Dataset opportunity
Envo Logistics — 移动活动数据集机会
由 Envo Logistics 持有的中等规模物流事件数据集，可用于预测和异常检测。
Score
68.7
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
42%
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)
全球供应链分析市场在 2022 年的估值为 61.2 亿美元，预计将以 17.8% 的复合年增长率（2023-2030 年）增长（来源：Grand View Research）。[1]
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.
- ✨Signal
专注于技术驱动的履行和实时跟踪系统
source ↗
Profile
Dataset profile
Type
物流事件数据集
Modality
时间序列
Sector
物流
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待澄清
Buyer persona
量化基金和需求预测人工智能团队
Envo Logistics 提供一个结构为时间序列数据的出行事件数据集，该数据源自专有的 `event_streams` 和 `geo_data`。此数据集捕获了来自广泛物流操作的详细事件序列和地理坐标，使其非常适合用于人工智能驱动的预测应用，例如预测交付时间、路线优化和需求规划。
该数据的价值在全球供应链分析市场中得到凸显，该市场在 2022 年的估值为61.2 亿美元，预计将以 17.8% 的复合年增长率增长。[1] 这个高增长市场强调了用于创建预测性人工智能的精细化运营数据的战略重要性和稀缺性。虽然访问需要克服某些复杂性——包括运营数据的专有性质、需要对交付记录中的 PII 进行匿名化以及潜在的客户合同条款——但该资产在构建竞争性预测模型方面的价值使其成为一个引人注目的收购目标。⚠ 尽职调查（有价值的数据，可协商的访问权限）：运营数据是专有的，但交付记录包含需要匿名化的 PII（姓名/地址）；客户合同可能包含有关货运元数据使用条款的条款。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Envo Logistics 拥有一项专有数据集，详细说明了在途物流和仓库内运营效率。这种实时交付绩效和精细化库存指标的结合为预测模型提供了强大的信号。量化基金和需求预测团队可以利用这些数据来预测供应链瓶颈和经济活动，从而在全球供应链分析市场中获得关键优势，该市场预计将以近 18% 的年增长率增长。这种时间序列数据的稀缺性和深度使其成为任何人工智能驱动战略的高价值资产。
See dimension details ↓- Dataset Specificity78
主导的 'event_streams'，出行行业，2 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 Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume46
2 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 Value74
适合预测
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求旺盛，这得益于供应链分析市场的快速增长，该市场正以 17.8% 的复合年增长率扩张，因为公司越来越多地寻求从物流数据中获得预测性洞察。[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 Feasibility44
低难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength50
2 种证据类型，2 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
所有权=已拥有，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 Orientation39
1 个数据胃口信号（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，5 个近期外部信号 — 已货币化的专有数据之外的数据
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 — Envo Logistics 是一家位于西班牙/欧洲的真实运营货运和物流公司，其车队产生的数据（例如 GPS 跟踪）似乎是其核心业务的副产品，使其成为一个良好的目标。问题：确切的公司规模（员工人数）不易获得，因此基于网站呈现的判断，中小企业地位是基于推测的；初始提示提到了“出行事件数据集”，但在其网站上未找到此特定产品名称。
- Deep Qualification70
✓ 通过 — 该目标是西班牙和欧洲的标准物流服务提供商，使得“出行事件数据集”具有合理性。然而，该网站只是一个简单的展示页面，没有具体的公司信息、新闻或触发因素，并且在没有明确的服务条款的情况下，数据所有权不明确。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “En remportant l'appel d'offres chez Volvo pour couvrir les voitures d'occasion revendues sous le label de la marque, WTW NSA a encore franchi un palier sur le marché français de la garantie automobile. Gregory Viollet, le directeur d'activité, revient sur ce dossier et révèle les prochaines étapes du plan de croissance.”
- “Tribune - Le futur règlement européen sur le verdissement des flottes se discute à coups de quotas et d'immatriculations. Pourtant, les premiers effets de cette transformation sont déjà visibles sur le marché du véhicule d'occasion. Décryptage d'un basculement déjà engagé selon Fabien Ravalison, directeur secteur privé chez Agorastore, spécialiste des enchères.”
- “<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>”
Geospatial data
该公司生成详细说明其分销网络中实时跟踪和交付绩效的表格数据，为复杂的供应链模型提供直接的物流效率信号。
Event streams
此时间序列数据捕获精细的仓库运营，包括库存周转和处理时间，为预测分析提供了供应链速度的领先指标。
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 AI-driven forecasting and supply chain analytics applications.
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 proprietary, real-time mobility event dataset offers high value for AI-driven supply chain forecasting, tapping into a rapidly growing market. Its rarity and direct operational insights justify a premium valuation.
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
Envo Logistics Mobility Event — a Moderate mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: Global Supply Chain Analytics market was valued at USD 6.12 billion in 2022, projected to grow at a 17.8% CAGR (2023-2030) (source: Grand View Research). [1]. Investment score 68.7/100 (confidence 0.42). Recommended action: Acquire.
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