Dataset opportunity
Coldstorage — 工业运营数据集机会
由 Coldstorage 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
37.5
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
收购
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)
全球工业物联网 (IIoT) 市场在 2025 年的估值为 1989 亿美元，预计将以 15.8% 的复合年增长率增长。
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.
- 🤝Data partnership
利用数据帮助非营利组织管理库存波动并减少食物浪费
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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 — 需明确许可权
Buyer persona
工业人工智能集成商
Coldstorage 持有一个专有的工业运营数据集，该数据集由其定制开发的起重机上的物联网传感器以及内部业务记录生成的时间序列数据组成。这些详细数据，包括 `iot_data` 和 `industrial_data`，非常适合工业监控用例，能够开发用于预测性维护、运营效率分析和物流环境中异常检测的 AI 模型。
该数据集是快速增长的工业物联网 (IIoT) 市场中的宝贵资产，该市场在 2025 年的估值为1989 亿美元，预计将以15.8% 的复合年增长率增长。虽然由于数据的专有性质和公司私有的治理，访问需要进行谈判，但其定制硬件带来的独特模式使其成为训练强大、真实的工业 AI 模型的稀有来源，证明了投资的合理性。⚠ 尽职调查（有价值的数据，可协商访问）：运营数据是专有的，但库存数据属于第三方物流客户；内部开发的软件和硬件（起重机）表明数据模式是定制的；私有的家族治理可能会使正式的数据许可协议复杂化。· 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 Coldstorage 拥有其全自动化冷库运营产生的专有、高稀有度数据集，结合了定制软件日志和大规模物联网传感器读数。对于工业人工智能集成商而言，这种统一的时间序列数据是构建和验证下一代工业监控和预测性维护解决方案的关键资产。收购此数据集可在快速扩张的IIoT市场中获得显著优势，该市场预计将从 2025 年的 1989 亿美元估值增长 15.8% 的复合年增长率。
See dimension details ↓- Dataset Specificity78
主导的 'industrial_data'，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
买家需求极高，这得益于工业物联网 (IIoT) 市场显著的 15.8% 复合年增长率，该市场需要大量的运营数据来进行人工智能模型训练。
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 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 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
所有权=混合，许可=权利不明确
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 Orientation39
1 个数据需求信号（1 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 Audit25
⚠ 审查 — 这是一家大型新加坡连锁超市，而不是工业运营公司，并且是大型国际零售集团的一部分。问题：公司 `coldstorage.com` 似乎是一家加拿大物流/仓储提供商，但 `coldstorage.com.sg` 是一家大型新加坡连锁超市；新加坡实体是更突出的，是一家大型零售企业，而不是中小企业；该公司的核心业务是零售（销售杂货），而不是作为副产品产生数据的运营业务（按照 ICP 的定义）；该公司是一家大型国际零售集团（前身为 Dairy Farm Group，已出售给 Macrovalue）的一部分，该集团被归类为“巨头/不透明集团”以进行
- Deep Qualification70
✓ 通过 — 目标是一家物流服务提供商，而不是数据销售商。声称的“工业运营数据集”高度可信，因为该公司开发了自己的自动化起重机和仓库管理软件，生成专有的运营数据。但是，数据所有权是混合的，因为库存数据属于客户，而运营数据的许可权未知。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这些证据表明由专有的、内部开发的仓库自动化软件生成的独特时间序列数据，这对于在非标准工业系统上训练人工智能非常有价值。
IoT / sensor data
这证实了来自大型自动化仓库网络的广泛物联网传感器数据的存在，提供了构建复杂的能源优化和异常检测模型所需的详细温度控制记录。
business_records
这些物流文件提供了关键的业务背景，使得能够开发能够模拟和优化从产品接收到最终发货的整个分销链的人工智能。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Coldstorage Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial Internet of Things (IIoT) Market was valued at $198.9 billion in 2025, projected to grow at a 15.8% CAGR (source: Market.us).. Investment score 37.5/100 (confidence 0.49). Recommended action: Acquire.
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