Dataset opportunity
Thefulfilmentpeople — 交易数据集机会
由 Thefulfilmentpeople 持有的中等交易数据集，可用于推荐模型和欺诈检测。
Score
53.6
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)
全球推荐引擎市场 = 2024 年为 53.9 亿美元，复合年增长率为 36.33%。
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
提供“信息来源”，帮助客户跨平台建立业务。
source ↗
Profile
Dataset profile
Type
交易数据集
Modality
表格
Sector
零售
Volume
中等
Freshness
定期
Rarity
中等
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
电子商务与个性化人工智能团队
该数据集是来自英国零售物流公司 Thefulfilmentpeople 的表格 交易数据集，包含详细的 business_records 和 transaction_data。它提供了丰富的用户-商品互动、发货详情和库存变动历史，使其能够直接应用于训练和验证高性能推荐模型，捕捉真实的消费者购买模式。
该数据资产提供了对推荐引擎市场的访问权，该市场在 2024 年的价值为53.9 亿美元，预计将以36.33% 的复合年增长率增长。[8] 虽然访问需要应对复杂性——包括 PII 匿名化、混合运营和客户库存数据，以及验证合同权利——但这种以物流为中心的交易数据的稀有和宝贵性质，使其成为寻求在快速增长的行业中获得竞争优势的买家的引人注目的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据包含 PII（送货地址/姓名），需要匿名化；运营数据与客户拥有的库存记录混合；需要验证汇总和货币化匿名物流基准的合同权利。· corporate: independent。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了 The Fulfilment People 持有丰富的多品牌交易数据，这些数据来自为不同电子商务零售商管理库存和客户。这类跨平台数据集是人工智能团队构建复杂的推荐模型以理解和预测客户行为的高价值资产。在全球推荐引擎市场价值 53.9 亿美元且年增长率超过 36% 的情况下，这些数据为增强个性化和获得竞争优势提供了直接途径。
See dimension details ↓- Dataset Specificity66
主导的 'transaction_data'，零售行业，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 个证据命中
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 Demand85
人工智能买家对这种数据类型的需求极高，这得益于推荐引擎市场爆炸性的 36.33% 复合年增长率。[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
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 Strength50
2 种证据类型，2 个命中
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 Orientation39
1 个数据胃口信号（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 — 这是一个完美的目标：一家物流领域的运营中小企业，其核心业务是运输和储存货物，由此产生的有价值的交易和履约数据是副产品，而且似乎并未出售。
- Deep Qualification90
⚠ 需要审查 — 该目标是一家 3PL/履约服务提供商，使其成为一个可能拥有交易数据集的数据持有者。然而，其隐私政策明确限制出售或交易个人身份信息，并且作为 GDPR 下的数据处理者，它不拥有其客户的数据，这使得货币化在法律上复杂且不太可能。[数据归其客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
这些证据表明持有者拥有多品牌表格数据集，详细说明了不同电子商务平台的交易历史，这是训练下一代推荐引擎的核心资产。
business_records
这些运营记录证实了持有者在管理客户库存和客户方面的直接作用，加强了数据血统并确认了相关交易数据集的出处。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Thefulfilmentpeople Transaction — a Moderate transaction dataset (Tabular modality) in the retail domain. Primary AI use-case: Recommendation Models. Market signal: Global Recommendation Engine market = $5.39B in 2024, CAGR 36.33% (source: Precedence Research) [8]. Investment score 53.6/100 (confidence 0.42). Recommended action: Data Sharing Agreement.
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