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天源迪科数字化电商采购平台荣膺2025年度优秀软件产品

作者:龚作仁 文章来源:Laborer

2026-01-15 17:58

作者:龚作仁 文章来源:Laborer

2026-01-15 17:58

邦小白快读

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天源迪科数字化电商采购平台荣获2025年度优秀软件产品,彰显技术创新与实用价值。

1. 该奖项由中国软件行业协会评选,聚焦技术创新性、功能实用性和市场竞争力。

2. 平台服务于央国企及大型集团企业,提供从选品、比价、下单到审批、交付履约、结算的全过程一站式采购服务。

平台优化传统采购方式,实现高效透明操作。

1. 应用云计算、大数据、AI大模型技术,减少重复性工作,节省企业8%-10%综合采购成本。

2. 缩短采购周期,提高采购质量,形成企业优质数据资产。

3. 扩展服务至外部,支持多行业如能源、航空航天、交通建设、化工、银行、制造业的数字化转型。

天源迪科数字化采购平台体现产品研发创新与消费趋势洞察。

1. 平台应用“互联网+”、云计算、大数据、AI大模型技术,开发智能物资治理、标准商品库、智能价格监测等创新产品。

2. 反映企业采购数字化趋势,央国企需求升级推动品牌渠道优化。

品牌营销启示来自平台实用价值。

1. 通过整合供应商资源,优化采购流程,帮助企业实现即需即采、所见即所得,可能影响品牌定价策略。

2. 用户行为观察显示,高效透明采购可提升消费体验,案例覆盖能源、制造业等行业大型企业。

数字化采购市场增长带来新机会与可学习点。

1. 央国企采购管理升级事件提示需求变化,平台服务多行业如交通建设、化工,反映增长市场。

2. 事件应对措施包括应用大模型、智能体、RPA、NLP技术,创新智能辅助编标、价格管控等方案。

正面影响包括风险降低和商业模式创新。

1. 节省8%-10%采购成本,缩短周期,降低运营风险。

2. 合作方式涉及整合外部供应商资源,扶持政策体现在平台提供一站式服务,可学习其优化流程和形成数据资产。

平台针对生产物资和非生产物资采购,提供商业机会与数字化启示。

1. 优化传统采购流程,减少重复工作,节省8%-10%综合成本,启示工厂推进电商化降本增效。

2. 案例服务于制造业等大型企业,提示参与供应链整合机会。

数字化电商启示包括技术应用。

1. 应用云计算、大数据、AI大模型技术变革运营模式,形成企业数据资产。

2. 扩展服务至外部,支持工厂优化自身采购设计,提升生产效率。

行业发展趋势聚焦数字化采购智能化与新技术应用。

1. 央国企采购升级推动产业转型,平台服务于能源、航空航天等行业,反映需求增长。

2. 新技术包括大模型、智能体、RPA、NLP,创新智能物资治理、智能合规风控等产品。

客户痛点解决方案涉及优化采购流程。

1. 解决传统采购低效、高成本痛点,通过一站式服务实现全流程数字化管理。

2. 提供智能价格监测、智能客服等方案,节省8%-10%成本,形成数据资产支撑服务扩展。

商业对平台需求包括高效采购管理与招商整合。

1. 企业需要一站式服务解决从选品到结算的问题,平台整合外部供应商资源支持招商。

2. 最新做法应用AI大模型、RPA等技术,创新智能采购助手、采购数字人等产品。

运营管理与风向规避强调优化流程。

1. 全流程数字化操作提升效率,节省8%-10%成本,规避传统采购风险。

2. 扩展服务至外部,运营案例覆盖多行业大型企业,提示平台需持续探索升级方案。

产业新动向体现AI+采购供应链实践与商业模式变革。

1. 平台应用大模型、智能体等技术,创新智能辅助编标、智能问数等产品,反映新问题如数字化采购智能化转型。

2. 政策法规启示来自奖项评选标准,聚焦技术创新和实用价值。

商业模式分析包括服务扩展与数据资产。

1. 一站式采购服务模式优化传统运营,节省8%-10%成本,形成企业数据资产。

2. 扩展服务由对内延伸至外部,案例涉及能源、银行等行业,提示产业升级最佳方案。

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

Tianyuan Dic's Digital E-commerce Procurement Platform has been honored as an Outstanding Software Product for 2025, highlighting its technological innovation and practical value.

1. The award, selected by the China Software Industry Association, focuses on technological innovation, functional utility, and market competitiveness.

2. The platform serves central state-owned enterprises and large corporate groups, providing end-to-end procurement services covering product selection, price comparison, ordering, approval, delivery fulfillment, and settlement.

The platform optimizes traditional procurement methods, enabling efficient and transparent operations.

1. Leveraging cloud computing, big data, and AI large models, it reduces repetitive work and saves enterprises 8%-10% in overall procurement costs.

2. It shortens procurement cycles, improves procurement quality, and helps build high-quality corporate data assets.

3. Services are extended externally, supporting digital transformation across industries such as energy, aerospace, transportation infrastructure, chemicals, banking, and manufacturing.

Tianyuan Dic's digital procurement platform reflects innovation in product development and insights into consumer trends.

1. The platform utilizes "Internet+", cloud computing, big data, and AI large models to develop innovative products like intelligent material management, standardized product libraries, and smart price monitoring.

2. It reflects the trend toward digitalization in corporate procurement, with upgraded demand from central state-owned enterprises driving optimization in brand distribution channels.

Brand marketing insights are drawn from the platform's practical value.

1. By integrating supplier resources and optimizing procurement processes, it enables on-demand purchasing and what-you-see-is-what-you-get, potentially influencing brand pricing strategies.

2. User behavior observations show that efficient, transparent procurement enhances the consumer experience, with case studies covering large enterprises in sectors like energy and manufacturing.

The growth of the digital procurement market presents new opportunities and learning points.

1. Upgraded procurement management in central state-owned enterprises signals changing demand; the platform's service across industries like transportation infrastructure and chemicals reflects a growing market.

2. Response measures include applying large models, intelligent agents, RPA, and NLP technologies to innovate solutions such as intelligent bidding assistance and price control.

Positive impacts include risk reduction and business model innovation.

1. It saves 8%-10% in procurement costs, shortens cycles, and lowers operational risks.

2. Collaboration methods involve integrating external supplier resources, with support policies reflected in the platform's one-stop service, offering lessons in process optimization and data asset formation.

The platform addresses procurement of both production and non-production materials, offering business opportunities and digital insights.

1. By optimizing traditional procurement processes and reducing repetitive work, it saves 8%-10% in overall costs, providing a model for factories to adopt e-commerce for cost reduction and efficiency gains.

2. Case studies serving large manufacturing enterprises highlight opportunities for supply chain integration.

Digital e-commerce insights include technology applications.

1. The use of cloud computing, big data, and AI large models transforms operational models and helps build corporate data assets.

2. Extending services externally supports factories in optimizing their procurement designs and improving production efficiency.

Industry trends focus on the intelligentization of digital procurement and the application of new technologies.

1. Procurement upgrades in central state-owned enterprises drive industrial transformation; the platform's services for energy, aerospace, and other sectors reflect growing demand.

2. New technologies like large models, intelligent agents, RPA, and NLP power innovative products such as intelligent material management and smart compliance risk control.

Customer pain point solutions involve optimizing procurement processes.

1. It addresses inefficiencies and high costs in traditional procurement through end-to-end digital management via one-stop services.

2. Solutions like smart price monitoring and intelligent customer service save 8%-10% in costs and create data assets that support service expansion.

Business demands on the platform include efficient procurement management and supplier integration.

1. Enterprises require one-stop solutions from product selection to settlement; the platform integrates external supplier resources to support merchant recruitment.

2. Latest practices involve AI large models, RPA, and other technologies to innovate products like intelligent procurement assistants and digital procurement agents.

Operations management and risk avoidance emphasize process optimization.

1. End-to-end digital operations enhance efficiency, save 8%-10% in costs, and mitigate risks associated with traditional procurement.

2. External service expansion, with case studies across multiple industries, indicates the need for platforms to continuously explore upgrade solutions.

Industry trends reflect AI-driven procurement supply chain practices and business model transformations.

1. The platform's use of large models, intelligent agents, and other technologies innovates products like intelligent bidding assistance and smart data querying, addressing new challenges such as intelligent digital procurement transformation.

2. Policy and regulatory insights from the award criteria highlight a focus on technological innovation and practical value.

Business model analysis includes service expansion and data assets.

1. The one-stop procurement service model optimizes traditional operations, saving 8%-10% in costs and forming corporate data assets.

2. Service expansion from internal to external, with cases in energy, banking, and other sectors, points to best practices for industrial upgrading.

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.

1月12日,中国软件行业协会正式公布了2025年度优秀软件产品名单,天源迪科数字化电商采购平台凭借其技术创新与实用价值成功入选。

中国软件行业协会主办的年度优秀软件产品评选推广活动,是软件行业极具权威性和影响力的专业奖项评选之一,该评选聚焦产品的技术创新性、功能实用性、市场竞争力及用户口碑等多个维度,旨在表彰和推广那些真正推动产业发展、解决用户实际需求的优秀软件产品,鼓励软件企业创新发展。

天源迪科数字化电商采购平台主要服务于央国企以及大型集团型企业,通过整合外部供应商商品/服务资源,为采购用户提供互联网一站式、自助式的采购服务,实现从用户选品、比价、下单、审批、交付履约、结算等全过程的数字化采购操作和管理,优化传统采购方式,使企业采购实现即需即采、所见即所得,更加高效透明,并获得更低的采购成本和更高的采购质量,缩短采购周期。

天源迪科“迪易采“系列产品深入数字化采购供应链平台多年,针对生产物资、非生产物资,通过大量的案例创新和实践,形成一套利用“互联网+”、云计算、大数据、AI大模型技术,对传统采购方式、运营模式进行变革,减少大量重复性采购工作,优化采购流程,为企业节省8%-10%的综合采购成本,同时形成企业优质数据资产,并支撑企业将网上商城服务由对内延伸至企业外部服务。在迪易采多年的客户合作中,已经为能源、航空航天、交通建设、化工、银行、制造业等多种行业的大型企业建设数字化采购供应链平台,助力企业实现采购业务数字化智能化转型。

目前,天源迪科已在“人工智能+采购供应链”领域做了诸多实践,应用大模型、智能体、RPA、NLP等技术,创新了多个产品和方案,包括智能物资治理、标准商品库、智能价格监测、智能辅助编标和评标、价格管控、智能问数、智能合规风控、智能采购助手、采购数字人、智能客服等。随着央国企采购管理的升级,天源迪科将保持初心,持续探索央国企数字化供应链转型升级最佳方案,为客户提供优质产品和服务。

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。

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FAQ回顾

天源迪科数字化电商采购平台主要服务哪些客户?

该平台主要服务于央国企及大型集团型企业,覆盖能源、航空航天、交通建设、化工、银行、制造业等多个行业,提供一站式数字化采购解决方案。

天源迪科迪易采平台如何帮助企业降低采购成本?

通过应用互联网+、云计算、大数据和AI大模型技术,平台可优化采购流程,减少重复工作,为企业节省8%-10%的综合采购成本,并形成优质数据资产。

天源迪科在人工智能+采购领域有哪些创新应用?

创新应用包括智能物资治理、标准商品库、智能价格监测、智能辅助编标评标、采购数字人、智能客服等,利用大模型、智能体、RPA和NLP技术实现采购智能化。

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