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天源迪科荣获第三届招标采购技能大赛招标投标领域AI赛项总决赛金奖

龚作仁 2026-08-21 18:56
龚作仁 2026/08/21 18:56

邦小白快读

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本文核心信息是第三届招标采购技能大赛在北京圆满落幕,天源迪科斩获招标投标领域AI赛项总决赛金奖,核心干货整理如下:

1. 本次大赛由《中国招标》期刊有限公司主办、招标采购联盟联合主办,中国物流与采购联合会公共采购分会指导,采用AI与人类选手同时同题实时作答的创新模式,线上线下同步直播,人机对决全过程公开透明,全程可追溯。

2. 本届大赛以“人机协同·智赋招采”为核心导向,共有35家招标投标团体参赛队伍、10家招采领域大模型厂商同步参赛,设置三大比拼环节:前两轮为客观题,AI与人类同卷同步作答;第三轮为AI厂商自选案例题作答。

3. 当前招标采购行业生态正在重塑,AI+招采融合是行业明确发展方向,天源迪科依托自研天枢大模型参赛获奖,证明其技术实践已经获得行业权威认可。

本文内容给布局To B智能化服务的品牌商,提供了行业方向与品牌营销推广的参考干货,具体如下:

1. 行业趋势层面,2026年是“十五五”开局之年,也是招标采购行业推进高质量发展的关键节点,当前行业生态正在重塑,对技术、管理都提出了新要求,AI赋能招采已经成为明确的行业风口,布局相关业务的品牌商可顺势切入这个赛道。

2. 品牌营销层面,本次大赛是招采领域的权威官方赛事,有头部行业机构背书,是非常优质的品牌展示渠道,天源迪科通过参赛获奖,直接向行业展现了自身AI+招采的技术实力,靠权威赛事背书强化了品牌专业认知,这种推广路径值得同类品牌参考。

3. 产品研发层面,行业已经明确需要适配人机协同的AI解决方案,品牌研发可侧重人机能力互补的方向,贴合行业实际需求。

本文透露了招标采购领域的最新发展动向,给相关领域卖家整理出机会和参考干货如下:

1. 发展机会层面,2026年“十五五”开局是招采行业高质量发展的关键期,行业生态重塑过程中,AI与招采的深度融合是明确的增长方向,有技术能力的卖家可提前布局招采AI服务赛道,抢占市场先机。

2. 需求变化层面,行业当前需要锻造适配新形势的新能力,同时要建设高素质专业化招采人才队伍,卖家可针对性推出人才培训、AI效率工具等产品,匹配行业新需求。

3. 发展路径提示,这类由权威行业机构主办的技能大赛,是卖家展示自身实力、对接行业资源、获取行业认可的优质渠道,相关卖家可积极参与这类赛事,拓展合作机会,打开行业知名度。

本文给工厂推进数字化转型、挖掘新商业机会提供了不少启示,干货整理如下:

1. 数字化转型启示:当前各个行业都在推进智能化升级,招标采购作为企业供应链管理的核心环节,已经率先探索AI赋能、人机协同的转型路径,工厂优化自身采购、供应链管理环节,可以参考这种“AI+业务场景”的融合模式,借助AI技术实现降本提效。

2. 商业机会挖掘:招采领域的智能化升级已经产生了明确的市场需求,成为新的细分赛道,有相关技术能力的工厂,若想拓展To B服务业务,可以瞄准传统招采行业的升级需求,开发相关软硬件产品,抓住新的增长机会。

3. 核心竞争力打造参考:AI落地的核心是和行业场景深度融合,天源迪科持续探索AI与招采的融合路径,最终靠实力获奖,证明工厂不管是转型还是拓展新业务,都要侧重技术和实际场景结合,才能打造核心竞争力。

本文给招采领域相关的数字化服务商,明确了行业发展趋势和客户需求方向,干货整理如下:

1. 行业发展趋势:当前招标采购行业正处于生态重塑的关键阶段,高质量发展是核心目标,行业对AI赋能、人机协同的智能化升级有非常明确的需求,“人机协同·智赋招采”是行业未来的核心发展方向,服务商可以锚定这个方向布局自身核心业务。

2. 客户需求痛点:传统招采行业升级,需要的是能发挥AI和人类各自优势的人机协同解决方案,不是单纯用AI替代人力,服务商开发解决方案要抓住“优势互补”这个核心痛点,避免脱离实际需求的纯技术路线。

3. 技术路线参考:天源迪科依托自研天枢大模型,在本次权威赛事中获得金奖,证明大模型落地招采场景是可行的技术路线,服务商的技术研发可以参考这个方向,深耕招采场景的融合开发,打造符合行业需求的产品。

本文对招采领域相关的平台商,明确了行业新需求,提供了运营升级的方向参考,干货整理如下:

1. 平台服务升级方向:当前招采行业用户对AI智能化服务的需求越来越高,平台商需要引入更多像天源迪科这样成熟的招采领域AI大模型服务商,完善平台的AI服务配套,满足用户的升级需求,提升平台自身的核心竞争力。

2. 招商运营参考:平台可以参考本次大赛的运营思路,举办行业技能赛事、AI对抗赛类活动,一方面可以精准吸引优质AI服务商、招采企业入驻平台,完成高效招商,另一方面也能搭建行业交流对接的生态,扩大平台在行业内的影响力。

3. 风向规避提示:人机协同已经成为招采行业明确的发展趋势,平台若不跟进技术升级,完善相关服务,很可能会被市场淘汰,平台需要提前布局相关业务,抓住升级风口,规避落后风险,挖掘新的增长点。

本文展现了招标采购领域的最新产业动向,给产业研究提供了新的样本和方向参考,干货整理如下:

1. 产业新动向梳理:当前国内招标采购行业已经进入生态重塑的新阶段,2026年“十五五”开局是行业推进高质量发展的关键节点,AI技术与招采行业深度融合、人机协同已经成为明确的产业发展新方向,将重构传统招采行业的技术结构与人才体系。

2. 研究样本参考:本次大赛采用AI与人类选手同场竞技的创新模式,直观展现了AI技术与人类专业智慧的能力边界、对比优势与互补价值,给研究者研究AI落地传统行业的路径、人机协同的商业模式,提供了真实可追溯的研究样本。

3. 产业规律研究参考:当前行业已经形成了“以赛促建”的发展模式,通过权威赛事推动人才队伍建设、加速技术创新落地,天源迪科深耕行业场景融合最终获奖,也证明了深耕场景的技术路线更符合产业落地需求,对研究AI产业落地规律有重要参考价值。

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声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

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Quick Summary

This article covers the conclusion of the 3rd National Bidding and Procurement Skills Competition held in Beijing, where Chinese tech firm Tianyuan Di won the gold medal in the AI category of the national finals. Key takeaways are as follows:

1. Organized by China Bidding Journal Co., Ltd. and co-hosted by the Bidding and Procurement Alliance, under the guidance of the Public Procurement Branch of the China Federation of Logistics and Purchasing, the competition adopted an innovative format that required AI systems and human competitors to answer the same questions in real time simultaneously. The entire human-AI showdown was broadcast live both online and offline, with a fully transparent and traceable process.

2. Themed "Human-Machine Collaboration, AI-Enabled Procurement", the competition drew 35 bidding team participants and 10 leading large language model vendors from the procurement sector. It featured three rounds of competition: the first two rounds were objective questions answered simultaneously by AI and human participants on the same test paper, while the third round was a case presentation where AI vendors selected their own use cases.

3. The bidding and procurement industry is currently undergoing an ecological reshaping, and AI-powered procurement integration has emerged as a clear development direction for the sector. Tianyuan Di's victory, secured with its self-developed Tianshu Large Model, confirms that its technical practices have won authoritative industry recognition.

This article provides actionable insights on industry trends and brand marketing for brands engaging in B2B intelligent services. Key takeaways are as follows:

1. Industry trend: 2026 marks the opening year of China's 15th Five-Year Plan and a critical juncture for the high-quality development of the bidding and procurement industry. As the industry ecosystem reshapes and raises new requirements for technology and management, AI-enabled procurement has become an established industry growth track. Brands looking to expand in this space can leverage this momentum to enter the market.

2. Brand marketing: This competition is an authoritative, industry-endorsed event that serves as an excellent brand exposure channel. By winning the gold medal, Tianyuan Di successfully showcased its technical strengths in AI-powered procurement to the industry and reinforced its professional brand image through authoritative endorsement. This marketing approach offers a valuable reference for peer brands.

3. Product R&D: The industry has clearly articulated demand for AI solutions that support human-machine collaboration. Brands can focus their R&D on building solutions that combine the complementary strengths of humans and AI to align with actual industry needs.

This article outlines the latest developments in the bidding and procurement sector and highlights key opportunities for relevant market participants. Key takeaways are as follows:

1. Growth opportunities: The opening of the 15th Five-Year Plan in 2026 will be a critical period for high-quality growth in the procurement industry. Amid ongoing industry reshaping, deep integration of AI and procurement is a clear growth direction. Sellers with technical capabilities can get an early mover advantage by pre-positioning in the AI procurement service track.

2. Shifting demand: The industry is now focusing on building new capabilities adapted to the new landscape and developing a high-quality, professional procurement talent pool. Sellers can launch targeted offerings such as professional training programs and AI efficiency tools to match these new industry demands.

3. Growth path guidance: Skill competitions hosted by authoritative industry institutions are excellent channels for sellers to showcase strengths, connect with industry resources, and earn industry recognition. Relevant sellers are advised to actively participate in such events to expand partnership opportunities and build industry reputation.

This article offers key insights for factories advancing digital transformation and identifying new business opportunities. Key takeaways are as follows:

1. Digital transformation lessons: As intelligent upgrades sweep across all sectors, bidding and procurement — a core link in corporate supply chain management — has already pioneered a transformation path of AI enablement and human-machine collaboration. Factories looking to optimize their procurement and supply chain management can adopt this "AI + business scenario" integration model to cut costs and improve efficiency via AI technology.

2. New business opportunity identification: The intelligent upgrade of the procurement sector has generated clear market demand and formed a new niche track. Factories with relevant technical capabilities that want to expand their B2B service business can target the upgrade demand of the traditional procurement industry, develop related hardware and software products, and capture new growth opportunities.

3. Core competitiveness development reference: Successful AI deployment hinges on deep integration with industry-specific scenarios. Tianyuan Di's continuous exploration of AI-procurement integration and eventual competition victory proves that for factories, whether pursuing internal transformation or new business expansion, focusing on integrating technology with actual use cases is the only way to build sustainable core competitiveness.

This article clarifies industry development trends and customer demand directions for digital service providers operating in the procurement sector. Key takeaways are as follows:

1. Industry development trend: The bidding and procurement industry is currently in a critical stage of ecological reshaping, with high-quality development as its core goal. The industry has very clear demand for intelligent upgrading centered on AI enablement and human-machine collaboration. "Human-Machine Collaboration, AI-Enabled Procurement" is the core future development direction of the industry, and service providers can anchor this direction to layout their core businesses.

2. Core customer pain points: The upgrade of the traditional procurement industry requires human-machine collaborative solutions that leverage the respective strengths of AI and humans, rather than simply replacing human labor with AI. Service providers should center on "strength complementarity" when developing solutions, and avoid pure technology-led routes disconnected from actual demand.

3. Technical direction reference: Tianyuan Di's gold medal win with its self-developed Tianshu Large Model at this authoritative competition proves that deploying large language models for procurement scenarios is a viable technical route. Service providers can reference this direction for R&D, focus on deep integration development for procurement scenarios, and build products that meet industry needs.

This article clarifies new industry demand and offers operational upgrading guidance for platform operators in the procurement sector. Key takeaways are as follows:

1. Platform service upgrading direction: As demand for AI-powered intelligent services grows among procurement industry users, platforms should onboard more mature AI large model service providers for procurement scenarios such as Tianyuan Di, improve their AI service offerings to meet users' upgrading demand, and boost their own core competitiveness.

2. Investment attraction and operation reference: Platforms can learn from the operation model of this competition by hosting industry skill competitions and AI vs. human challenge events. On one hand, this allows platforms to accurately attract high-quality AI service providers and procurement enterprises to onboard, enabling efficient investment attraction. On the other hand, it helps build an industry exchange and connection ecosystem, expanding the platform's influence in the sector.

3. Risk mitigation guidance: Human-machine collaboration has become an established development trend for the procurement industry. Platforms that fail to follow the technology upgrading trend and improve related services face a high risk of being phased out by the market. Platforms should pre布局相关业务,抓住升级风口,规避落后风险,挖掘新的增长点。

This article presents the latest industry developments in the bidding and procurement sector, offering new samples and direction references for industrial research. Key takeaways are as follows:

1. New industry trend overview: China's bidding and procurement industry has now entered a new stage of ecological reshaping. The opening of the 15th Five-Year Plan in 2026 is a critical juncture for the industry to advance high-quality development. Deep integration of AI technology with the procurement industry and human-machine collaboration has emerged as a clear new industrial development direction, which will reshape the technical structure and talent system of the traditional procurement industry.

2. Research sample reference: The competition's innovative format of AI and human participants competing on the same stage intuitively demonstrates the capability boundaries, comparative advantages and complementary value of AI technology and human professional expertise. This provides a real, traceable research sample for scholars studying AI deployment paths in traditional industries and human-machine collaboration business models.

3. Industrial law research reference: The industry has now formed a "promote development through competition" model, where authoritative events drive talent pool building and accelerate the commercialization of technical innovation. Tianyuan Di's victory after years of focusing on industry scenario integration also proves that the scenario-focused technical route is more aligned with industrial deployment demand, which offers important reference value for research on the rules of AI industrial deployment.

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 .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

8月20日,第三届招标采购技能大赛--招标投标赛项与招标投标领域AI赛项在北京圆满落幕,天源迪科荣获总决赛金奖。

图片

本次大赛由《中国招标》期刊有限公司主办、招标采购联盟联合主办、中国物流与采购联合会公共采购分会指导。采用AI与人类选手同一时间、同一试题、全程实时作答的方式,线上线下同步直播,人机对决全过程实时呈现于大屏,全程透明可追溯。

总决赛初始,中国机电设备招标中心主任刘爱民致辞:“2026年是“十五五”规划开局之年,也是招标采购行业抢抓机遇、推进高质量发展的关键之年。当前,招标采购行业生态正在重塑,对管理、技术等各方面都提出了许多新的要求。《中国招标》连续三年举办招标采购技能大赛,目的就是为了推动招采行业适应新形势、锻造新能力,推动高素质专业化招采人才队伍建设。”

本届大赛以“人机协同·智赋招采”为核心导向,直观呈现AI技术与人类专业智慧的能力边界、对比优势与互补价值。当日上午,由35家招标投标团体参赛队伍和10家招采领域大模型厂商同步开赛,赛项设置三大比拼环节:前两轮为客观题,AI与人类选手同卷、同时、同步作答;第三轮为案例分析题,各家AI厂商代表从人类选手已抽取的题目中自选一题进行作答。

图片

天源迪科持续探索人工智能与招标采购行业深度融合的实践路径,为行业智能化升级注入新动能。本次比赛中,天源迪科参赛团队携天枢大模型沉着应战、发挥出色,在招标投标领域AI赛项总决赛中脱颖而出,一举斩获金奖!

图片

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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FAQ回顾

天源迪科在招采AI领域取得了什么成绩?

天源迪科持续探索人工智能与招标采购行业深度融合的实践路径,为行业智能化升级注入新动能,其携天枢大模型参加第三届招标采购技能大赛招标投标领域AI赛项总决赛,凭借出色表现斩获金奖。

第三届招标采购技能大赛的核心导向是什么?

第三届招标采购技能大赛以“人机协同·智赋招采”为核心导向,采用AI与人类选手同一时间、同一试题、全程实时作答的方式,直观呈现AI技术与人类专业智慧的能力边界、对比优势与互补价值。

当前招标采购行业发展有哪些新要求?

2026年是“十五五”规划开局之年,也是招标采购行业抢抓机遇、推进高质量发展的关键之年,当前行业生态正在重塑,对管理、技术等各方面都提出了新的要求,需适配新形势锻造新能力。

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