Dataset opportunity
Paack — 移动遥测数据集机会
Paack 持有的海量移动遥测数据集，可用于预测性维护和异常检测。
Score
71.1
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
56%
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)
全球汽车预测性维护市场 = 2024 年为 46.6 亿美元，复合年增长率为 17.5%（2025-2034 年）（来源：Global Market Insights Inc.）
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-30
Horizon élargi pour Colis Privé + Paack Iberia + Paack France
supplychainmagazine.fr ↗
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
移动遥测数据集
Modality
时间序列
Sector
移动
Volume
大型
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（需审查个人身份信息）
Buyer persona
工业人工智能与维护优化供应商
Paack 拥有一个宝贵的出行遥测数据集，其中包含其配送车队的高容量、实时时间序列数据。这些数据包括地理数据、物联网数据以及车辆执行日志中的事件流，为预测性维护人工智能用例提供了必需的原材料，能够预测车辆组件故障并优化车队正常运行时间。
全球车辆预测性维护市场规模巨大且增长迅速，表明买家对此应用表现出浓厚的兴趣。该市场在 2024 年的估值为 46.6 亿美元，预计将以 17.5% 的复合年增长率扩张。[3] 虽然访问此数据集需要应对高 GDPR 敏感性以及与零售客户共享数据所有权的问题，但其稀有性和对高增长市场的直接适用性使其成为寻求降低运营成本和提高车队可靠性的 AI 买家的引人注目的资产。[3] ⚠ 尽职调查（有价值的数据，可协商访问）：由于收件人地址和个人联系方式，GDPR 敏感性高；数据所有权可能与零售客户（例如 MediaMarkt、Inditex）共享，涉及包裹内容；专有路由算法是核心知识产权，但原始执行日志可能处于休眠状态。· 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 Paack 拥有一个大规模的专有遥测数据集，捕获了商用车辆的实际运营压力。这些丰富的时间序列和物联网数据正是工业人工智能供应商构建和验证先进预测性维护模型所需的。在年增长率超过 17% 的车辆维护市场中，此数据集提供了一个难得的机会来训练能够预测组件故障、优化物流运营和减少停机时间的算法。
See dimension details ↓- Dataset Specificity90
主导的'物联网数据'，出行行业，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 Volume74
4 个证据命中，明确提及数据量
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
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
AI 买家需求旺盛，这得益于在以强劲的 17.5% 复合年增长率增长的市场中优化车队运营的需求。[3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
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 Strength74
4 种证据类型，4 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 敏感
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 个数据需求信号（0 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，5 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 Audit67
✓ 良好目标 — Paack 是一家大型、快速增长的物流运营商，其核心业务是实体配送，这使其大量的运营和遥测数据成为有价值的、未被货币化的副产品。问题：该公司规模庞大且在增长，拥有 800-1100 多名员工和大量资金，这超出了理想的中小型企业目标。 [5, 6, 12]；它最近接受了 CEVA Logistics 的收购协议，这可能会改变其结构，使其成为一个更大、更不透明的集团的一部分。
- Deep Qualification80
✓ 通过 — Paack 是一家技术驱动的物流提供商，因此存在一个“出行遥测数据集”作为其核心配送服务的休眠副产品是高度可信的。[1, 4, 11] 然而，由于客户的个人身份信息和可能复杂的**所有权**，这些数据受到重大的 GDPR 敏感性限制。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/QYU0PQvsZZJDY0oboip3buQPRMNaW7YWi7gKQeQsiK0/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS8yLTdMLXR1cmJvLWVuZ2luZS1hc3NlbWJseS1TcHJpbmctSGlsbC5qcGc=.webp" /></div></figure><p>The Spring Hill plant will produce more truck models as part of the company’s approximately $9 billion U.S. manufacturing footprint expansion.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/MK0iG5P7f6kN4Aod9QD0yZnAZGPEw_DA0eOYbM7Gr0s/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0xNTIzNDE3NDA4LmpwZw==.webp" /></div></figure><p>After grounding its entire MD-11 fleet in November, the carrier began reintroducing the aircraft in May, CEO Raj Subramaniam said.</p>”
- “Ayvens annonce la nomination d’Aurélie Lemaire au poste de directrice commerciale France. Elle succède à Guillaume Maureau, qui reste temporairement directeur général adjoint.”
Geospatial data
该数据集包括来自数百万次配送的历史和实时路线数据，提供了对地形和距离对车辆磨损影响进行建模所需的关键地理空间背景。
Event streams
这些证据指向了记录配送过程每个阶段的精细时间序列事件流，提供了构建稳健故障预测算法所必需的详细运营历史。
IoT / sensor data
该数据集包含来自自动化分拣中心和物流枢纽的物联网数据，提供了与装载、怠速和周转周期相关的车辆压力信号，丰富了预测性维护模型。
Data-volume signal
证据证实了巨大的运营规模，每月为蓝筹客户提供数百万次配送，这验证了该数据集在训练企业级人工智能方面的深度和商业相关性。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for predictive maintenance AI use case development and validation.
Personal data
No 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 dataset's high value is driven by its proprietary, real-time telemetry from a large commercial fleet, crucial for AI-powered predictive maintenance. Strong demand is indicated by the rapidly growing global vehicle predictive maintenance market.
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
Paack Mobility Telemetry — a Large mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global predictive maintenance for vehicles market = $4.66B in 2024, CAGR 17.5% (2025-2034) (source: Global Market Insights Inc.). Investment score 71.1/100 (confidence 0.56). Recommended action: Data Sharing Agreement.
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