Dataset opportunity
Shippr — 移动事件数据集机会
Shippr 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
69
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)
全球移动数据分析平台市场 = 2024 年为 21.6 亿美元，复合年增长率为 18.1%。[2, 5]。
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
移动事件数据集
Modality
时间序列
Sector
移动
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
量化基金和需求预测 AI 团队
Shippr 持有的移动事件数据集结构为时间序列数据。这包括详细的 `api` 日志、实时的交付事件流、精确的地理数据以及相关的 `transaction_data`，使其特别适合 AI 预测应用，如需求预测和路线优化。
全球移动数据分析平台市场在 2024 年的估值为21.6 亿美元，预计将以 18.1% 的复合年增长率增长。[2, 5] 这个高增长市场凸显了 Shippr 多司法管辖区数据集的稀有性和价值。虽然访问需要处理 GDPR 敏感的 PII 并澄清法国、比利时和英国的数据所有权，但该资产的丰富性为 AI 买家提供了重大机会。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据涉及第三方交付合作伙伴和最终客户 PII（GDPR 敏感）。；路由数据与客户交付说明的所有权需要澄清；在多个司法管辖区（法国、比利时、英国）运营，数据法规各不相同。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Shippr 拥有一个专有的、高频的移动事件数据集，该数据集由超过 5,000 家商业客户及其实时交付运营产生。这些数据为城市物流和商业活动提供了直接信号，使量化基金和 AI 团队能够构建强大的预测模型来预测需求和供应链动态。在全球移动分析市场年增长率超过 18% 的情况下，该数据集为欧洲主要枢纽的经济活动提供了稀有的、能产生超额收益的优势。
See dimension details ↓- Dataset Specificity90
主导的“事件流”，行业移动，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 Volume58
4 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
适合预测
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
AI 买家对丰富移动数据的需求强劲，这得益于移动数据分析平台市场预测的 18.1% 的复合年增长率，用于预测等应用。[2, 5]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
开放/API 访问
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 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 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 Surplus92
盈余=高 — 专有数据超出已货币化的部分
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 — Shippr 是一个绝佳的目标，因为它是一家运营同日 B2B 交付物流平台的中小型企业，该平台作为其核心运营业务的副产品生成有价值的移动数据。问题：该公司被描述为物流提供商和开发“基于网络的交付管理解决方案”的技术公司。[9] 确认他们的身份至关重要；印度有一家名为 Shippr 的独立公司，成立于 2014 年，可能会造成混淆。[7, 11] 目标公司是成立于 2 的比利时公司
- Deep Qualification80
✓ 通过 — Shippr 是一个数据持有者，拥有作为其 B2B 交付平台副产品生成的连贯移动事件数据集，但数据所有权是混合的，并且由于 GDPR 和独立交付合作伙伴作为单独的数据控制器，访问变得复杂。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
API access
该公司的公共 API 展示了与 Shopify 等商业 ERP 和电子商务系统的结构化数据交换，表明了用于交易事件的高质量、自动化数据捕获管道。
Event streams
这证实了来自超过 5,000 家公司的网络存在高保真事件流，捕获了对时间序列预测模型至关重要的实时跟踪数据。
Geospatial data
该数据集包含来自巴黎、布鲁塞尔和伦敦等主要欧洲经济中心的详细地理数据，为基于位置的分析提供了对城市物流模式的精确视图。
Transaction data
证据表明存在详细的交易数据，该数据按高价值行业（如医疗和食品批发）对交付进行分类，从而为商业供应链活动提供具体见解。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Shippr Mobility Event — a Moderate mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: Global Mobility Data Analytics Platforms Market = $2.16 billion in 2024, CAGR 18.1% (source: Global Market Insights Inc.). [2, 5]. Investment score 69.0/100 (confidence 0.56). Recommended action: Data Sharing Agreement.
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