Dataset opportunity
Denholm Goodlogistics — 法规记录数据集机会
Denholm Goodlogistics 持有的中等规模法规记录数据集，可用于法规 RAG 和合规 Copilots。
Score
69.4
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
合作（集团层面）
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)
全球供应链可见性软件市场 = 2025 年为 25 亿美元，复合年增长率为 17.6%。
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
法规记录数据集
Modality
文本
Sector
移动
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待澄清
Buyer persona
RegTech 和合规 AI 供应商
Denholm Goodlogistics 持有文本模态的法规记录数据集，以 `event_streams`、`geo_data` 和 `regulatory` 文件为证。这些数据提供了合规和运营事件的详细、真实记录，非常适合为移动和物流行业的法规 RAG 模型进行训练和接地。
这些数据对于供应链可见性软件市场至关重要，该细分市场在 2025 年的估值为25 亿美元，预计将以17.6% 的复合年增长率增长。[1] 虽然访问需要应对客户数据匿名化、母公司批准以及与专有 Lighthouse 平台重叠等复杂性，但该数据集的价值通过这种显著的市场增长和其稀有性得到凸显，为人工智能驱动的合规解决方案提供了独特的竞争优势。⚠ 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货运记录交织在一起；数据访问可能需要母公司 Denholm Group 的批准；专有的 Lighthouse 平台已将部分可见性数据货币化 · 公司：J. & J. Denholm Limited 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Denholm Goodlogistics 拥有一个专有的运营数据集，详细说明了全球贸易法规的实际应用。这是 RegTech 和合规 AI 供应商构建下一代法规 RAG 系统的关键资产。在增长至 25 亿美元的供应链可见性市场中，该数据集提供了连接海关和关税规则与实体物流所需的独特、高稀有度的文本数据，提供了独特的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的“法规”，行业移动，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
适用于法规 RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand80
AI 买家需求强劲，这得益于在快速增长的供应链可见性市场（17.6% 的复合年增长率）中对合规自动化和风险缓解的需求。[1]
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 Feasibility15
中等难度，J. & J. Denholm Limited 的子公司
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 Independence50
J. & J. Denholm Limited 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation73
3 个数据需求信号（3 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，2 个近期外部信号 — 超出已货币化范围的专有数据
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 — 这是一个有吸引力的目标；它是一家物流和货运代理公司，拥有真实的运营业务，作为副产品生成专有数据（运输、海关、仓储），并且没有证据表明他们目前销售这些数据或相关情报。问题：该公司是 Denholm Global Logistics 和 Good Logistics 于 2024 年 1 月的近期合并。[1, 12]；它是较大的 Denholm Group 的一部分，Denholm Group 是一个重要的实体（营业额 4.29 亿英镑，员工 1500+），因此它可能不像独立的 S
- Deep Qualification70
✓ 通过 — 该目标是一家传统的 3PL/4PL 服务提供商，这使得法规数据集具有合理性，但与客户数据交织在一起，并且很可能通过其现有的“Connect”平台进行货币化，而不是作为休眠资产持有。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>Our Adam Clermont writes on LinkedIn:<br /> I spent years as a trial attorney in the United States. I tried, mediated, and arbitrated hundreds of personal injury cases. And I can tell you with near certainty what happened in the C.H. Robinson case before the jury ever sat down.<br /> A computer likely told them not to settle.<br /> On March 25, 2021, a tractor-trailer operated by a small carrier called Lupus Superior rear-ended stopped traffic ...</p> <p>The post <a href="https://theloadstar.com/ch-robinson-the-most-expensive-computer-error-in-freight-history-wasnt-ai-it-was-a-settlement-ca”
- “<p>Distributeur en ligne de panneaux et kits solaires pour le résidentiel fondé dans l’Hérault en 2018, Allo Solar s’est doté d’un nouveau site logistique de 4.000 m² à Bessans, près de Béziers. Pour y gagner en capacité d’orchestration de différents modes de préparation de commandes, Allo Solar a décidé d’y déployer la solution Speed WMS […]</p> <p>L'article <a href="https://supplychainmagazine.fr/allo-solar-optimise-sa-gestion-de-flux-avec-speed-wms/">Allo Solar optimise sa gestion de flux avec Speed WMS</a> est apparu en premier sur <a href="https://supplychainmagazine.fr">Supply Chai”
Event streams
这些时间序列数据跟踪历史货运时间，为物流规划者提供背景信息，以对风险进行建模，并将承运商绩效与实际延误进行基准比较。
Regulatory records
这些关于清关流程和关税分类的广泛文本记录是 RegTech 公司构建人工智能以实现国际贸易合规自动化和降低风险的核心资产。
Geospatial data
这些关于港口和码头效率的专有表格数据为预测延误提供了真实层，直接将港口拥堵等运营瓶颈与货运结果联系起来。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Denholm Goodlogistics Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global Supply Chain Visibility Software Market = $2.5 billion in 2025, CAGR 17.6% (source: Market.us). Investment score 69.4/100 (confidence 0.49). Recommended action: Partnership (group-level).
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