生产性服务业站上C位齐心AI+如何让采购变成价值引擎？

施玮 2026-09-08 16:18

施玮 2026/09/08 16:18

邦小白快读

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本文核心信息为政策红利下生产性服务业成为万亿级新蓝海，齐心集团通过AI重构采购供应链，完成从传统贸易到高端生产性服务的升级，核心干货如下

1. 政策层面，国务院明确到2030年我国服务业总规模要迈上100万亿元台阶，“十五五”期间服务业有20万亿元增长空间，生产性服务业是政策主攻方向，我国生产性服务业占GDP比重比发达国家低10-20个百分点，增长空间充足，数智化转型是核心推进方向

2. 企业实践层面，齐心集团推出的齐心智磐AI大模型已经在100多个采购场景落地，80%商品审核由AI完成，准确率达97.5%，90%对账工作自动化，验收效率从6小时压缩至10分钟，有效解决了传统采购成本高、效率低、合规风险大的痛点

3. 当前齐心集团已经拓展出MRO工业品、自有品牌、数字化福利SaaS等新增长曲线，业务结构持续优化，是生产性服务业升级的典型样本

本文可为品牌商把握行业趋势、推进业务升级提供参考，核心干货如下

1. 行业趋势方面，国家政策明确支持生产性服务业发展，数智化采购、AI赋能企业服务已经成为明确方向，大型央国企等B端客户存在旺盛的采购智能化、合规化升级需求，ToB品牌拥有充足的市场增长空间

2. 产品研发方面，齐心集团自有品牌融合设计赋能与IP运营，多款产品获得国际设计大奖，覆盖五大消费场景，打通线上线下海内外全渠道，同时和B2B集采业务形成协同，这种模式值得各类品牌参考

3. 业务拓展方面，齐心从办公用品逐步切入MRO工业品赛道，聚焦能源电力、轨道交通等多个垂直行业场景，打造了第二增长曲线，这种深耕垂直场景、逐步延伸价值链的升级路径，对品牌商拓展新业务有较高参考价值

本文可为卖家解读最新政策、挖掘增长机会提供清晰参考，核心干货如下

1. 政策层面，国务院2026年出台《关于推进服务业扩能提质的意见》，明确将生产性服务业作为“十五五”服务业增长的主攻方向，清理了服务业领域资质认定、招投标等方面的准入壁垒，重点扶持数智供应链、AI+服务业发展，政策红利明确

2. 市场机会方面，当前我国生产性服务业占GDP比重为34.4%，对比发达国家40%-50%的占比还有10-20个百分点的增长空间，是万亿级新蓝海，大型央国企采购智能化升级需求迫切，AI赋能采购服务是明确的增量市场

3. 可学习经验方面，齐心集团依托AI重构采购全链路，打破了传统服务人力随规模线性增长的瓶颈，沉淀行业知识打造垂直大模型，拓展垂直场景业务优化营收结构，这种升级路径对想要切入ToB服务市场的卖家有很高借鉴价值

本文可为制造工厂把握商业机会、推进数字化转型提供参考，核心干货如下

1. 行业背景层面，当前我国制造业存在大而不强的问题，核心原因之一是生产性服务投入占比偏低，国家已经出台政策明确用中国服务支撑中国制造，工厂可以对接专业生产性服务商，借力其能力提升自身生产运营效率

2. 商业机会层面，政策明确支持在工业领域发展集中采购、一体化服务，工厂可以对接齐心这类服务超60家央企、8万家优质企业的大型数智化采购平台，进入大型央国企供应链体系，拓展自身销售渠道，获得更多增长机会

3. 数字化转型启示层面，齐心集团针对制造工厂推出了设备管理系统与AI设备管家，能够帮助工厂运维从传统经验驱动转向数据驱动，工厂可以参考该模式推进自身生产运维环节的智能化升级，降低运维成本，提升生产效率

本文清晰梳理了生产性服务业的发展趋势，明确了客户痛点和成熟解决方案，核心干货如下

1. 行业发展趋势方面，生产性服务业已经成为国家战略层面的核心发展方向，到2030年拥有近20万亿的增长空间，数智化、AI化是核心升级方向，未来行业主流模式将从传统人力密集服务转向模型即服务、智能体即服务，发展前景广阔

2. 核心客户痛点方面，大型企业尤其是央国企采购服务，核心痛点是合规要求高、审批链条长、订单分散，传统人力服务存在成本高、易出错、效率低、合规风险大的问题，这些痛点都是服务商的核心业务机会

3. 解决方案参考方面，齐心已经跑通AI改造采购全链路的落地方案，沉淀行业知识训练垂直大模型，AI覆盖商品审核、对账结算、履约验收全环节，有效解决客户痛点，这种落地路径可供各类生产性服务商参考借鉴

本文明确了生产性服务领域企业客户的核心需求，以及平台升级的方向，核心干货如下

1. 市场需求方面，当前B端客户对生产性服务平台的核心需求是实现采购全流程的数智化、智能化，要求服务满足严格的合规要求，实现降本增效，同时需要针对不同垂直行业的定制化解决方案，平台需要围绕这些需求优化自身服务能力

2. 运营升级参考方面，齐心作为ToB采购服务平台，将沉淀三十余年的行业知识转化为垂直AI大模型，落地到采购全链路各个场景，有效压平边际成本，同时拓展MRO、自有品牌、福利SaaS等多元业务，优化营收结构，打造完整服务生态，这种运营模式可供同类平台参考

3. 风险规避方面，传统ToB服务平台依赖人力扩张，人力投入随业务规模线性增长，存在难以突破的效率和成本瓶颈，平台需要尽早推进AI智能化改造，打破增长约束，避免陷入人力成本过高的发展困境

本文呈现了我国生产性服务业的最新发展动向，提供了AI赋能生产性服务的典型研究样本，核心干货如下

1. 产业新动向方面，当前生产性服务业已经上升为国家战略层面支撑中国制造升级的核心抓手，“十五五”期间将迎来20万亿元的增长空间，AI+生产性服务业是明确的核心发展方向，我国生产性服务业还有较大增长空间，正处于快速发展兑现期

2. 产业核心问题方面，传统生产性服务业属于人力密集型产业，业务规模扩张依赖人力的等比例投入，始终存在效率、准确率、成本的不可能三角，难以满足大型B端客户的合规高效需求，这是当前行业发展需要解决的核心问题

3. 创新商业模式方面，齐心集团探索出“垂直行业大模型+生产性采购服务”的创新商业模式，将积累三十年的行业知识转化为可复用的AI服务能力，打破人力增长瓶颈，推动产业从降本增效走向价值创造，为产业研究提供了鲜活的新样本

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Quick Summary

This article outlines that under policy dividends, producer services have become a new trillion-dollar blue ocean market. Comix Group has restructured its procurement supply chain with AI, and completed its transformation from traditional trading to high-end producer services. Key takeaways are as follows:

1. On the policy front: The State Council has set a clear target that China's total service sector scale will reach 100 trillion yuan by 2030, with 20 trillion yuan of growth space during the 15th Five-Year Plan period. Producer services are the policy focus. Currently, the share of producer services in China's GDP is 10 to 20 percentage points lower than that of developed economies, leaving sufficient room for growth. Digital and intelligent transformation is the core direction of advancement.

2. On corporate practice: Comix Group's Zhipan AI large model has been deployed in over 100 procurement scenarios. Currently, 80% of product reviews are completed by AI with 97.5% accuracy, 90% of reconciliation work is automated, and acceptance efficiency has been reduced from 6 hours to 10 minutes. This effectively solves the pain points of traditional procurement: high costs, low efficiency and high compliance risks.

3. Comix Group has already developed new growth curves including MRO industrial products, private labels and digital welfare SaaS, with continuous optimization of its business structure. It is a representative case of producer services upgrading.

This article provides valuable reference for brands to grasp industry trends and advance business upgrading. Key takeaways are as follows:

1. Industry trends: National policies clearly support the development of producer services, and digital intelligent procurement and AI-enabled enterprise services have become clear development directions. Large B-end clients including central state-owned enterprises have strong demand for intelligent and compliant procurement upgrading, leaving sufficient market growth space for ToB brands.

2. Product development: Comix's private brand integrates design empowerment and IP operation, with multiple products winning international design awards. It covers five major consumption scenarios, connects full online-offline and cross-border channels, and forms synergy with Comix's B2B centralized procurement business. This model provides a valuable reference for all types of brands.

3. Business expansion: Comix expanded gradually from office supplies to the MRO industrial product track, focused on vertical industry scenarios including energy and power and rail transit, and built its second growth curve. This upgrading path of深耕ing vertical scenarios and gradually extending the value chain is highly valuable reference for brands expanding new businesses.

This article provides a clear reference for sellers to interpret the latest policies and explore growth opportunities. Key takeaways are as follows:

1. Policy background: In 2026, the State Council issued the *Opinions on Promoting Capacity Expansion and Quality Improvement of the Service Industry*, which clearly defines producer services as the main focus of service industry growth during the 15th Five-Year Plan period, removes entry barriers in qualification accreditation and public bidding for the service sector, and prioritizes support for the development of digital intelligent supply chains and AI+services. Policy dividends are clear.

2. Market opportunities: Currently, producer services account for 34.4% of China's GDP, compared with 40% to 50% in developed economies, leaving 10 to 20 percentage points of growth space. This is a new trillion-dollar blue ocean market. Large central state-owned enterprises have urgent demand for intelligent procurement upgrading, and AI-enabled procurement services are a clear incremental market.

3. Learnable experience: Comix restructured the entire procurement chain relying on AI, broke the bottleneck of traditional services where labor grows linearly with business scale, built a vertical large model by沉淀ing industry knowledge, and expanded vertical scenario business to optimize its revenue structure. This upgrading path is highly valuable reference for sellers looking to enter the ToB service market.

This article provides reference for manufacturing factories to grasp business opportunities and advance digital transformation. Key takeaways are as follows:

1. Industry background: China's manufacturing industry is large but not strong enough, and one of the core reasons is the low proportion of producer service input. The state has introduced policies to clearly support China's manufacturing sector with high-quality producer services. Factories can partner with professional producer service providers to leverage their capabilities to improve production and operation efficiency.

2. Business opportunities: Policies explicitly support the development of centralized procurement and integrated services in the industrial sector. Factories can partner with large digital procurement platforms like Comix, which serves over 60 central enterprises and 80,000 high-quality enterprises, to enter the supply chain system of large central state-owned enterprises, expand their own sales channels and access more growth opportunities.

3. Insights for digital transformation: Comix has launched an equipment management system and AI equipment manager for manufacturing factories, which helps factories shift from traditional experience-driven operation and maintenance to data-driven operation and maintenance. Factories can refer to this model to advance intelligent upgrading of their production and operation links, reduce operation and maintenance costs and improve production efficiency.

This article clearly sorts out development trends of the producer service industry, defines client pain points and provides mature solutions. Key takeaways are as follows:

1. Industry development trends: Producer services have become a core development direction at the national strategic level, with nearly 20 trillion yuan of growth space by 2030. Digitalization and AI-enabled upgrading are the core directions. In the future, the mainstream industry model will shift from traditional labor-intensive services to "model-as-a-service" and "agent-as-a-service", with broad development prospects.

2. Core client pain points: For procurement services for large enterprises, especially central state-owned enterprises, the core pain points are high compliance requirements, long approval chains and fragmented orders. Traditional labor-based services face problems of high costs, error proneness, low efficiency and high compliance risks. All these pain points represent core business opportunities for service providers.

3. Solution reference: Comix has already delivered a proven full-link AI transformation solution for procurement, and built its vertical large model by沉淀ing industry knowledge. AI now covers the whole process of product review, reconciliation and settlement, and delivery acceptance, effectively solving client pain points. This implementation path can be referenced by various producer service providers.

This article clarifies the core demands of enterprise clients in the producer service field, and the direction for platform upgrading. Key takeaways are as follows:

1. Market demand: Currently, B-end clients' core demands for producer service platforms are to realize digitalization and intelligentization of the whole procurement process, meet strict compliance requirements, achieve cost reduction and efficiency improvement, and access customized solutions for different vertical industries. Platforms need to optimize their service capabilities around these demands.

2. Reference for operation upgrading: As a ToB procurement service platform, Comix converted more than 30 years of accumulated industry knowledge into a vertical AI large model, and deployed it in all scenarios of the full procurement chain, effectively lowering marginal costs. It also expanded diversified businesses including MRO, private labels and welfare SaaS to optimize its revenue structure and build a complete service ecosystem. This operation model can be referenced by similar platforms.

3. Risk prevention: Traditional ToB service platforms rely on labor expansion, where labor input grows linearly with business scale, leading to insurmountable bottlenecks in efficiency and costs. Platforms need to promote AI intelligent transformation as early as possible to break growth constraints and avoid falling into the development dilemma of excessively high labor costs.

This article presents the latest development trends of China's producer service industry, and provides a typical research sample of AI-enabled producer services. Key takeaways are as follows:

1. New industry trends: Producer services have now become a core strategic pillar to support the upgrading of China's manufacturing at the national level, and will see 20 trillion yuan of growth space during the 15th Five-Year Plan period. AI+producer services is the clear core development direction. China's producer service industry still has large growth room and is in a period of rapid development.

2. Core industrial problems: Traditional producer services are labor-intensive, and business expansion requires proportional increase in labor input. The industry has long faced an "impossible triangle" of efficiency, accuracy and cost, making it difficult to meet the compliance and efficiency demands of large B-end clients. This is the core problem to be solved for the industry's current development.

3. Innovative business model: Comix Group has explored an innovative business model of "vertical industry large model + producer procurement service", converting 30 years of accumulated industry knowledge into reusable AI service capabilities, breaking the bottleneck of labor growth, and pushing the industry from cost reduction and efficiency improvement to value creation. It provides a fresh new sample for industrial research.

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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摆脱大而不强焦虑，离不开生产性服务

【亿邦原创】在全球经济博弈新周期，连续16年位居全球第一的中国制造业，面临着大而不强的挑战。

根据中国信通院测算，中国生产性服务投入占制造业中间投入的比重约14%，而世界主要制造强国均超过20%，如德国为31.6%，日本是23.6%。

生产性服务投入差距，是制造业大而不强的关键。在制造业效率提升、价值创造能力升级中，生产性服务发挥着资源集聚、要素赋能的重要推动作用。

2026年4月，国务院印发《关于推进服务业扩能提质的意见》（以下简称《意见》），从顶层政策提出用中国服务，支撑中国制造。生产性服务由此站上C位，承担起支撑制造业升级的功能定位。

以齐心集团（002301.SZ）为代表，服务央国企十几年，深度布局AI重构采购供应链，从贸易服务向高端生产性服务演进，成为央国企采购智能化转型越来越重要的支撑。

01 万亿新蓝海：生产性服务业站上C位

生产性服务面向企业生产经营活动，贯穿产业链全过程，包括研发设计、工业软件、检验检测、供应链管理、品牌营销等。为工业生产的连续性、技术进步和效率提升提供保障。

其特点是专业性强、融合度高、带动力大，是提升全要素生产率（TFP）和工业现代化水平的重要支撑。

《意见》明确提出，到2030年服务业总规模要迈上100万亿元台阶。国家统计局数据显示，2025年中国服务业总规模为80.9万亿元，对经济增长的贡献率达61.4%。其中，生产性服务业增加值为48.2万亿元，占GDP比重34.4%。

从80万亿元到100万亿元，意味着“十五五”期间服务业将迎来20万亿元增长空间，生产性服务为政策明确的主攻方向。

对比发达国家生产性服务占GDP比重普遍为40%—50%，中国生产性服务还有10—20个百分点差距。政策牵引叠加市场空间，这个万亿级别的新蓝海正在进入兑现期。

根据《意见》，全链条补强生产性服务业薄弱环节，将重点围绕科技服务、信息软件服务、现代物流、商务服务等6大领域17个环节。如在工业消费品领域探索集中采购、仓储配送等一体化服务。开展人工智能+软件专项行动，培育模型即服务、智能体即服务等相关新业态。

服务业数智化转型是重点推进的方向。《意见》明确提出加快实施数智供应链发展专项行动，推进商贸物流数智赋能工程。培育数智化转型服务商，打造数据、算法、场景协同应用标杆。

同时，《意见》明确清理服务业领域不合理标准和限制性措施，消除要素获取、资质认定、招标投标、政府采购等方面壁垒。

已服务超60家央企、8万家优质企业采购的齐心集团，是典型的生产性服务企业，为大型央国企提供办公用品、工业品、营销物资及员工福利一站式数智化采购综合服务，为企业采购降本增效、合规透明提供保障。

从传统物资采购服务进化到数字化采购平台，齐心集团是生产性服务迭代发展的一个典型样本。AI时代，以AI大模型为核心生产力，齐心集团积极实践数智化改造，抓住了生产性服务跨越式发展的政策和市场红利。

2026年上半年，齐心集团实现营收48.12亿元，归母净利润7677.39万元，经营活动产生的现金流量净额达1.67亿元。收入稳健的同时，齐心集团持续推动业务结构向MRO、自有品牌等高毛利方向优化，落地AI相关生产力建设，夯实中长期发展基础。

02 齐心AI+生产力：从人力密集型走向算法驱动

生产性服务的特征是知识密集型，投入人力资本和知识资本，产出专业解决方案。

如企业采购服务，涉及供应链方案设计、供应商评估体系、合规风控、数据分析决策等，均需懂行业Know-how的专业人士。

当AI大幅降低专业知识获取与应用成本，企业采购服务也从人力密集型，走向数据算法驱动的智能新阶段。

以齐心集团为例，自2025年初推出行业垂直大模型齐心智磐AI大模型，已在100多个场景落地应用，覆盖数字化采购全流程环节，实现主线业务全面数智化。通过将过往沉淀在其采购系统的高质量专业知识、数据，喂养大模型，齐心集团把AI从辅助工具升级成了核心生产力。

传统企业采购服务，需要人对接需求、比价、审核、跟单、验收及结算，人力投入与业务规模呈线性关系，效率瓶颈突出。

尤其央国企等大型企业，合规要求高，审批链条长，订单履约往往全国分散。全靠堆人头来解决，成本高，信息对接密集易出错，采购周期长效率低，合规风险大。

齐心集团的AI生产力，带来了可量化的采购效率提升。

如商品上架审核，AI可以快速识别商品参数，判断准确性、合规性等多个维度，以及是否为同款，是否为主流品牌，价格是否合理。齐心智磐AI已实现了80%以上审核工作交由AI完成，准确率可达97.5%。2026年上半年，其商品自动审核量环比大幅提升了268%。

履约结算环节，齐心智磐AI完成了90%以上对账工作，可以自动对比订单、发票、收货单等多维度、多对多的数据匹配。其月均自动化履约订单已超10万单，自动化占比达83%，实现规模订单自动化运营。

针对央国企采购最关心的履约验收诸多挑战，如货不对板、买多发少、验收标准及流程规范问题等，齐心智磐AI依托多模态AI技术创新的智眼验收，通过OCR/视觉特征抽取，包装、地址、实物、气象多维一致性校验，及供应商、商品、客户标准融合判定，真正实现了规模化集采可信交付验收。

其智眼验收解决方案，已核验单据80万份，日均核验单量4000+。将传统人工验收升级为自动核验后，效率从200单约6小时压缩至10分钟，货单识别准确率达98%，有效提升客户采购收货环节的合规性。

AI接管采购链路中原本高度依赖人力的环节，打破了传统企业采购效率、准确率、成本的不可能三角。边际成本曲线被算法压平，规模扩张由此不再依赖人力的等比例投入。

更关键的是模式层面的升级。齐心集团将三十余年沉淀的行业知识，在AI时代升级为模型即服务、智能体即服务，实现了生产力跃迁，摆脱了传统服务业人力密集型瓶颈。企业采购由此从数字化进入算法驱动的智能化阶段，服务成本结构和价值得以重构。

03 价值链攀升：从降本增效到价值创造

生产性服务是拉动产业转型升级的动力，其本身也需要向专业化和价值链高端延伸。

专业化需要做精做深，走向精细化服务。如齐心集团从办公用品向MRO工业品深入，聚焦能源电力、轨道交通、石油化工、汽车电子等多个垂直行业场景，提供定制化专业场景服务解决方案。

截至目前，齐心MRO业务构建了超百万工业品商品数据库，形成全面多元的国内外品牌商品矩阵，服务国家电网、南方电网等大型企业。2026年，又新增了中广核、大唐集团，MRO工业品服务已成为其第二增长曲线。

向价值链高端延伸则要求生产性服务向研发、设计、品牌、营销、技术服务等高价值环节延伸。以齐心集团为代表，提供的不仅仅是物资采购，更是品牌、技术赋能、数据支持与生态共建。

齐心集团的自有品牌业务，作为中长期发展基石，充分发挥设计和文化赋能，与企业采购业务形成了协同联动。其自研的Compera大小手正姿笔、V'mo指纹锁保温杯，分别斩获了IAI国际设计奖和美国MUSE设计奖两大权威奖项。齐心文创与吾皇猫、山海经、孔子爷爷等IP深度合作，推动了传统文化IP产品的品牌化与年轻化。

2025年，齐心集团自有品牌业务已覆盖企业办公、党政办公、智能办公、家庭生活、学生学习五大场景。除B2B集采渠道，已实现京东、天猫、拼多多等线上渠道，经销商、商超、专业渠道等国内线下渠道，及海外100多个国家和地区覆盖。

面向企业内部员工福利管理，齐心集团打造的数字化福利SaaS商城系统，涵盖精准采购、智能审批、费用预算管控等模块。通过深度整合供应链资源与AI技术，满足了企业客户工会福利、餐卡余额转换、乡村振兴、权益兑换、SaaS商城、小劳保兑换等多场景数字化福利需求。简化企业员工福利管理流程的同时，提高了管理效率和福利丰富度，提升了员工满意度。

此外，齐心集团为企业品牌宣传、活动执行、用户运营等营销环节和场景，提供丰富多元的定制化营销物料，帮助客户提升用户活跃度和黏度，为企业营销赋能。

针对制造端工厂，齐心集团上线了设备管理系统与AI设备管家，推动工厂运维由经验驱动向数据驱动转变。

过去三十余年，齐心集团用数智化能力搭建了一个服务大型央国企采购的品牌、经销商、技术服务、IP、物流及仓储履约生态系统，技术是其整个生态高效运转的底座，AI则是其打破生产性服务增长约束的新生产力。

如果说数字化解决的是降本增效，AI生产力指向的则是价值创造。

▎亿邦智库观察：生产性服务的价值重估

从人驱动流程到数据驱动生态，变化的不只是效率曲线，还有生产性服务的价值锚点。当算法成为新生产力，央国企的采购就不再只是成本部门，而是提升全要素生产率，支撑新质生产力发展的贡献者。

齐心集团的实践证明，三十余年积累的行业Know-how，由AI转化为可复用、可输出的服务能力，在为客户提供合规采购、降本增效基础上，正在向专业化深度服务与价值链高端持续演进。

亿邦持续追踪报道该情报，如想了解更多与本文相关信息，请扫码关注作者微信。

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文章来源：亿邦动力

FAQ回顾

生产性服务业是什么？对制造业发展有什么作用？

生产性服务业面向企业生产经营活动，贯穿产业链全流程，涵盖研发设计、工业软件、供应链管理等领域，专业性强、融合度高、带动力大，可保障工业生产连续性、推动技术进步和效率提升，是支撑制造业升级、提升全要素生产率的重要力量。

我国生产性服务业当前的发展空间有多大？

2025年我国生产性服务业增加值为48.2万亿元，占GDP比重34.4%，对比发达国家40%-50%的占比还有10-20个百分点的差距，叠加政策牵引，“十五五”期间还有万亿级别的增长空间，发展前景广阔。

企业采购智能化转型能获得哪些实际效益？

引入AI数智采购方案可大幅提升采购效率、降低成本、保障合规，比如齐心智磐AI可完成80%以上采购审核工作，准确率达97.5%，履约结算自动化占比达83%，智眼验收效率较人工提升超35倍，货单识别准确率达98%。

齐心集团的生产性服务布局有哪些核心优势？

齐心集团深耕央国企采购服务十余年，已服务超60家央企、8万家优质企业，推出的齐心智磐AI大模型已覆盖采购全流程100多个场景，同时布局MRO工业品、自有品牌、数字化福利SaaS等业务，可提供全链路数智采购综合服务。

生产性服务业站上C位 齐心AI+如何让采购变成价值引擎？

01

万亿新蓝海：生产性服务业站上C位

02

齐心AI+生产力：从人力密集型走向算法驱动

03

价值链攀升：从降本增效到价值创造

FAQ回顾

生产性服务业站上C位齐心AI+如何让采购变成价值引擎？