Dataset opportunity
Precisewarehousing — 交易数据集机会
Precisewarehousing 持有的中等交易数据集，可用于推荐模型和欺诈检测。
Score
54.6
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
42%
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在 2025 年的价值为 110 亿美元，预计从 2026-2034 年将呈现 15.85% 的复合年增长率。
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.
- ✨Signal
快递和 LTL 费率比价服务表明积极管理运输费率数据库
source ↗
Profile
Dataset profile
Type
交易数据集
Modality
表格
Sector
移动
Volume
中等
Freshness
定期
Rarity
中等
Accessibility
受限
Legal
混合所有权 — 需明确许可权 · PII/受监管
Buyer persona
电子商务与个性化 AI 团队
Precisewarehousing 持有表格格式的交易数据集，包含其移动和物流业务的详细业务记录和交易数据。这包括第三方承运商费率、客户库存水平和运输绩效指标的详细信息，非常适合训练复杂的推荐模型，以优化电子商务和物流客户的承运商选择、路线和库存管理。
全球供应链分析市场在 2025 年的价值为110 亿美元，预计到 2034 年将以15.85% 的复合年增长率增长。[2] 尽管存在已知的访问复杂性，例如需要匿名化运输细节中的个人身份信息 (PII) 并通过合同明确数据所有权，但这个有价值的数据集是一项重要资产。此类全面的真实物流数据的稀缺性，加上高市场增长，使其成为旨在在供应链优化中建立竞争优势的 AI 买家的引人注目的机会。[2] ⚠ 尽职调查（有价值的数据，可协商访问）：物流数据涉及第三方承运商费率和客户库存详情；运输地址和收件人姓名构成需要匿名化的 PII；需要通过合同明确汇总的运输绩效数据的所有权。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据表明 Precisewarehousing 拥有专有的运输交易数据集，详细说明了不同承运商的历史成本和真实世界的物流绩效。对于寻求构建复杂推荐模型的电子商务和个性化 AI 团队来说，这是一项高价值资产。通过对此数据进行训练，模型可以根据成本、速度和可靠性优化运输推荐，在预计每年增长超过 15% 的供应链分析市场中提供关键的竞争优势。
See dimension details ↓- Dataset Specificity66
主导的“交易数据”，行业移动，1 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 Rarity58
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume46
2 条证据
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
定期
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value64
适用于推荐模型
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI 买家需求旺盛，这得益于供应链分析市场的快速增长，预计该市场将以 15.85% 的复合年增长率扩张，因为公司寻求数据来优化物流并获得竞争优势。[2]
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 Strength50
2 种证据类型，2 条证据
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 Surplus70
盈余=中等 — 专有数据超出已货币化部分
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 — 这家独立拥有的加拿大 3PL 公司自 2011 年成立以来，是完美的目标，因为其核心业务是运营物流，副产品是产生有价值的、未被利用的交易和库存数据。
- Deep Qualification80
✓ 通过 — Precise Warehousing 是一家 3PL 服务提供商，作为其核心物流和电子商务履行业务的副产品，拥有有价值的交易数据集。最近的收购增强了其数据生成能力，但数据所有权是混合的（客户和汇总数据）并包含 PII，而由于缺乏公开的法律文件，具体的许可权仍未经验证。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
该公司的费率比价服务生成了一个专有的表格数据集，其中包含承运商网络中的历史和实时运输成本，这对于任何希望优化物流支出的电子商务平台都至关重要。
business_records
作为第三方物流 (3PL) 提供商，该公司捕获运营记录，详细说明交付成功率和交货时间，提供构建稳健预测模型所需的真实绩效数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Precisewarehousing Transaction — a Moderate transaction dataset (Tabular modality) in the mobility domain. Primary AI use-case: Recommendation Models. Market signal: Global Supply Chain Analytics market was valued at $11.0 Billion in 2025, projected to exhibit a CAGR of 15.85% from 2026-2034 (source: IMARC Group). [2]. Investment score 54.6/100 (confidence 0.42). Recommended action: Data Sharing Agreement.
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