Dataset opportunity
Pricecheck — 交易数据集机会
Pricecheck 持有的中等交易数据集，可用于推荐模型和欺诈检测。
Score
61.6
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)
全球推荐引擎市场预计将从 2026 年的 144.7 亿美元增长到 2034 年的 1795.8 亿美元，复合年增长率为 37%。
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.
- 📝Published article
Pricecheck 洞察中心：品类洞察和市场趋势
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
公司所有 — 许可清晰 · PII/受监管
Buyer persona
电子商务与个性化人工智能团队
Pricecheck 持有一个全面的表格数据集，由其 B2B 交易数据和物流记录组成。这些结构化信息详细介绍了购买模式、产品流动和客户关系，使其非常适合训练复杂的推荐模型。业务记录的粒度为开发个性化的 B2B 产品和服务建议奠定了坚实的基础。
此类数据的价值体现在全球推荐引擎市场中，该市场预计将从 2026 年的144.7 亿美元增长到 2034 年的 1795.8 亿美元，复合年增长率为 37%。[1] 虽然由于数据的专有性质和内部用于市场洞察，访问需要协商，但其稀有性以及对这一高增长人工智能用例的直接适用性，为寻求竞争优势的买家提供了重大机会。[1] ⚠ 尽职调查（有价值的数据，可协商访问）：数据主要是 B2B 交易和物流记录；大型成熟公司，拥有结构化的企业部门；专有市场洞察用于内部使用，但不作为原始数据集出售 · 企业：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 Pricecheck 拥有一个大规模的、全球性的交易数据集，具有显著的零售行业多样性，来源于其在 100 多个国家的配送业务。对于电子商务和个性化人工智能团队而言，这些数据提供了培训复杂推荐模型所需的丰富、跨类别购买信号。在预计复合年增长率为 37% 的推荐引擎市场中 [1]，该数据集提供了一个强大的资产，可以抢占市场份额并理解复杂的消费者行为。
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 条证据命中
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
适合推荐模型
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
人工智能买家对推荐模型培训数据的需求异常高，这得益于一个预计复合年增长率为 37% 的市场。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility16
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 条命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
所有权=公司所有，许可=清晰
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 Audit92
✓ 良好目标 — Pricecheck 是一家大型、不断增长的快速消费品分销商，其核心业务是商品的实体批发，使其广泛的交易数据成为有价值的、休眠的副产品，并且非常适合。问题：该公司属于中大型企业，拥有 370 多名员工和 2 亿英镑的营业额，这可能会影响其“利基”方面；他们提到使用“战略洞察力”并为合作伙伴提供“品类洞察力”，这需要澄清以确保他们尚未出售结构。
- Deep Qualification80
✓ 通过 — Pricecheck 是一个经典的数据持有者，拥有高度连贯的 B2B 交易和物流数据集，作为其核心快速消费品分销业务的副产品生成；虽然其隐私政策提到为业务转移共享数据，但原始数据许可的具体条款必须协商。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
这些证据证实了该数据集的全球规模，记录了在100 多个国家的配送情况，这对于培训能够服务于不同国际市场的模型至关重要。
business_records
这些记录证明了该数据集丰富、跨类别的性质，涵盖从时尚到药店和 DIY 的各个行业，提供了支持高级个性化引擎所需的各种信号。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Pricecheck Transaction — a Moderate transaction dataset (Tabular modality) in the retail domain. Primary AI use-case: Recommendation Models. Market signal: Global recommendation engines market projected to grow from $14.47 billion in 2026 to $179.58 billion by 2034, at a 37% CAGR (source: Straits Research). [1]. Investment score 61.6/100 (confidence 0.42). Recommended action: Data Sharing Agreement.
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