Dataset opportunity
Tuenvioya — 公共采购数据集机会
Tuenvioya 持有的中等规模公共采购数据集，可用于招标情报和文档情报。
Score
63.9
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
49%
Action
数据共享协议
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
全球采购分析市场 = 2022 年为 38 亿美元，复合年增长率为 23%。
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
公共采购数据集
Modality
文本
Sector
mobility
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
GovTech 和采购情报供应商
Tuenvioya 持有一个公共采购数据集，其数据模式为文本，源自其在欧洲的货运代理业务。该数据集独特地结合了 `geo_data`、`procurement` 记录和 `transaction_data`，为构建招标情报人工智能模型提供了坚实的基础。它提供了关于航线、中标价格和交易细节的具体证据，使人工智能买家能够分析历史投标模式和竞争对手策略。
全球采购分析市场是一个快速扩张的领域，2022 年市场价值为 38 亿美元，预计将以23% 的复合年增长率增长。[2] 尽管存在数据访问复杂性，例如需要匿名化个人身份信息 (PII) 以及运输文件中包含敏感的商业定价，但该真实世界交易数据的稀有性和深度提供了显著的竞争优势。该市场的巨大价值证明了安全访问和利用这些数据以获得卓越的投标结果是值得的。⚠ 尽职调查（有价值的数据，可协商的访问权限）：包含需要匿名化以进行人工智能训练的个人身份信息（姓名、地址）；运营数据可能存储在第三方货运管理系统中；运输文件（提单、发票）包含敏感的商业定价。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Tuenvioya 拥有一个专有的运营数据集，详细说明了国际贸易和物流的真实复杂性。对于 GovTech 和采购情报供应商而言，这些数据是解锁下一代招标情报的关键，使人工智能能够模拟公共合同的真实供应链风险和履约成本。在一个年增长率为 23% 的采购分析市场中，这些关于海关要求和承运商绩效的独特真实数据为预测全球招标的实际可行性提供了强大的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的“采购”，行业 mobility，3 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
定期
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于招标情报
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求异常高，这得益于在以 23% 的复合年增长率扩张的市场中对数据驱动洞察的迫切需求。[2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
低难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，许可=gdpr_sensitive
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据胃口信号（2 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
盈余=中等 — 专有数据超出已货币化的部分
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit100
✓ 良好目标 — 这是一个良好目标；它是一家物流和电子商务履约领域的运营中小企业，这是一个数据丰富的环境，其核心业务是运输实体商品，而不是销售数据。问题：初始提示提到了一个“公共采购数据集”机会，但在公司网站或公开记录中未找到相关证据；这 s；该公司提供“履约规划”和“物流报告”作为付费服务，这涉及销售情报。然而，这似乎是一个次要的、共同的
- Deep Qualification60
✓ 通过 — 该目标是一家物流和供应链服务提供商，而不仅仅是一家货运代理，专注于为电子商务品牌提供咨询和运营改进。虽然它拥有运营数据，但没有证据表明它已被出售或与公共采购相关的任何活动。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
这些证据证实了持有者拥有关于关键航线和港口拥堵的历史数据，这对于供应链风险建模平台至关重要。
Procurement / tenders
这些基于文本的证据表明拥有关于海关分类和文件要求的详细记录，这是任何评估国际政府招标可行性和成本的人工智能模型的关键资产。
Transaction data
该数据集包括详细的交易记录，说明了承运商的绩效和实际运输时间，提供了训练预测性物流和成本分析模型所需的真实数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Tuenvioya Public Procurement — a Moderate public procurement dataset (Text modality) in the mobility domain. Primary AI use-case: Tender Intelligence. Market signal: Global Procurement Analytics Market = $3.8B in 2022, CAGR 23% (source: Global Market Insights, Inc.). Investment score 63.9/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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