Dataset opportunity
Imperativelogistics — Mobility Event Dataset Opportunity
Imperativelogistics 持有的中等规模移动事件数据集，可用于预测和异常检测。
Score
66.1
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
49%
Action
Partnership (group-level)
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 2025 年的估值为 102 亿美元，预计复合年增长率为 15.8%（2026-2035 年）。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-09-06
Borderlands Mexico: Trucker protest raises stakes in Mexico-US B-1 visa dispute
freightwaves.com ↗ - 📰press2026-09-04
Logistics provider accuses Alabama carrier of raiding its workforce, stealing trade secrets
freightwaves.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.
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 — 许可权待澄清
Buyer persona
Quant funds & demand-forecasting AI teams
Imperativelogistics 持有一个专有的移动事件数据集，结构为时间序列。该数据集汇集了内部业务记录、实时事件流和地理数据，提供了对聚合车道性能的详细见解。其模式非常适合训练用于预测应用的 AI 模型，例如预测运输时间、识别潜在延误和优化路线。
此类数据的价值体现在全球供应链分析市场，该市场在 2025 年的估值为102 亿美元，预计将以 15.8% 的复合年增长率增长。[1] 虽然访问需要应对因私募股权收购和 DLS Worldwide 等品牌之间数据碎片化而产生的公司结构，但聚合绩效数据的专有性质使其成为寻求在物流优化方面获得竞争优势的买家的宝贵资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据可能分散在多个品牌中，包括 DLS Worldwide 和 Imperative Expedited；特定货物细节的所有权可能受托运人合同的限制，但聚合车道和绩效数据是专有的；由私募股权（LaSalle Capital）收购并与其他实体合并，因此需要进行公司导航。· 公司：Imperative Logistics Group 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 Imperativelogistics 拥有专有的、稀有度高的数据集，详细说明了多式联运物流事件，包括详细的运输时长和跨境绩效。这类时间序列数据受到量化基金和 AI 团队的追捧，用于支持预测供应链中断和效率的复杂预测模型。在全球供应链分析市场预计每年增长超过 15% 的情况下，该数据集为建模需求和承运商绩效提供了独特的竞争优势。
See dimension details ↓- Dataset Specificity78
占主导地位的“event_streams”，行业 mobility，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 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 Value74
适用于 Forecasting
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI 买家需求旺盛，这得益于供应链分析市场（复合年增长率 15.8%）的显著增长，其中**预测**是优化和效率的关键能力。[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，Imperative Logistics Group 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 License70
所有权=公司所有，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Imperative Logistics Group 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 数据胃口信号（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，2 个近期外部信号 — 超出已货币化的专有数据
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 — Imperative Logistics 是一家私营的中型运营物流公司，其核心业务是货运代理，产生大量专有的航运和追踪数据作为副产品，使其成为理想目标。问题：Preqin 上的一份第三方简介模糊地将其描述为“技术解决方案提供商”，并采用订阅模式，这与其他所有证据相冲突；提示中提到的“移动事件数据集”并未公开列出，表明它是一个休眠的数据资产。
- Deep Qualification80
⚠ 需要审查 — 目标是一家物流服务提供商，其业务模式会生成指定的数据集，但其隐私政策明确禁止出售个人信息，这对数据许可构成了重大限制。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
business_records
这些业务记录包含关于时效性货运的结构化详细信息，提供了关于运输时长和延误因素的地面实况数据，这对于训练风险评估模型至关重要。
Geospatial data
这些表格数据提供了关于美国-墨西哥-加拿大航线的专有情报，提供了对海关清关时间和承运商效率的独特视角，以优化北美贸易路线。
Event streams
这些事件流包含核心时间序列数据，捕获了跨全球运输模式的历史和实时状态更新，直接为预测预测模型提供支持。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Imperativelogistics 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 $10.02 billion in 2025, with a projected CAGR of 15.8% (2026-2035) (source: Market Research Future). [1]. Investment score 66.1/100 (confidence 0.49). Recommended action: Partnership (group-level).
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