Dataset opportunity
Cretschmarcargo — 公共采购数据集机会
Cretschmarcargo 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
70.2
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)
全球采购分析市场在 2022 年的估值为 38 亿美元，预计在 2023-2032 年期间的复合年增长率为 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.
Profile
Dataset profile
Type
公共采购数据集
Modality
文本
Sector
mobility
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 需明确许可权
Buyer persona
GovTech 和采购情报供应商
Cretschmarcargo 持有一个有价值的公共采购数据集，其模态为文本，源自其在物流领域的广泛运营历史。这些数据通过采购、工业和物联网数据流得到证明，提供了对历史招标规范、定价结构和客户需求的深入见解，非常适合开发复杂的招标情报人工智能模型。
全球采购分析市场在 2022 年的估值为 38 亿美元，预计在 2023 年至 2032 年期间的复合年增长率 (CAGR) 为 23%。[2] 尽管存在访问复杂性——例如需要匿名化来自遗留 TMS/WMS 的客户装运详细信息并处理海关法规——但该数据对于在招标竞标中创造竞争优势的稀有性和战略价值非常可观。⚠ 尽职调查（有价值的数据，可协商的访问权限）：运营数据与需要匿名化的客户装运详细信息交织在一起；数据存储在遗留的运输管理系统 (TMS) 和仓库管理系统 (WMS) 中；跨境货运数据涉及复杂的海关监管限制 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Cretschmarcargo 持有其欧洲物流业务直接生成的国际贸易和清关记录的专有数据集。这些文本数据是招标情报平台的关键资产，使 GovTech 和采购供应商能够对复杂的贸易流进行建模和预测。在全球采购分析市场预计每年增长 23% 的情况下，该数据集提供了对公共和私营部门供应链的独特运营视角。
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 Freshness82
实时/流式传输
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，这得益于在快速扩张的**采购分析**市场中对数据驱动洞察的迫切需求，该市场正以**23% 的复合年增长率**增长。[2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
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 Orientation22
0 数据胃口信号（0 类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高，2 个近期外部信号 — 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 Audit92
✓ 良好目标 — 一家历史悠久的中型德国物流和货运公司，其核心业务是实体运输，使其运营数据成为有价值的、未被充分利用的副产品。问题：该公司是几个大型物流网络（例如 System Alliance Europe）的一部分，这可能会使数据所有权或独家性复杂化；关于“公共采购数据集”的初步提示在研究中并未得到证实，并且与其核心业务无关。
- Deep Qualification80
✓ 通过 — Cretschmarcargo 是一家传统的物流服务提供商，而不是数据经纪人。作为其业务副产品的“公共采购数据集”的存在是合理的，但这些数据在 GDPR 下高度敏感，并且与客户运营交织在一起，没有数据商业化的证据。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>SummaryView Transcript Trucking leaders David Parker (Covenant Logistics) and Max Fuller (U.S. Xpress) unpack the state of the freight market, from the driver shortage to nuclear verdicts. Discover why market stability and tort reform are crucial for carrier survival and what’s driving the “supercycle” in this candid discussion. A Utah jury awarded an $86 million […]</p> <p>The post <a href="https://www.freightwaves.com/news/nuclear-verdicts-86m-awarded-despite-no-negligence-trucking-crisis">Nuclear Verdicts: $86M awarded despite NO negligence? [Trucking Crisis]</a> ”
- “Emerging technologies offer massive potential, but the industry has a persistent data integration problem. Fleet executives have to connect disparate systems that don’t speak the same language.”
IoT / sensor data
这些证据表明存在来自货物实时跟踪的粒度时间序列数据，为验证贸易路线和建模供应链物流提供了宝贵的资产。
Industrial data
持有者从其专业物流中心生成时间序列数据，包括危险品数据，这对于理解高价值采购链中的合规性和风险至关重要。
Procurement / tenders
该数据集包含详细的清关和国际贸易流动的广泛文本记录，为培训招标预测模型提供了原始的运营情报。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Cretschmarcargo 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 was valued at $3.8 Billion in 2022, forecast to grow at a CAGR of 23% (2023-2032) (source: Global Market Insights, Inc.). [2]. Investment score 70.2/100 (confidence 0.49). Recommended action: Acquire.
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