交易额超1.2万亿元,商城SKU超360万,在建筑央企MRO领域销售额第一,工厂可入驻成为分供商。

2. 海外寻源平台上线,覆盖泰国、马来西亚、印尼超2000家属地分供商,以及超10000家国内出海分供商,汇聚全球超500个真实在建项目,用AI为工厂推送海外商机。

总3:数字化启示。工厂应该把数据当作核心资产。

1. 云筑从2.2PB海量数据中清洗标注出高质量数据集,说明数据是AI时代的生产资料,工厂需要主动沉淀生产、履约、价格等数据。

2. 平台AI工具已带来实际效率提升,如寻源匹配准确率74%、投标成功率提升52%、标书自检准确率超90%,数字化程度高的工厂更容易获得订单。

总1:行业趋势。建筑供应链正在从数字供应链迈向智慧供应链,AI大模型和智能体成为新基础设施。

1. 云筑构建数据、平台、场景、模型四位一体AI实践路径,沉淀出建筑供应链专业大模型,在8大方向显著优于通用大模型,推理耗时仅为通用模型的10%。

2. 云筑万象智能体开发平台新增435个智能体,70%开发者是非算法人员,说明AI应用门槛正在大幅降低,服务商可围绕智能体开发提供支持。

总2:客户痛点与解决方案。建筑供应链的客户痛点是数据不标准、寻源难、价格不透明、标书易出错。

1. 云筑用2.2PB数据清洗加工成10万条标注样本,标注准确率超90%,解决AI训练数据匮乏问题;建立闭环质控体系,从原始数据清洗到数据验收都有规范。

2. 智能寻源匹配准确率74%,供应商信息5分钟摸清;智能询价覆盖3000种商品价格,查价效率提升6倍;标书自检准确率超90%,都是针对具体痛点的可复用方案。

总3:可借鉴的技术路线。云筑采用OCR、NLP、大模型组合实现标书智检,资审自检整合DeepSeek数据处理和深度推理优势,采购文本生成算法已通过国家网信办深度合成服务算法备案。服务商可以借鉴其算法备案路径和AI工具矩阵设计。

总1:平台需求与最新做法。建筑行业需要产业互联网平台解决链条长、主体杂、数据协同难的问题,云筑的做法是用高质量数据驱动全链路智能化。

1. 平台打造高质量数据集,涵盖供应商、建材、工程业绩、绿色建筑等领域,通过国家人工智能数据集质量4级评估,为AI工具提供燃料。

2. 构建寻源、采购、履约智能闭环,覆盖寻源招标、采购商城、数字科技、智慧物流等全供应链服务,累计履约额超10万亿元,年交易额超1.2万亿元。

总2:平台招商与合作。云筑开放了商城、集采、绿色建材、海外寻源等入口。

1. 云筑商城SKU超360万,支持标准商城、SaaS商城,对接物资源头,招商面向全国供应商;绿色建材商城已有8400余家供应商,招商方向侧重绿色低碳。

2. 海外寻源平台覆盖泰国、马来西亚、印尼超2000家属地分供商及超10000家国内出海分供商,平台商也可借鉴其海外资源整合模式。

3. 供应链金融提供信融宝累计放款超200亿元、反向保理超1000亿元,为入驻商家解决资金问题。

总3:运营管理与风险规避。平台运营要重视数据质量和合规风控。

1. 数据治理上建立严格标注规范和闭环质控体系,标注团队由行业专家与AI技术人员共同组成,确保数据符合业务逻辑和模型训练要求。

2. 风控上在业务全流程44个关键节点自动稽查,通过合同流、货物流、资金流、发票流、信息流五流一致和四个统一机制确保合规。

总1:产业新动向。建筑行业供应链数字化进入以高质量数据集支撑AI应用的新阶段。

1. 云筑将2.2PB海量业务数据加工成10万条标注样本的行业数据集,入选国家数据局典型案例,反映央企正把数据资产化、标准化。

2. 产业互联网生态逐步成型,云筑构建寻源、采购、履约闭环,累计成交超10万亿元,年交易额超1.2万亿元,数字供应链成为建筑行业新价值锚点。

总2:新问题与政策法规启示。建筑行业数据协同难、缺乏标准化AI训练数据,需要行业级数据治理机制和合规备案。

1. 云筑建立从原始数据清洗、标注任务分发、质量抽检到数据验收的闭环质控体系,为行业提供高质量数据集治理参考。

2. 采购文本生成算法通过国家网信办深度合成服务算法备案,说明AI应用需纳入算法备案监管;海外寻源涉及跨境数据与业务合规,是值得研究的政策议题。

总3:商业模式创新。云筑形成以数据和AI工具为核心的多方参与商业生态。

1. 商业模式覆盖集采、商城、供应链金融、绿色建材、海外商机匹配,标书检测等工具已商业化落地,产出22万份报告,验证了AI工具独立变现能力。

2. 智能体开发平台让非算法人员也能创建智能体,覆盖近70个供应链场景,AI能力正从专家工具变成产业通用能力,重塑建筑供应链组织方式。

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Quick Summary

Summary 1: Key takeaways. The Yunzhu platform turns massive construction industry data into high-quality AI datasets, with 2.2PB of data accumulated and 100,000 labeled samples. It covers seven major segments — suppliers, building materials, project performance, green buildings, etc. — with a labeling accuracy exceeding 90%. The dataset has passed the national AI dataset quality Level 4 assessment and was selected as a typical case by both the SASAC and the National Data Administration.

1. The platform has served over 1.1 million construction suppliers, covered 23 million workers, and achieved cumulative transaction volume exceeding RMB 10 trillion, with annual transaction volume surpassing RMB 1.2 trillion. It is a benchmark for construction supply chain digitalization.

2. The dataset integrates operational, fulfillment, pricing, and procurement information from 1 million suppliers, and can be directly used for AI training. It provides the foundation for tools such as intelligent sourcing, intelligent price inquiry, and bid document self-check.

Summary 2: Practical value. These AI tools have already produced measurable results in real business operations.

1. Finding suppliers: AI-powered sourcing can analyze over 1,000 feature tags across 1.1 million suppliers, assess a supplier's profile in as fast as 5 minutes, and achieve a matching accuracy of 74%. After onboarding, suppliers see a 52% improvement in bid success rates.

2. Checking prices: Intelligent price inquiry covers prices for 3,000 product categories, improves price lookup efficiency by 6 times, and has built a standard price database of over 300,000 products with more than 500,000 cumulative queries — making prices more transparent.

3. Checking bids: The bid document self-check tool has an accuracy of over 90%, has served more than 60,000 suppliers, produced 220,000 inspection reports, reduces the risk of bid rejection by 90%, and has helped users avoid risks more than 56,000 times.

Summary 1: Brand channel development. The centralized procurement platform of a construction SOE is an efficient channel for brands to reach key clients.

1. Yunzhu Mall offers over 3.6 million SKUs, ranking first in MRO sales among construction SOEs. It supports multiple procurement methods including standard mall and SaaS mall, connects directly with material sources, and achieves next-day delivery for orders placed the same day. Brands can join and secure stable orders.

2. The Green Building Materials Mall hosts over 8,400 green suppliers and nearly 4,300 green products. It is built around four dimensions: defining green, evaluating green, sourcing green, and tracking green. Brands can leverage it to build a low-carbon, green brand image.

Summary 2: Brand pricing and product development. AI is making prices more transparent, pushing brands to optimize products and quotations.

1. The intelligent price inquiry system covers 3,000 product categories, aggregates quotes from multiple suppliers, and has built an industry price database of 300,000+ standard products. Brands need to reference real transaction prices to set competitive prices.

2. The platform uses AI to tag 1.1 million suppliers with over 1,000 features. Brands must improve product qualifications, track records, and green attributes to be prioritized in intelligent sourcing.

Summary 3: User behavior observations. Both buyers and suppliers are rapidly moving toward online and data-driven operations.

1. The sourcing platform, launched just 9 months ago, has surpassed 10,000 daily active users, attracted over 200 corporate buyers, handled over 40,000 procurement demands, and received responses from over 80,000 suppliers.

2. The Yunzhu Wanxiang agent platform has added 435 intelligent agents, covering nearly 70 supply chain scenarios. Brands need to adapt to data-driven tools to integrate into this new ecosystem.

Summary 1: Policy interpretation and opportunities. This project has received national recognition, indicating that construction supply chain digitalization is a clear strategic direction.

1. The dataset was named among the first batch of excellent AI high-quality dataset achievements by central SOEs under the SASAC, and was also selected as a typical case by the National Data Administration. Sellers in this field will gain more policy support.

2. Backed by China State Construction, Yunzhu serves over 1.1 million suppliers, with cumulative transaction volume exceeding RMB 10 trillion and annual transaction value surpassing RMB 1.2 trillion. The digital supply chain track has enormous growth potential.

Summary 2: Growth markets and cooperation channels. The platform has opened multiple entry points.

1. Yunzhu Mall has over 3.6 million SKUs and supports both standard mall and SaaS mall onboarding. It connects directly to material sources for efficient fulfillment. The Green Building Materials Mall already hosts more than 8,400 green suppliers, making green products a differentiation point.

2. The overseas sourcing platform covers over 2,000 local subcontractors and suppliers in Thailand, Malaysia, and Indonesia, as well as over 10,000 domestic Chinese suppliers with overseas project experience. The platform uses AI to push real overseas in-progress project information, creating a new channel for going global.

3. The sourcing platform has accumulated 40,000 real procurement demands, with over 80,000 suppliers responding. Sellers can obtain precise business opportunities by improving their tags and qualifications.

Summary 3: Risk warnings and responses. AI is eliminating information asymmetry.

1. Intelligent price inquiry and the price database make quotations transparent. Sellers can no longer profit from information gaps; they must compete on real costs, service quality, and green qualifications.

2. Non-compliant bid documents are a common cause of bid rejection. Using the bid document self-check tool can reduce the risk of rejection by 90%. It has already served over 60,000 suppliers and is a low-cost risk control measure.

Summary 1: Changing product requirements. The platform is using AI to redefine supplier selection criteria. Factories need to make their products more standardized, more data-driven, and greener.

1. AI analyzes 1.1 million suppliers using over 1,000 feature tags. Factories that improve their qualifications, performance records, material categories, and green attributes will be better matched in intelligent sourcing.

2. The Green Building Materials Mall selects products across four dimensions: defining green, evaluating green, sourcing green, and tracking green. It already hosts over 8,400 green suppliers and nearly 4,300 green products. Green design and certification are becoming essential for factories to win orders.

Summary 2: Business opportunities. Construction procurement is massive, and overseas markets are opening up.

1. The Yunzhu platform has achieved cumulative transactions of more than RMB 10 trillion, with annual transactions over RMB 1.2 trillion. The mall has more than 3.6 million SKUs and ranks first in sales among construction SOE MRO platforms. Factories can join as subcontractors or suppliers.

2. The overseas sourcing platform has launched, covering over 2,000 local suppliers in Thailand, Malaysia, and Indonesia, plus over 10,000 domestic Chinese suppliers with overseas experience. It aggregates more than 500 real overseas construction projects and uses AI to push overseas business opportunities to factories.

Summary 3: Digitalization insights. Factories should treat data as a core asset.

1. Yunzhu transformed 2.2PB of raw data into a high-quality labeled dataset, showing that data is a production factor in the AI era. Factories need to proactively accumulate production, fulfillment, and pricing data.

2. The platform's AI tools have already delivered real efficiency gains — sourcing matching accuracy of 74%, a 52% improvement in bid success rates, and bid document self-check accuracy above 90%. Factories with a higher degree of digitalization are more likely to win orders.

Summary 1: Industry trends. The construction supply chain is moving from digital supply chains to intelligent supply chains, with AI large models and intelligent agents becoming new infrastructure.

1. Yunzhu has established a four-in-one AI practice pathway covering data, platform, scenarios, and models. It has developed a specialized large model for construction supply chains that significantly outperforms general-purpose models in 8 directions, with inference time of only 10% of general models.

2. The Yunzhu Wanxiang intelligent agent development platform has added 435 agents, and 70% of developers are non-algorithm specialists. This shows that the barrier to AI application is dropping rapidly, and service providers can support agent development.

Summary 2: Customer pain points and solutions. The construction supply chain suffers from non-standard data, difficult sourcing, opaque pricing, and error-prone bid documents.

1. Yunzhu processed 2.2PB of raw data into 100,000 labeled samples with over 90% labeling accuracy, solving the shortage of AI training data. It established a closed-loop quality control system covering raw data cleaning through data acceptance.

2. Intelligent sourcing achieves 74% matching accuracy and can assess a supplier's profile in 5 minutes; intelligent price inquiry covers 3,000 product categories and improves lookup efficiency by 6 times; bid document self-check accuracy exceeds 90%. These are reusable solutions targeting specific pain points.

Summary 3: A replicable technical roadmap. Yunzhu uses a combination of OCR, NLP, and large models for intelligent bid document checking. Its qualification review integrates DeepSeek's data processing and deep reasoning strengths, and its procurement text generation algorithm has passed the CAC's algorithm filing for deep synthesis services. Service providers can learn from its algorithm filing path and AI tool matrix design.

Summary 1: Platform demand and latest practices. The construction industry needs an industrial internet platform to solve problems of long chains, diverse participants, and difficult data coordination. Yunzhu's approach is to use high-quality data to drive intelligentization across the entire value chain.

1. The platform has built high-quality datasets covering suppliers, building materials, project performance, green buildings, and more. It passed the national AI dataset quality Level 4 assessment, providing fuel for AI tools.

2. It has established an intelligent closed loop covering sourcing, procurement, and fulfillment, spanning the entire supply chain — from sourcing and tendering, procurement mall, digital technology, to smart logistics. Cumulative fulfillment value exceeds RMB 10 trillion, with annual transaction volume over RMB 1.2 trillion.

Summary 2: Platform recruitment and cooperation. Yunzhu has opened multiple entry points: mall, centralized procurement, green building materials, and overseas sourcing.

1. Yunzhu Mall has over 3.6 million SKUs, supports standard mall and SaaS mall, and connects directly with material sources. Recruitment is open to suppliers nationwide. The Green Building Materials Mall already has more than 8,400 suppliers, with a focus on green and low-carbon solutions.

2. The overseas sourcing platform covers over 2,000 local suppliers in Thailand, Malaysia, and Indonesia, and over 10,000 domestic suppliers with overseas capabilities. Platform operators can learn from its overseas resource integration model.

3. Supply chain finance services include credit financing with cumulative disbursements exceeding RMB 20 billion, and reverse factoring exceeding RMB 100 billion, helping merchants solve funding issues.

Summary 3: Operations management and risk avoidance. Platform operators must emphasize data quality and compliance risk control.

1. In data governance, the platform has established strict labeling standards and a closed-loop quality control system. The labeling team consists of industry experts and AI technical personnel, ensuring data conforms to business logic and model training requirements.

2. In risk control, the platform automatically audits 44 key nodes across business processes, using the "five flows" (contract flow, goods flow, capital flow, invoice flow, and information flow) and "four unifications" to ensure compliance.

Summary 1: New industry trends. Digitalization of the construction supply chain has entered a new phase where high-quality datasets support AI applications.

1. Yunzhu transformed 2.2PB of business data into an industry dataset of 100,000 labeled samples. The dataset was selected as a typical case by the National Data Administration, reflecting how central SOEs are turning data into assets and standardizing it.

2. The industrial internet ecosystem is gradually taking shape. Yunzhu has built a closed loop of sourcing, procurement, and fulfillment, with cumulative transactions over RMB 10 trillion and annual transactions over RMB 1.2 trillion. Digital supply chains have become a new value anchor for the construction industry.

Summary 2: New problems and policy implications. The construction industry faces data coordination difficulties and a lack of standardized AI training data. Industry-level data governance mechanisms and compliance filing are needed.

1. Yunzhu has established a closed-loop quality control system covering raw data cleaning, annotation task distribution, quality sampling, and data acceptance, providing a governance reference for industry-grade datasets.

2. Its procurement text generation algorithm has passed the CAC's algorithm filing for deep synthesis services, showing that AI applications must be placed under algorithm filing supervision. Overseas sourcing also involves cross-border data and business compliance, which is a policy issue worth further study.

Summary 3: Business model innovation. Yunzhu has formed a multi-party business ecosystem centered on data and AI tools.

1. The business model covers centralized procurement, e-mall, supply chain finance, green building materials, and overseas opportunity matching. Tools such as bid document checking have been commercialized, producing 220,000 reports and validating the independent monetization ability of AI tools.

2. The intelligent agent development platform allows non-algorithm personnel to create agents, covering nearly 70 supply chain scenarios. AI capabilities are transforming from expert tools into industry-wide general capabilities, reshaping the organizational model of the construction supply chain.

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【亿邦原创】建筑行业供应链链条长、主体繁杂、数据协同困难,行业普遍缺少标准化AI训练数据,制约智能化落地。作为中国建筑倾力打造的建筑产业互联网标杆服务平台,云筑坚持“产业互联、科技赋能”思路,依托平台2.2PB海量沉淀数据,搭建闭环质控体系,打造含10万条标注样本的行业专属高质量数据集[1],覆盖供应商、建材、工程业绩、绿色建筑等七大业务板块,标注准确率超90%。数据集支撑智能寻源、智能询价、标书自检等工具落地,供应商匹配推荐准确率提升至84%,标书检测工具商业化落地,累计服务6万余家供应商,产出22万份检测报告[2]。

从“数据海洋”到高质量数据集

建筑行业是国民经济支柱产业,也是数字化转型的深水区。长期以来,行业供应链条长、参与主体多、协同效率低,采购透明性不足、数字化渗透率低等痛点突出。更关键的是,建筑行业普遍缺少标准化、可直接用于人工智能训练的数据资产,AI应用缺乏“燃料”。

云筑的破局思路,是从多年积累的海量业务数据中提炼出高质量数据集。作为建筑行业最早开展数字化转型服务的探索者、先行者和深度参与者,中建发展所属中建电商依托自身在建筑供应链领域的海量数据积累,完成了数据提取、数据清洗、数据加工等工作[3]。目前,云筑平台已服务全国超110万家建筑供应商,覆盖劳务人员超2300万,累计成交量突破10万亿元,在同类建筑央企集采领域持续排名第一[4],这为数据集构建提供了厚实的产业底座。

2025年,这份底座价值接连获得国家权威背书。5月,国务院国资委在第八届数字中国建设峰会期间,集中发布首批10余个行业30项央企人工智能行业高质量数据集优秀建设成果,“建筑行业供应链高质量数据集”成功入选[3]。8月28日,国家数据局在2025中国国际大数据产业博览会“高质量数据集主题交流活动”上发布高质量数据集典型案例,该数据集再次入选[2]。

据介绍,“建筑行业供应链高质量数据集”以“可直接用于人工智能训练”为目标打造,整合云筑网100万供应商基础经营信息、履约信用信息、材料价格信息、招采信息,聚焦建筑行业供应链关键场景,涵盖供应商、商品、工程业绩、建筑施工、绿色建筑等核心业务领域,为建筑供应链大模型训练提供高效高质量的数据支撑。数据集共计10万条标注样本,全面覆盖建筑行业核心业务语义与AI任务需求,具备高结构性、高标签精度与强行业适配能力[1]。2025年1月,该数据集顺利通过人工智能数据集质量4级评估,成为建筑行业央企首个通过人工智能数据集最高评级的高质量数据集[2]。

在数据治理层面,云筑建立了严格的数据标注规范与质量管控流程。从原始数据清洗、标注任务分发、标注质量抽检到最终数据验收,形成完整的闭环质控体系。标注团队由行业专家与AI技术人员共同组成,确保标注结果既符合业务逻辑又满足模型训练要求。数据集涵盖建材品类标签、供应商资质标签、工程业绩标签、绿色建筑属性标签等多维度信息,为各类AI应用提供了丰富的训练素材。

值得一提的是,云筑的产业数据底座不止于供应链一侧。云筑承接住建部“全国建筑工人管理服务信息平台”建设运营,早在2018年平台上线后即纳入超2900万名建筑工人、28.4万个项目,建筑工人实名制数据同样成为行业级数据资产的重要组成部分[5]。经过近两年探索,云筑已逐步形成“数据—平台—场景—模型”四位一体的AI实践路径,依托十余年积累的海量数据优势,通过清洗、标注、增强等数据处理手段持续完善数据集建设[6]。

AI工具矩阵走进真实业务场景

高质量数据集直接驱动了多项核心工具的智能化升级。在智能寻源领域,云筑寻源平台结合大数据与AI技术,实现了百万级供应商毫秒级别的精准匹配,大幅降低采方寻源成本[7]。云筑借助大模型技术,对超过110万家供应商的1000余个特征标签进行深度挖掘与系统梳理,仅需5分钟即可迅速掌握一家供应商的相关情况,寻源匹配准确率高达74%,供应商入库后的投标成功率提升52%[6]。云筑寻源平台上线运营9个月以来,采供双方每日活跃用户数超过1万,入驻行业采方超过200家,累计寻源需求数突破4万,响应供应商超过8万家[8]。云筑寻源大模型也成功通过科技成果评价,被认定达到国际先进水平。

智能询价方面,云筑AI通过大模型技术构建智能询价系统,解决传统采购中价格数据收集成本高、准确性低、更新维护难等痛点。该系统覆盖3000种商品价格,聚合多供方报价,提升查价效率6倍,并实现价格数据的标准化管理。在此基础上,云筑用AI智能识别真实成交价,构建覆盖超过30万个标准商品的行业价格库,推广单位超过90家,累计查询超过50万次,让报价更透明、更合理[6]

标书自检是云筑AI工具中商业化最为成熟的场景之一。云筑标书智检系统融合OCR、NLP以及大模型能力,能够快速解析招标文件核心要求,检查投标书是否满足,准确率达到90%以上,相当于为每一份标书进行“全面体检”,有效规避因人为疏忽而产生的废标风险[6]。中建集团官网信息显示,标书自检工具已商业化落地,超6万+供应商抢先体验,生成近22万份专业检测报告[2]。云筑官网同步展示的“云智检”产品数据显示,其5大智能检测功能可降低90%废标风险,已检测标书超12.8万份,帮用户规避风险超5.6万次,服务企业超1万家。

此外,资审自检工具可在1分钟内完成资质核查、风险预警等,并生成智能报告,已服务6万余家企业,其自动化资审校验、风险预警与分析、数据驱动推荐、供应商自检报告四大核心能力,还整合了DeepSeek超强数据处理和深度推理优势[9];标书智写工具累计7700余家分供商使用。在采购端,“云筑智慧采购”项目聚焦采购全流程打造智能化能力,覆盖自动文件生成、智能资审、智能清标、智能评审、AI合规检测等关键节点,通过自动化、智能化、风险前置化的递进升级,构建了全链路智能化采购体系,荣获2025年工程建设行业供应链创新应用成果特等成果[10]。

在AI基础设施层面,云筑自主研发的“采购文本生成算法”于2025年5月正式通过国家互联网信息办公室第十一批深度合成服务算法备案,标志着云筑AI大模型迈入新阶段[7]。2025年,云筑沉淀出首个建筑供应链专业大模型,成为中建集团“建证大模型”的重要组成部分,该模型在8大方向上显著优于通用大模型,推理耗时仅为通用大模型的10%,模型准确率达到89%。云筑自主搭建的智能体开发平台“云筑万象”2025年新增435个智能体,其中70%开发者是非算法人员,目前已有近70个供应链场景被AI能力覆盖[6]。

从数字供应链到产业互联网生态

数据集与AI应用的背后,是云筑日益壮大的产业互联网生态。云筑深耕数字供应链服务,构建“寻源-采购-履约”智能闭环,覆盖寻源匹配、阳光采购、商城运营、数字科技支撑的全链条数字化服务矩阵[4],提供寻源招标、采购商城、供应链数字科技、智慧物流等在内的全供应链数字化服务[11]。

规模数据最能说明生态的成长速度。2025年4月,云筑累计履约额已超9万亿元[12];到2025年11月,累计履约额突破10万亿元,覆盖100万+优质供应商[11]。平台年交易额超1万亿元[4],2026年云顶大会披露的数据显示已超1.2万亿元[13]。云筑集采是中建集采平台的全新升级,通过打造线上阳光集采、线下区域联采的“互联网+”集中采购新模式,为全行业提供专业的集中采购服务;云筑商城则依托中国建筑海量采购资源和优质分供商资源,实现在线交易、结算与支付,大幅提高采购效率、降低采购成本。

在商城领域,云筑商城平台SKU超360万,累计销售额在建筑央企MRO领域排名第一,依托标准商城、SaaS商城等多元采购方式对接物资源头,实现“当日下单、次日到货”高效履约;收验货系统累计应用超过1.6万个建设项目[4]。在供应链金融领域,云筑联接金融机构、保险公司与供应商,信融宝累计放款超200亿元,提供超1000亿元反向保理服务[14];中国建筑供应链金融服务平台以智能风控为核心,在业务全流程的44个关键节点实现全自动风险稽查,并通过合同流、货物流、资金流、发票流和信息流“五流一致”,以及统一平台、统一资产池、统一操作和统一风控的“四个统一机制”确保业务合规高效[8]。

绿色低碳与国际化布局同步提速。云筑从“定义绿、评价绿、采购绿、追踪绿”四个维度打造“云筑绿色建材商城”,累计入驻超8400家绿色供应商,覆盖近4300个绿色产品,实现全周期绿色采购与溯源[4][15]。2026年3月,云筑海外寻源平台重磅上线,可提供泰国、马来西亚、印度尼西亚3个国家共超2000家属地分供商资源,以及超10000家具备海外业绩的国内出海分供商资源,汇聚全球超500个真实在建项目信息,通过AI算法为分供商实时推送高度匹配的海外商机[16]。

凭借专业服务能力与深厚行业积淀,云筑已获评国家级高新技术企业,累计拥有220多项发明专利和软件著作权,通过全球软件成熟度最高等级CMMI5V3.0认证,并获评国际权威检测机构IDC“中国供应链运营转型领导者”。2025年11月,云筑入选国务院国资委“中央企业品牌引领行动”第二批创建成果(服务品牌)[4]。2026年9月,2026云顶大会在深圳举办,披露云筑AI智能体服务案例已超百项,数据资产正成为建筑产业新的价值锚点[13]。

面向未来,云筑将重点围绕“夯实技术、场景落地、行业赋能”三大方向,着重完成通用模型应用、高质量数据管理、专业模型训练、智能体开发四项关键技术能力升级,重点建设智能招标、智能投标、智能开评标、智能定标、智能监管五大核心场景,构建建筑行业“供应链大脑”[6]。中建集团也将持续发挥全产业链优势,依托优势特色业务领域海量数据,持续打造高质量数据集,推动构建更丰富的行业级高质量数据资产体系,支撑产业人工智能应用快速发展,推动建筑行业智能化转型升级[2]。

信息来源

[1] 国家数据局官网:《高质量数据集典型案例 | 建筑行业供应链高质量数据集》,https://www.nda.gov.cn/sjj/ywpd/szkjyjcss/0925/20250925162020612193187_pc.html

[2] 中建集团官网:《中建集团“建筑行业供应链高质量数据集”入选国家高质量数据集典型案例》,https://www.cscec.com.cn/zgjz_new/xwzx_new/gsyw_new/202509/3902767.html

[3] 中建集团官网:《“建筑行业供应链高质量数据集”入选国务院国资委首批央企人工智能高质量数据集优秀建设成果》,http://www.cscec.com.cn/xwzx_new/zqydt_new/202505/3875762.html

[4] 国务院国资委官网:《云筑:助推建筑行业数字化》,http://www.sasac.gov.cn/n4470048/n35313464/n35373956/n35373978/c35378697/content.html

[5] 住房和城乡建设部全国建筑工人管理服务信息平台官网:《项目现场端(由住建部委托中建电子商务有限责任公司开发)》,https://jzgr.mohurd.gov.cn/Download

[6] 清华大学互联网产业研究院:《陶锋:云筑AI从数字供应链迈向智慧供应链》,https://www.iii.tsinghua.edu.cn/info/1242/5267.htm

[7] 中国建筑发展官网:《推动人工智能与建筑供应链深度融合,云筑AI大模型通过国家网信办备案》,https://cscdc.cscec.com/xwzx/gsxw/202506/3879081.html

[8] 中国建筑发展官网:《数字赋能供应链新生态 | 中建发展荣誉+2!》,https://cscdc.cscec.com/xwzx/gsxw/202511/3916965.html

[9] 中国建筑发展官网:《中建发展:以AI重构产业价值,擘画“质”变新境》,https://cscdc.cscec.com/xwzx/gsxw/202508/3898239.html

[10] 中国建筑发展官网:《“云筑智慧采购”荣获2025年工程建设行业供应链创新应用成果特等成果》,https://cscdc.cscec.com/xwzx/gsxw/202605/3942694.html

[11] 中国建筑发展官网:《中建电商(云筑)亮相第二十二届中国住博会》,https://cscdc.cscec.com/xwzx/gsxw/202511/3913025.html

[12] 中国建筑发展官网:《数字供应链平台:构建供应链新生态,降本增效释放发展动能》,https://cscdc.cscec.com/xwzx/gsxw/202504/3869349.html

[13] 界面新闻:《年交易额超1.2万亿,云筑给出“穿越周期”的商业答案》,https://m.jiemian.com/article/15071549.html

[14] 中国科技网:《2025云顶大会在四川成都举行》,http://www.stdaily.com/web/gdxw/2025-08/22/content_389157.html

[15] 中建集团官网:《中建发展绿色低碳供应链解决方案获国际权威认可》,http://www.cscec.com.cn/zgjz_new/xwzx_new/zqydt_new/202511/3916872.html

[16] 中建集团官网:《中建电商云筑海外寻源平台重磅上线》,http://www.cscec.com.cn/xwzx_new/zqydt_new/202603/3934748.html

亿邦智库持续关注央国企数字化采购领域的最新进展,如想了解更多与本文相关信息,请扫码关注作者微信或发送邮箱。联系邮箱:zhangjing@ebrun.com

作为TO B领域年度风向标,“2026第八届亿邦产业互联网年会暨首届产业智能体大会”将于11月20日在北京召开。主题定为“AI与出海带来的模态进化”,聚焦产业智能体落地、AI供应链价值重构、数据要素与TOKEN经济、产业出海新生态等前沿议题深度思辨。大会将集结学界权威、央国企标杆、产业龙头、投资机构、服务生态伙伴,汇聚产业核心力量、拆解产业数智化转型路径、分享前沿实战经验。同期还将发布年度产业互联网报告及标杆案例,举办决策人闭门会、“千峰奖”颁奖盛典。

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FAQ回顾

云筑是什么?它是做什么的?

云筑是中国建筑倾力打造的建筑产业互联网标杆服务平台,由中建发展所属中建电商运营。它深耕建筑行业数字供应链,提供寻源招标、采购商城、供应链数字科技、智慧物流等全供应链数字化服务,已服务全国超110万家建筑供应商,累计履约额突破10万亿元。

建筑行业供应链高质量数据集是什么?有什么价值?

该数据集是云筑整合平台2.2PB海量数据打造的建筑行业专属AI训练数据集,含10万条标注样本,覆盖供应商、建材、工程业绩、绿色建筑等七大业务板块,标注准确率超90%。它于2025年1月通过人工智能数据集质量4级评估,并入选国家数据局高质量数据集典型案例,为建筑供应链大模型训练提供数据支撑。

建筑企业采购中如何利用AI智能寻源?

云筑寻源平台结合大数据与AI技术,对超110万家供应商的1000余个特征标签进行深度挖掘,实现百万级供应商毫秒级精准匹配。该平台寻源匹配准确率达74%,供应商入库后投标成功率提升52%,目前入驻行业采方超200家,累计寻源需求突破4万,已通过科技成果评价达到国际先进水平。

AI工具如何帮助建筑企业降低投标废标风险?

云筑标书智检系统融合OCR、NLP及大模型能力,可快速解析招标文件核心要求并检查投标书满足度,准确率达90%以上,能有效规避人为疏忽导致的废标风险。该系统已商业化落地,累计服务超6万家供应商,生成近22万份专业检测报告,可降低90%废标风险。

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