Dataset opportunity
Trunkrs — 移动遥测数据集机会
Trunkrs 持有的中等移动遥测数据集，可用于预测性维护和异常检测。
Score
72.7
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
Data Sharing Agreement
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)
Global Predictive Maintenance market = $14.09B in 2025, CAGR 34.14% (source: Mordor Intelligence)
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.
- 🧑💻Hiring a data role
积极招聘数据和分析职位以优化物流
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Profile
Dataset profile
Type
移动遥测数据集
Modality
时间序列
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
Industrial AI & maintenance-optimization vendors
Trunkrs 持有一个专门的时间序列 移动遥测数据集，该数据集源自其 100% 电动最后一英里配送车队。数据包括冷链（新鲜和冷冻）物流的详细事件流、地理数据和专有的物联网传感器数据，为开发和训练专门针对电动商用车辆和冷藏单元的预测性维护模型提供了丰富的基础。
全球预测性维护市场在 2025 年的估值为140.9 亿美元，预计将以 34.14% 的复合年增长率扩张。[4] 虽然访问需要应对匿名化个人身份信息（收件人地址）和专有物联网数据的复杂性，但该数据集结合了电动汽车和冷链遥测的独特组合，为在这个高增长市场中建立竞争优势提供了稀有且宝贵的资源。[4] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：包含需要匿名化的个人身份信息（收件人地址和姓名）；冷链（新鲜和冷冻）物流的专有物联网传感器数据；数据包括来自 100% 电动最后一英里车辆的车队遥测数据 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
公开证据证实 Trunkrs 运营着一个专业的物流网络，从其现代化车队生成专有的时间序列数据。该数据集结合了来自温控配送的物联网遥测数据与其不断增长的电动汽车车队性能数据，创造了一个稀有且有价值的资产。这直接符合为冷链物流和电动汽车车队构建预测性维护模型的工业人工智能供应商的需求，这是每年增长超过 34% 的市场中的一项关键需求。该数据为训练算法处理真实的运营绩效和故障信号提供了独特的机会。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，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 Demand95
人工智能买家需求异常高，这得益于预测性维护市场的快速扩张，该市场正以 34.14% 的复合年增长率增长。[4]
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 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 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 Orientation39
1 个数据需求信号（1 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，3 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 — Trunkrs 是一个绝佳的目标，因为它是一家荷兰中小型企业，其核心业务是包裹配送，作为其运营的副产品，它生成了大量的专有移动和物流数据，而它似乎并未出售这些数据。问题：该公司于 2023 年 3 月被 bpostgroup 的子公司 Dynalogic 收购。这可能会使决策复杂化或改变其在大型企业中的中小型企业地位； Trunkrs 采用“轻资产”模式，使用合作伙伴运营商及其车辆。虽然他们的软件平台生成并拥有整体路线。
- Deep Qualification90
✓ 通过 — Trunkrs 是一个物流数据持有者，拥有合理的移动遥测数据集，但由于敏感的个人身份信息，访问受到 GDPR 的限制，并且数据所有权是混合的，并受第三方条款（FENEX）的约束。
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/tW9z-WY-RDxIvkcnxV6BFE1c-hy7EJT7GxX7c8KvWqw/g:nowe:0:405/c:6720:3796/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9UcmFjdG9yX1N1cHBseV9TdG9yZWZyb250XzMtMS5qcGc=.webp" /></div></figure><p>The partnership adds to various last-mile upgrades the retailer has deployed in recent months.</p>”
- “<p>Le vaste Segro Centre Paris Les Gobelins aménagé en sous-sol dans le 13ème arrondissement accueille un autre locataire : Monoprix y implante un hub pour l’approvisionnement non-alimentaire de deux de ses magasins dans la capitale (Saint-Michel et Beaugrenelle, dans les 5 et 15ème). La cellule prise à bail par l’enseigne est d’environ 1.300 m² et bénéficie de […]</p> <p>L'article <a href="https://supplychainmagazine.fr/monoprix-installe-un-hub-chez-segro-dans-le-13eme-arr-parisien/">Monoprix installe un hub chez Segro dans le 13ème arr.parisien</a> est apparu en premier sur <a href="ht”
- “<p>Last-mile delivery of big items is slowing down as fewer houses change hands in a difficult real estate market. Carriers are trying to beat competitors in a slowing market with top-notch service and technology, but also need more scale to deal with vertically integrated retailers.</p> <p>The post <a href="https://www.freightwaves.com/news/weak-housing-market-hurts-big-and-bulky-last-mile-delivery">Weak housing market hurts big and bulky last-mile delivery</a> appeared first on <a href="https://www.freightwaves.com">FreightWaves</a>.</p>”
IoT / sensor data
该公司从其温控车辆生成物联网时间序列数据，这是专注于冷链资产正常运行时间的预测性维护模型的关键输入。
Event streams
Trunkrs 跟踪详细的配送事件流以衡量其高准时率，从而提供丰富的数据来源来模拟车辆健康对运营的影响并预测可能违反服务水平协议的故障。
Geospatial data
该公司战略性地转向100% 电动最后一英里车队，生成了非常有价值的遥测数据，这对于开发针对这一快速增长的车辆类别的预测性维护解决方案至关重要。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Trunkrs Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $14.09B in 2025, CAGR 34.14% (source: Mordor Intelligence). Investment score 72.7/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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