Dataset opportunity
Pme Express — 移动事件数据集机会
Pme Express 持有的中等移动事件数据集，可用于预测和异常检测。
Score
68.3
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
全球交通运输分析市场 = 2024 年为 126.1 亿美元，复合年增长率 23.8%（来源：Grand View Research）。[15]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-11
Distribution automobile : l’heure délicate des successions familiales
journalauto.com ↗ - 📰press2026-06-11
Stellantis dope une Charger avec une batterie solide
journalauto.com ↗ - 📰press2026-06-10
Harley-Davidson to reshore Revolution Max engine production
manufacturingdive.com ↗ - 📰press2026-06-10
Razor reshapes supply chain to weather Trump-era China tariffs
manufacturingdive.com ↗
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
移动事件数据集
Modality
时间序列
Sector
mobility
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（PII 审查）
Buyer persona
Quant funds & demand-forecasting AI teams
Pme Express 持有一个宝贵的移动事件数据集，结构为时间序列。该数据集独特地结合了 `event_streams`（事件流）、`geo_data`（地理数据）和 `transaction_data`（交易数据），提供了对移动运营的全面视图。其精细、带时间戳的性质使其非常适合 AI 买家的预测用例，能够开发模型来预测交付时间、优化路线和预估需求波动。
该数据服务的市场——交通运输分析，规模庞大且增长迅速，2024 年市场价值为126.1 亿美元，预计复合年增长率 (CAGR) 为 23.8%。[15] 虽然数据包含需要严格匿名化的个人身份信息 (PII)，并且可能需要从遗留的运输管理系统 (TMS) 进行整合，但其运营的稀有性和深度备受追捧。对于 AI 买家而言，在物流领域获得预测准确性的战略价值证明了应对这些访问复杂性的投资是值得的。⚠ 尽职调查（有价值的数据，可协商的访问权限）：包含需要严格匿名化的个人身份信息 (PII)（发件人/收件人姓名和地址）；数据可能存储在遗留的运输管理系统 (TMS) 中；运营日志可能需要从不同的区域配送中心进行整合 · 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 Pme Express 拥有一个专有的高频数据集，通过时间序列事件流、地理贸易流和历史运输量捕捉欧洲快递货运的脉搏。这些高稀有度数据是量化基金和 AI 团队用于预测经济活动和供应链变化的复杂预测模型的直接输入。在一个快速增长的交通运输分析市场（预计 2024 年为 126.1 亿美元）中，该数据集为产生超额收益和优化物流提供了独特的信息优势。
See dimension details ↓- Dataset Specificity90
主导的 'event_streams'（事件流），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 Forecasting
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
出行即服务 (MaaS) 市场是 AI 驱动的需求预测移动数据的主要消费者，预计从 2025 年到 2032 年的复合年增长率将达到 33.65%。[6]
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 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
所有权=已拥有，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 个数据需求信号（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，4 个近期外部信号 — 超出已货币化数据的专有数据
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 Audit100
✓ 良好目标 — PME Express 是一个绝佳的目标，因为它是一家运营中的快递运输和物流中小企业，拥有自己的车队，作为其核心业务的副产品生成专有移动数据，并且没有迹象表明会出售这些数据。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
此证据类型包含跟踪货件交付事件和时间戳的时间序列数据，为监控经济活动的预测模型提供高频信号。
Geospatial data
此表格数据详细介绍了货运的专有始发地-目的地对，揭示了欧洲关键的商业贸易流模式，用于供应链分析。
Transaction data
此表格数据提供了按行业部门细分的历史运输量和包裹详细信息，实现了精细的、特定行业的需求预测。
Marketplace
Dataset details
Geographic coverage
Europe
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, Event Streams, Geo Data, Transaction Data
License
One-time license for AI forecasting and related transportation analytics use cases, subject to strict PII anonymization and usage restrictions.
Personal data
Contains PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This proprietary, high-rarity mobility event dataset offers a unique time-series view of European express freight, directly feeding high-demand AI forecasting use cases in the rapidly growing transportation analytics market. The inclusion of PII necessitates robust anonymization, impacting liquidity but underscoring the data's sensitivity and value.
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Pme Express Mobility Event — a Moderate mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: Global Transportation Analytics market = $12.61B in 2024, CAGR 23.8% (source: Grand View Research). [15]. Investment score 68.3/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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