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阳采集团全面接入DeepSeek,实现AI+采购双轮架构,驱动供应链数智化跃迁

龚作仁 2025-02-17 11:33
龚作仁 2025/02/17 11:33

邦小白快读

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本文核心介绍阳采集团全面接入DeepSeek大模型,打造AI+采购双轮架构,驱动供应链数智化转型的实践成果,核心干货整理如下:

1.核心成果:2025年开年以来阳采日均订单突破1.5万单,覆盖能源、交通、制造等十大核心领域,中标焦煤集团、华新燃气等多个大型国企项目,客户规模和业务增速均创历史新高,接入AI后客户采购周期平均缩短30%。

2.技术落地效果:接入DeepSeek R1模型后,实现智能需求预测、智能寻源、流程自动化管理三大能力,分别实现采购成本降15%、供应商匹配效率提50%、人力成本省20%,破解了传统采购流程冗长、资源分散、决策滞后三大痛点。

3.未来方向:阳采将继续拓展AI应用场景,目标打造“零人工干预”的智能采购生态,成为央国企采购数字化转型的公共基础设施。

本文为品牌商披露了央国企数字化采购赛道的发展机会与合作方向,核心干货如下:

1.行业趋势:2025年央国企数字化采购转型进入爆发期,市场需求旺盛,头部平台对优质供应品牌的接入需求大,阳采目前已经重整上线超10000家优质供应品牌,为品牌提供“一站式采购+精准匹配”的对接服务。

2.渠道增长机会:阳采覆盖十大核心行业,稳定服务多个大型央国企客户,能帮助品牌精准触达B端高端客户,国内头部家电品牌已经与阳采达成合作,双方目标2025年该品类提货额突破5000万元,验证了该渠道的增长潜力。

3.降本提效支持:依托阳采的AI匹配能力,品牌可减少获客对接成本,借助平台的需求预测能力合理安排备货,降低库存积压风险,提升供应稳定性。

本文为To B卖家梳理了央国企数字化采购赛道的增长机会与可借鉴经验,核心干货如下:

1.赛道机会:2025年央国企数字化转型成为政策和市场双重驱动的增长浪潮,AI采购赛道空间广阔,头部平台阳采目前业务增速创纪录,日均订单破1.5万单,对优质供应商需求旺盛,开放优质品牌接入,卖家可获得稳定的流量和订单支持。

2.可借鉴的运营经验:卖家可以借鉴接入AI大模型优化运营的模式,借助大模型的能力做需求预测、智能寻源和流程自动化,阳采的实践数据显示该模式可降采购成本15%,提匹配效率50%,省人力成本20%,效果显著。

3.合作方向:卖家可入驻阳采的跨域资源池,参与大型央国企项目对接,还有机会和平台共同打造行业标准,拓展自身生意规模,提升行业影响力。

本文为生产型工厂带来了对接央国企市场、推进数字化转型的相关启示与机会,核心干货如下:

1.商业机会:当前央国企数字化采购转型催生大量稳定的B端订单需求,阳采覆盖能源、交通、制造等十大核心领域,已经对接多个大型国企项目,日均订单破1.5万单,目前整合了超10000家优质供应品牌,优质工厂可入驻平台资源池,获得稳定的大型客户订单。

2.生产端启示:传统工厂依赖经验安排生产,容易出现库存失衡,滞销品占比高达25%,阳采依托DeepSeek R1模型可预判未来3-6个月的市场需求,准确率达92%,工厂可依托这类平台的预测数据调整生产计划,降低库存积压风险。

3.数字化转型启示:工厂可借鉴阳采“成熟大模型+垂直场景”的转型路径,用AI优化订单管理、客户对接环节,满足大型客户的数字化对接要求,提升自身运营效率。

本文为产业数字化服务商梳理了央国企采购赛道的痛点、趋势与可落地解决方案,核心干货如下:

1.核心客户痛点:当前央国企采购数字化转型的核心痛点有三类,一是传统采购流程冗长,招标、审批等环节依赖线下,信息孤岛导致协同成本高;二是资源分散,工业品分类繁杂编码混乱,找货难议价能力弱;三是决策滞后,依赖经验判断,市场波动下容易库存失衡,滞销品占比达25%。

2.行业发展趋势:AI大模型垂直落地到采购供应链场景已经从概念进入商业化落地阶段,阳采接入DeepSeek R1的实践验证了该路线的可行性,AI赋能全链路成为平台的核心竞争力。

3.可参考的解决方案:针对三大痛点可打造“全链路线上化+AI赋能”“整合跨域资源池+智能匹配”“AI需求预测+前置备货”的分层解决方案,该方案可提升决策效率70%,需求预测准确率达92%,已经得到市场验证。

本文为产业采购平台商分享了阳采的数智化转型运营经验,对平台建设、运营、生态打造都有参考价值,核心干货如下:

1.核心用户需求:当前央国企采购平台的核心需求是解决传统采购流程冗长、找货难、决策滞后三大痛点,平台需要围绕痛点打造差异化能力,才能获得客户认可。

2.技术运营经验:平台不需要从零训练大模型,可通过接入成熟的通用大模型DeepSeek R1,快速赋能自身垂直场景,阳采实践显示该模式可实现采购成本降15%,供应稳定性提升至99.5%,供应商匹配效率提50%,技术落地快效果好。

3.生态建设经验:平台要开放整合上游优质供应品牌,打造“地域+行业+需求”三维筛选能力,满足大型客户的个性化需求,定位做行业转型的基础设施,可快速做大平台规模,阳采目前已经整合超10000家优质品牌,覆盖全品类,验证了该模式的有效性。

本文为产业数字化研究者提供了央国企采购转型的最新产业动向与鲜活案例,核心研究素材整理如下:

1.产业新动向:2025年央国企数字化转型进入深化落地阶段,AI大模型垂直赋能供应链采购成为新的产业方向,“AI+采购”双轮驱动的模式已经完成商业化验证,阳采的案例显示该模式可实现显著的降本提效,日均订单破1.5万,业务增速创历史新高。

2.待研究的核心问题:传统央国企采购的流程冗长、资源分散、决策滞后三大痛点,仍然是转型过程中的核心问题,需要学术界和产业界共同探索更高效的解决方案。

3.商业模式创新:阳采打造的“成熟大模型+垂直产业平台+供应链生态服务”的商业模式,通过开放接入整合上下游资源,AI赋能全链路,未来目标打造“零人工干预”的智能采购生态,定位做行业转型的公共基础设施,这种新型开放式平台商业模式值得深入研究,文中披露的大量落地数据也为量化研究提供了支撑。

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Quick Summary

This article summarizes the practical results of Yangcai Group's full integration of the DeepSeek large language model to build an "AI + Procurement" dual-driven architecture and advance the digital and intelligent transformation of supply chains. Key takeaways are as follows:

1. Core outcomes: Since the start of 2025, Yangcai has exceeded 15,000 daily orders, covering 10 core sectors including energy, transportation and manufacturing. It has won bids for multiple large state-owned enterprise (SOE) projects including Jiao Coal Group and Huaxin Gas, with customer scale and business growth hitting all-time highs. AI integration has shortened average customer procurement cycles by 30%.

2. Technology implementation impact: After integrating the DeepSeek R1 model, Yangcai has developed three core capabilities: intelligent demand forecasting, intelligent sourcing, and automated process management. These have respectively cut procurement costs by 15%, boosted supplier matching efficiency by 50%, and reduced labor costs by 20%, addressing the three core pain points of traditional procurement: lengthy workflows, fragmented resources, and delayed decision-making.

3. Future plans: Yangcai will continue expanding AI application scenarios, with the goal of building a "zero manual intervention" intelligent procurement ecosystem and becoming a public infrastructure for digital procurement transformation among central and state-owned enterprises.

This article outlines growth opportunities and cooperation directions for brands in the digital procurement sector serving central and state-owned enterprises (SOEs). Key takeaways are as follows:

1. Industry trends: Digital procurement transformation among central and SOEs entered an explosive growth phase in 2025, with strong market demand. Leading platforms are actively seeking access to high-quality supply brands. Yangcai has currently onboarded more than 10,000 premium supply brands, providing brands with one-stop procurement and precision matching connection services.

2. Channel growth opportunities: Yangcai covers 10 core industries and stably serves multiple large central and SOE clients, enabling brands to accurately reach high-end B2B customers. A leading domestic home appliance brand has already formed a partnership with Yangcai, targeting 50 million yuan in提货 value for the category in 2025, confirming the channel's growth potential.

3. Cost reduction and efficiency support: Leveraging Yangcai's AI-powered matching capability, brands can cut customer acquisition and connection costs, and use the platform's demand forecasting to arrange inventory appropriately, reducing the risk of overstocking and improving supply stability.

This article sorts out growth opportunities and actionable lessons for B2B sellers in the digital procurement sector serving central and state-owned enterprises (SOEs). Key takeaways are as follows:

1. Sector opportunities: In 2025, digital transformation among central and SOEs has become a growth wave driven by both policy and market forces, creating significant room for growth in the AI-powered procurement sector. Leading platform Yangcai is currently seeing record business growth with over 15,000 daily orders, and has strong demand for high-quality suppliers, with open access for premium brands. Sellers can gain stable traffic and order support by joining the platform.

2. Actionable operational lessons: Sellers can adopt the model of integrating large AI models to optimize operations, leveraging the technology for demand forecasting, intelligent sourcing and process automation. Yangcai's real-world data shows this model cuts procurement costs by 15%, boosts matching efficiency by 50%, and reduces labor costs by 20%, delivering significant results.

3. Cooperation directions: Sellers can settle in Yangcai's cross-regional resource pool, participate in project connections with large central and SOEs, and gain opportunities to co-develop industry standards with the platform, expand business scale, and boost industry influence.

This article shares insights and opportunities for manufacturing factories looking to access the central and state-owned enterprise (SOE) market and advance digital transformation. Key takeaways are as follows:

1. Business opportunities: The ongoing digital procurement transformation among central and SOEs has generated large volumes of stable B2B order demand. Yangcai covers 10 core sectors including energy, transportation and manufacturing, has secured multiple large SOE projects, and processes over 15,000 daily orders. It has currently integrated more than 10,000 high-quality supply brands, and qualified factories can join its platform resource pool to secure stable orders from large clients.

2. Production-side insights: Traditional factories rely on experience to plan production, which often leads to inventory imbalances, with unsold inventory accounting for up to 25% of total stock. Powered by the DeepSeek R1 model, Yangcai can forecast market demand for the next 3 to 6 months with 92% accuracy. Factories can use forecasting data from such platforms to adjust production plans and reduce overstock risk.

3. Digital transformation insights: Factories can follow Yangcai's transformation path of "mature large model + vertical scenario", using AI to optimize order management and customer connection, meet the digital connection requirements of large clients, and improve their own operational efficiency.

This article sorts out pain points, trends and actionable solutions for industrial digital service providers in the central and state-owned enterprise (SOE) procurement sector. Key takeaways are as follows:

1. Core client pain points: There are three core pain points in the digital procurement transformation of central and SOEs. First, traditional procurement workflows are lengthy, with tendering, approval and other processes still relying on offline operations, and information silos driving up collaboration costs. Second, resources are fragmented: industrial products have complex categories and chaotic coding, leading to difficulty sourcing products and weak bargaining power. Third, decision-making is delayed, relying on experience-based judgment, which often leads to inventory imbalances amid market volatility, with unsold inventory reaching 25% of total stock.

2. Industry trends: The vertical implementation of large AI models in procurement and supply chain scenarios has moved from concept to commercialization. Yangcai's practice of integrating DeepSeek R1 has validated the feasibility of this approach, and AI-enabled end-to-end optimization has become a core competitive advantage for platforms.

3. Referenceable solutions: To address the three core pain points, players can build a tiered solution framework of "end-to-end digitization + AI empowerment", "integrated cross-domain resource pool + intelligent matching", and "AI demand forecasting + pre-stocking". This solution improves decision-making efficiency by 70% and delivers 92% accurate demand forecasting, and has been validated by the market.

This article shares Yangcai's digital transformation and operational experience for industrial procurement platforms, offering references for platform development, operations and ecosystem building. Key takeaways are as follows:

1. Core user needs: The core demand for current central and state-owned enterprise (SOE) procurement platforms is to solve three core pain points of traditional procurement: lengthy workflows, difficulty sourcing products, and delayed decision-making. Platforms must build differentiated capabilities around these pain points to win customer recognition.

2. Technology and operations experience: Platforms do not need to train large models from scratch. They can quickly empower their own vertical scenarios by integrating the mature general-purpose large model DeepSeek R1. Yangcai's practice shows this model cuts procurement costs by 15%, improves supply stability to 99.5%, and boosts supplier matching efficiency by 50%, enabling fast technology deployment with strong results.

3. Ecosystem building experience: Platforms should open up to integrate upstream high-quality supply brands, build three-dimensional filtering capabilities across region, industry and demand to meet the personalized needs of large clients, and position themselves as infrastructure for industry transformation to scale quickly. Yangcai has currently integrated more than 10,000 high-quality brands covering all product categories, validating the effectiveness of this model.

This article provides the latest industry trends and a live case of procurement transformation among central and state-owned enterprises (SOEs) for industrial digitalization researchers. Key research materials are summarized as follows:

1. New industry trends: In 2025, digital transformation among central and SOEs has entered a phase of deep implementation. Vertical empowerment of supply chain procurement via large AI models has emerged as a new industry direction. The dual-driven "AI + Procurement" model has already completed commercial validation. Yangcai's case shows the model delivers significant cost reduction and efficiency improvement, with over 15,000 daily orders and business growth hitting an all-time high.

2. Core open research questions: The three long-standing pain points of traditional SOE procurement—lengthy workflows, fragmented resources, and delayed decision-making—remain core challenges in the transformation process. More efficient solutions require joint exploration from academia and industry.

3. Business model innovation: Yangcai has developed a business model of "mature large model + vertical industry platform + supply chain ecosystem services", which integrates upstream and downstream resources via open access and empowers the entire value chain with AI. Its future goal is to build a "zero manual intervention" intelligent procurement ecosystem and position itself as public infrastructure for industry transformation. This new open platform business model deserves in-depth research, and the large volume of implementation data disclosed in the case also provides support for quantitative 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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冲刺首季开门红!

阳采集团全面接入DeepSeek,

实现AI+采购双轮架构,

驱动供应链数智化跃迁

2025年央国企数字化转型浪潮奔涌阳采集团以“AI+供应链”双轮驱动,交出一份亮眼答卷——日均订单量突破1.5万,客户规模与业务增速双双刷新纪录!

01

业绩速览:订单、客户双突破,十大行业全面覆盖

接力2024年,焦煤集团、华新燃气、神达集团等大型国企项目接连中标合作,2025年该系列项目陆续上线,并在年前至年后呈现两个订单交易高峰区间,更是从2025年开年至今平均单日订单量破1.5万单,创历史新高,覆盖能源、交通、制造等十大核心领域。

阳采供应链随着阳采数据中心多元AI接口接入,呈现高频高效数据处理,快速重整上线超10000家优质供应品牌,实现“一站式采购+精准匹配”,客户采购周期平均缩短30%。

02

技术突破:DeepSeek R1模型接入阳采数据中台重构采购效率

阳采数据中台作为阳采集团全新一代数据处理大模型,聚焦定位行业场景专项化模拟产出,通过垂直产业深耕,快速进行数据处理、备品预测、风险预测、场景方案等应用落地,构建数据和模型的飞轮,以细分、真实、专业场景日臻完善平台能力,最终反哺和完善通用类数据模型实现产业上下游企业数字化高效赋能。

目前,阳采数据中心已经接入DeepSeek R1模型,借助大模型的强大计算和推理能力,帮助阳采在数字化采购场景下深度应用,例如帮助阳采在产品信息管理中得到更大改善。

智能预测:春节期间,通过DeepSeek R1模型的AI算力,分析历史数据与市场趋势,精准预判客户需求,减少冗余采购提前预判库存需求,动态调配资源,采购成本降低15%,供应稳定性提升至99.5%。

智能寻源:基于企业行业属性,AI自动推荐适配商品,供应商匹配效率提升50%。

自动化管理:产品信息录入、订单处理等环节实现AI自动化,人力成本节省20%。


供应链“数智网”:依托信息化网络,阳采打通上下游数据壁垒,实现资源实时共享。

某大型能源行业客户反馈:“从签约到上线仅用15天,阳采的响应速度与定制化服务远超预期。通过深度协同,商品供应响应速度提升40%,缺货率下降至行业最低水平,直接大幅提升采购效率。”

某国内头部家电品牌区域工程部销售主管表示:“利用集团商家对商家等多平台的操作的优势,迅速的将我们的工程产品做至千家万户,同时我司也会会定期的向阳采集团的业务运营、采购等板块提供基础的培训,希望我们两方共同携手在2025年打造该产品类提货额超过5000万的新高峰”。

03

行业纵深:破解国央企采购转型三大痛点

在央国企数字化转型中,传统采购模式长期面临“流程冗长、资源分散、决策滞后”的桎梏。阳采集团聚焦三大核心痛点,以技术为矛、数据为盾,打造了一套差异化解决方案,助力企业实现采购效能跃升。

数字化工具全链路重塑采购效率:传统采购面临招标、比价、履约等环节依赖线下沟通,合同审批动辄数周,信息孤岛导致协同成本高企。

阳采集团全链路实现线上化,通过数字化平台将招标公示、供应商报价、合同签署、物流跟踪等环节无缝衔接,实现“一屏可视、一键操作”,打造智能AI采购助手,根据行业、日期、产品保质期等信息检索实时跟进报备,预测采购风险定制采购计划,推动采购决策,降低采购合规风险、削减沟通成本减少人力投入,提高采购效率。

低沉本、高品质集货商跨域资源池破解“找货难”:传统工业品分类繁杂、多区域供应资源分散和编码标准混乱,导致数字化采购系统难以应用、标准化建设不足导致信息冗杂查找困难、资源分散导致议价能力弱采购成本高。

阳采供应链整合超10000家优质品牌进行行业专业场景化推送,覆盖建材、设备、MRO等全品类,支持“地域+行业+需求”三维筛选。利用AI自动匹配最优供应商组合,针对复杂项目(如某大型能源集团矿井设备采购)实现“一键生成供应商短名单”,决策效率提升70%。

AI透视客户需求,精准预测备品备件:传统采购决策依赖经验判断,市场波动与库存失衡频发,客户自有库存滞销品占比高达25%。阳采集团基于自身阳采数据中台模型动态监测,接入DeepSeek R1模型分析历史采购数据、行业趋势及宏观经济指标,预判未来3-6个月需求,准确率达92%,前置备货入客户属地仓储延续保障供应稳定。阳采集团内部管理AI生成多维分析报表(如供应商绩效、品类价格波动、库存健康度),支持管理层“分钟级”决策保障客户供应需求。

未来,阳采集团也将积极应用开拓多元化AI模型智能应用,联合DeepSeek等多元化数据模型拓展至商品智能定价、合同自动化审查等领域,将AI管理渗透至供应商评级、风险预警等深层场景,目标是打造‘零人工干预’的智能采购生态。联合更多客户企业打造行业标准,成为央企采购数字化转型的“基础设施”,共建数智未来新生态。

注:文/龚作仁,文章来源:Laborer,本文为作者独立观点,不代表亿邦动力立场。

文章来源:Laborer

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