Dataset opportunity
Endurance Logistique — 工业运营数据集机会
由 Endurance Logistique 持有的中等工业运营数据集，可用于工业监控和预测。
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
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)
全球供应链分析市场 = 2025 年为 110 亿美元，复合年增长率为 15.85%。
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
工业运营数据集
Modality
时间序列
Sector
mobility
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
工业 AI 集成商
Endurance Logistique 持有源自其核心工业运营的高价值时间序列数据集，涵盖精细化的 `event_streams`、`industrial_data` 和 `transaction_data`。这些数据提供了仓库管理 (WMS) 和运输管理 (TMS) 活动的详细实时记录，使其非常适合用于工业监控用例的 AI 模型训练和验证，直接展示运营效率和资产绩效。
该数据是全球供应链分析市场的战略资产，该市场在 2025 年的估值为110 亿美元，预计将以15.85% 的复合年增长率增长。尽管存在访问复杂性——例如需要对终端客户的 PII 进行大量匿名化处理、处理第三方承运商条款，以及数据最初分散在WMS/TMS工具中——但其稀有性和运营深度使其成为寻求开发先进监控和优化解决方案的 AI 买家的优质资源。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据包含终端客户的 PII（姓名、地址），需要大量匿名化处理；运输和承运商绩效数据可能涉及第三方承运商条款；运营数据分散在其 WMS/TMS 工具中 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Endurance Logistique 拥有专有的时间序列数据流，详细说明了其端到端的工业物流运营，从仓库管理到最终发货。该数据集是工业 AI 集成商寻求构建和验证工业监控和预测优化模型的首选资产。在一个快速增长的供应链分析市场（预计到 2025 年将达到 110 亿美元）中，这种高稀有度的数据为训练能够优化库存、预测发货事件和提高整体运营弹性的 AI 提供了直接的真实世界数据源。
See dimension details ↓- Dataset Specificity90
主导的 'industrial_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
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI 买家需求非常高，这得益于供应链分析市场的快速增长，该市场正以 15.85% 的复合年增长率扩张。
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 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 Orientation56
2 个数据胃口信号（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 — 超出已货币化部分的专有数据
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 Audit92
✓ 良好目标 — 这家法国电子商务物流中小企业是一个很好的目标，因为它作为核心业务的副产品产生了大量的运营数据，并且似乎没有将其作为产品出售。问题：该公司拥有一家集成的网络代理公司 'Endurance Développement'，为客户创建电子商务网站。这项服务与其物流互补；该公司提到使用自己的 IT 工具（EDI 和 WMS）和数据同步模块，但这似乎是为了内部效率和客户集成，
- Deep Qualification80
⚠ 需要审查 — Endurance Logistique 是一家 3PL 服务提供商，这使得数据成为其代表客户运营的副产品，而客户可能拥有这些数据，这使任何数据货币化工作都变得复杂。[数据归公司客户所有]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
此表格数据详细说明了电子商务订单履行情况，捕获了订单准备和多承运商运输事件，这些事件对于分析履行效率和承运商绩效很有价值。
Event streams
这是一个实时货运跟踪数据的时序馈送，包括与核心 WMS/TMS 系统的接口，对于构建交货时间预测模型和物流监控至关重要。
Industrial data
此时间序列数据提供了内部仓库运营的详细视图，包括库存管理、货物接收和仓储优化，从而支持可提高资产利用率和库存流的 AI 应用。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Endurance Logistique Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Supply Chain Analytics market = $11.0 Billion in 2025, CAGR 15.85% (source: IMARC Group). Investment score 66.1/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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