Dataset opportunity
Dutchgloballogistics — 工业运营数据集机会
Dutchgloballogistics 持有的中等工业运营数据集，可用于工业监控和预测。
Score
62.7
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
收购
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)
全球运输管理系统 (TMS) 市场在 2024 年的估值为 168 亿美元，预计复合年增长率为 20.0%（2024-2030 年）。
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
工业运营数据集
Modality
时间序列
Sector
mobility
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 需明确许可权 · PII/受监管
Buyer persona
工业人工智能集成商
Dutchgloballogistics 持有一个详细的工业运营数据集，结构为时间序列数据，源自其核心业务记录和交易数据。这些精细数据可能源自运输管理系统 (TMS)，包括装运状态、承运商运输时间和交付计划等运营指标，非常适合训练工业监控人工智能模型，以预测延误、优化路线和监控资产绩效。
该数据的商业价值体现在全球运输管理系统市场上，该市场在 2024 年的价值为 168 亿美元，预计到 2030 年将以 20.0% 的复合年增长率增长。[3] 尽管存在潜在的访问复杂性，例如数据所有权与客户或第三方承运商相关，但此工业数据的宝贵且稀有性使其成为寻求在物流优化方面获得竞争优势的人工智能买家的高需求资产。⚠ 尽职调查（有价值的数据，可协商访问）：运营数据可能存储在运输管理系统 (TMS) 或 ERP 中；特定装运细节的所有权可能在合同上与客户绑定；承运商绩效数据涉及第三方物流提供商 · 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 DutchGlobalLogistics 拥有稀有的专有数据集，详细介绍了端到端的物流运营，从多式联运货运交易到精细的设施级绩效指标。关于吞吐量和存储的核心时间序列数据是人工智能集成商开发下一代工业监控和优化解决方案的强大资产。在预计每年增长 20% 的运输管理系统 (TMS) 市场中，该数据集提供了构建人工智能所需的地面真实信息，以提高供应链可见性和运营效率。
See dimension details ↓- Dataset Specificity78
主导的“工业数据”，行业 mobility，2 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 Rarity70
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 Value74
适合工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求非常高，这得益于运输管理系统市场的显著增长，该市场正以 20.0% 的复合年增长率扩张。[3]
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
中等难度，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 License36
所有权=混合，许可=权利不明确
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 Surplus92
盈余=高 — 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 — Dutch Global Logistics 是一个理想的目标，因为它是一家可联系的中小型企业，专注于运营物流，很可能从其运输、仓储和海关活动中产生有价值的、休眠的数据，而没有迹象表明其核心产品是销售数据或情报。
- Deep Qualification60
✓ 通过 — Dutch Global Logistics 是一家货运代理和仓储服务提供商，这使得“工业运营数据集”的存在成为其 WMS 和运输运营的副产品是合理的。然而，除了通用的 FENEX 条件之外，缺乏具体的服务条款，无法对数据所有权和许可权得出任何结论。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
该公司持有全球空运、海运和陆运的详细表格日志，为训练优化复杂运输路线和预测运输时间的模型提供了关键的物流情报。
Industrial data
这种高稀有度的时间序列数据捕获了欧洲主要枢纽的精细运营绩效，包括吞吐量和库存水平，这对于构建和验证预测性维护和自动化人工智能至关重要。
business_records
这些历史文件包含第三方承运商的结构化绩效数据，为构建复杂的承运商选择和供应链风险评估模型提供了独特的来源。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Dutchgloballogistics Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Transportation Management System (TMS) market was valued at $16.8 billion in 2024, with a projected CAGR of 20.0% (2024-2030) (source: P&S Intelligence). [3]. Investment score 62.7/100 (confidence 0.49). Recommended action: Acquire.
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