Dataset opportunity
Evolvefulfilment — 工业运营数据集机会
Evolvefulfilment 持有的中等规模工业运营数据集，可用于工业监控和预测。
Score
66.6
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)
全球制造业人工智能市场 = 2023 年为 38 亿美元，复合年增长率为 45%（来源：Market.us）
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
零售
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
工业人工智能集成商
Evolvefulfilment 持有一个全面的工业运营数据集，该数据集结构为时间序列数据，源自 `event_streams`、`industrial_data` 和 `transaction_data`。来自实时零售履约环境的这些精细数据非常适合工业监控人工智能用例，支持预测性维护、流程优化和运营异常检测等应用。
全球制造业人工智能市场在 2023 年的估值为 38 亿美元，预计将以惊人的 45% 的复合年增长率增长。[8] 尽管存在数据访问复杂性，例如需要严格匿名化的个人身份信息 (PII)，但该数据集的价值是巨大的。它特别包括汇总的承运商绩效指标，这是一个高价值的休眠资产，为买家提供了一个难得的机会，让他们在一个快速扩张的市场中获得经过验证的真实运营智能。⚠ 尽职调查（有价值的数据，可协商的访问权限）：包含需要严格匿名化以供人工智能使用的个人身份信息（姓名、送货地址）；运营数据是专有的，但具体的订单详情在合同上与电子商务客户绑定；汇总的承运商绩效指标是一个高价值的休眠资产。· 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 Evolvefulfilment 拥有一个专有数据集，详细说明了从仓库内活动到最后一英里交付的完整履约生命周期。该数据包括物理流程（如拣货和包装）的高价值时间序列日志，非常适合训练工业监控和流程优化人工智能。对于人工智能集成商来说，这是一个难得的机会，可以获取真实的运营数据，为人工智能在制造业市场构建解决方案，该市场从 2023 年的 38 亿美元估值开始，正以 45% 的复合年增长率增长。
See dimension details ↓- Dataset Specificity90
主导的'industrial_data'，零售行业，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 条证据命中
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 Demand95
人工智能买家需求极高，这得益于人工智能在制造业市场的爆炸式增长，该市场正以 45% 的复合年增长率扩张。[8]
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
低难度，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 条命中
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 个数据需求信号（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，5 个近期外部信号 — 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 Audit100
✓ 良好目标 — Evolve Fulfilment 是一家总部位于英国的 3PL 和电子商务履约公司，其核心业务是运营物流，这使得其生成的运营数据成为宝贵的副产品，并且非常适合 ICP。
- Deep Qualification80
⚠ 需要审查 — 目标是一个典型的数据持有者。作为一家 3PL 电子商务履约提供商，它处理大量的运营和客户数据，但并不将其作为核心产品出售。数据所有权与其客户绑定，并且许可受到限制。[数据归公司客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/sxyEB0Qrc32AwU9V3XQQS3lB-wKjhbCljqJHl0fweZs/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0yMjgyMDY0ODg0LmpwZw==.webp" /></div></figure><p>The U.S., Mexico and Canada will continue negotiating about potential adjustments to the trilateral free trade agreement, which will remain in place until at least 2036.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/Q_GVvEnIzFCljaYmZGCUSTKNp7oVP0IKCScaqOi4OIg/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0yMjM0MDA2NjczLmpwZw==.webp" /></div></figure><p>The overall economy grew for the 20th month in a row, but the Iran war and price volatility are still major concerns for manufacturers.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/b4426jrapKwQEQhj38HQgmuevoqs_LGrQ_gC2yBYuhM/g:nowe:0:0/c:1024:578/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0yMjgyOTkzODgxLmpwZw==.webp" /></div></figure><p>Once the deal for FedEx Supply Chain is complete, the two companies also plan to solidify multiyear ocean and air freight agreements.</p>”
Transaction data
这些证据表明持有者拥有交易数据，可提供库存和订单状态的实时可见性，为供应链优化模型提供关键的商业背景。
Event streams
持有者捕获主要承运商的时间序列事件流，提供交付绩效和运输时间的直接测量，这对于训练预测性物流人工智能至关重要。
Industrial data
这证实了核心仓库活动的专有时间序列运营日志的存在，提供了训练复杂工业监控和流程自动化人工智能所需的精细、真实数据。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for industrial monitoring AI use cases, subject to strict PII anonymization and usage restrictions.
Personal data
Contains 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 industrial operations dataset offers high value for AI-driven industrial monitoring and optimization within the rapidly growing AI in Manufacturing sector. Its rarity and granular nature, despite PII anonymization complexities, drive significant demand.
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
Evolvefulfilment Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the retail domain. Primary AI use-case: Industrial Monitoring. Market signal: Global AI in Manufacturing market = $3.8B in 2023, CAGR 45% (source: Market.us). Investment score 66.6/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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