Dataset opportunity
Gophr — 工业运营数据集机会
Gophr 持有的中等工业运营数据集，可用于工业监控和预测。
Score
48
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 = 2023 年为 71.6 亿美元，复合年增长率为 17.8%（来源：Grand View Research）
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
移动
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（个人身份信息审查）
Buyer persona
工业人工智能集成商
Gophr 的工业运营数据集提供了丰富的时间序列数据集合，包括事件流、专有地理数据以及来自其广泛的移动和物流运营的其他工业数据。该结构化数据集非常适合工业监控应用，使人工智能模型能够高精度地分析和预测车队效率、交付路线性能和运营模式。
该数据的商业价值体现在全球供应链分析市场，该市场在 2023 年的估值为 71.6 亿美元，预计到 2030 年将以 17.8% 的复合年增长率增长。[4] 虽然访问需要处理个人身份信息匿名化和专有数据考虑因素，但该数据集的高技术成熟度和结构化 API 访问使其成为寻求在快速扩张的物流和工业效率领域获得竞争优势的人工智能买家的宝贵且稀有资产。⚠ 尽职调查（有价值的数据，可协商访问）：包含需要匿名化以进行人工智能训练的个人身份信息（姓名、地址）；路线遥测数据是专有的，但交付内容归客户所有；通过 API 实现的高技术成熟度表明数据结构良好但受到保护 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Gophr 拥有高稀有度的专有数据集，详细说明了在密集城市环境中最后一英里物流运营的完整生命周期。关于交付绩效、车辆效率和碳排放的详细时间序列数据是工业人工智能集成商的关键资产。它直接支持开发复杂的工业监控和路线优化模型，目标是全球供应链分析市场，该市场正以 17.8% 的复合年增长率增长。
See dimension details ↓- Dataset Specificity90
主导的“工业数据”，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 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
人工智能买家需求异常高，这得益于供应链分析市场的强劲增长，预计该市场将以 17.8% 的复合年增长率增长，因为公司越来越多地采用数据驱动的策略来提高效率。[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=拥有，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，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 Audit75
⚠ 审查 — Gophr 的核心业务是销售物流即服务，包括用于交付预订和跟踪的开放 API，使其成为技术供应商，而不是休眠数据的持有者。问题：公司核心产品是物流技术平台，而不仅仅是快递服务；他们积极销售开放 API 以供企业集成交付服务，这构成了销售情报/数据服务。 [18, 21]；该公司将自己描述为“交付技术平台”，并将其产品描述为“交付指挥中心”，这是一种销售情报的形式。 [4, 21]
- Deep Qualification80
✓ 通过 — Gophr 是物流运营商，而不是数据销售商。其运营数据，富含时间序列和地理数据，是其核心快递业务的休眠副产品。该数据集是合理的且有价值的，但数据所有权是混合的，并且涉及 GDPR 下敏感的个人身份信息，使得访问复杂化。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<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>”
- “<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”
Geospatial data
此表格数据提供了英国主要城市多式联运车队的历史和实时路线数据，可用于城市物流网络和交通模式的建模。
Event streams
此时间序列证据捕获了详细的交付生命周期事件，包括交付失败模式和独特的门口停留时间指标，这对于训练预测和缓解运营瓶颈的模型至关重要。
Industrial data
此时间序列数据量化了每次交付的碳排放以及不同快递模式的相对效率，直接支持创建可持续且成本优化的物流人工智能。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Gophr 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 = $7.16B in 2023, CAGR 17.8% (source: Grand View Research). Investment score 48.0/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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