Dataset opportunity
Kiokii — 交易数据集机会
Kiokii 持有的中等交易数据集，可用于推荐模型和欺诈检测。
Score
61.5
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
56%
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 = 2023 年为 39 亿美元，复合年增长率为 36.3%（2024-2030 年）。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-21
Daily Synopsis: August 20, 2026
retail-insider.com ↗
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
交易数据集
Modality
表格
Sector
零售
Volume
中等
Freshness
定期
Rarity
低（商品）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（PII 审查）
Buyer persona
电子商务和个性化 AI 团队
Kiokii 提供全面的交易数据集，采用表格模式，详细说明客户购买历史，包括姓名和电子邮件等 PII。这些丰富的第一方数据，辅以业务记录和用户生成内容，非常适合训练复杂的推荐模型，因为它提供了对消费者行为和产品偏好的细粒度见解。
全球推荐引擎市场在 2023 年的估值为39 亿美元，预计到 2030 年将以惊人的 36.3% 的复合年增长率增长。[8] 尽管访问复杂，需要严格的 PII 匿名化，遵守加拿大隐私法 (PIPEDA)，并管理与供应商相关的数据敏感性，但这种真实零售数据的宝贵且稀有的性质为旨在抓住这一爆炸性市场增长的 AI 买家提供了重大机会。⚠ 尽职调查（有价值的数据，可协商的访问权限）：包含消费者 PII（姓名、电子邮件、购买历史），需要严格匿名化；忠诚度计划数据受加拿大隐私法 (PIPEDA) 管辖；数据包括特定品牌表现，可能存在与供应商相关的数据敏感性 · 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 Kiokii 拥有丰富的零售数据集，将客户交易与详细的产品目录、忠诚度计划级别和直接客户情绪联系起来。这种多层数据正是电子商务和个性化 AI 团队构建和完善复杂推荐模型所需要的。在经历爆炸性增长（复合年增长率 36.3%）的推荐引擎市场中，此数据集提供了超越基本协同过滤并大规模实现下一代个性化所需的细粒度信号。
See dimension details ↓- Dataset Specificity66
主导的“交易数据”，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 Rarity34
专有领域数据（开放降低稀有度）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness62
API/开放（当前）
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 Demand95
AI 买家需求极高，这得益于全球推荐引擎市场 **36.3% 的复合年增长率**，该市场直接依赖于丰富的交易数据进行模型训练和个性化。[8]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility14
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility48
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 Strength74
4 种证据类型，4 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
所有权=公司所有，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 Orientation50
2 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，1 个近期外部信号 — 超出已货币化的专有数据
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 Audit92
✓ 良好目标 — Kiokii 是一家快速增长的亚洲美容产品零售连锁店，拥有众多实体店和电子商务业务，使其交易和客户数据成为宝贵的、休眠的其核心业务的副产品。问题：该公司正在快速扩张，从 2022 年的一家店增长到 2026 年的 24 家以上，这可能会使识别正确的决策者复杂化。[1, 14；它与上市公司 YesAsia Holdings Ltd. 有战略合作伙伴关系，这可能会增加数据所有权讨论的复杂性。[6]
- Deep Qualification90
✓ 通过 — Kiokii 是一家快速增长的加拿大亚洲美容产品零售商。作为数据持有者，其交易数据集是其零售业务的直接副产品，使其成为训练推荐模型的连贯且有价值的资产，尽管根据加拿大隐私法需要严格的 PII 匿名化。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
这证实了与特定促销活动相关的交易数据的存在，这对于模拟客户购买行为和促销敏感性至关重要。
business_records
数据包括结构化的客户忠诚度计划，能够根据消费等级进行强大的细分，以个性化优惠和预测生命周期价值。
User-generated content
以产品评论和评分形式的用户生成内容提供了关于客户情绪的直接信号，这是提高推荐相关性和信任度的关键功能。
Data catalog / marketplace
包含深入产品属性（如品牌和特定“皮肤问题”）的详细目录，为构建高级内容型推荐模型提供了必要的元数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Kiokii Transaction — a Moderate transaction dataset (Tabular modality) in the retail domain. Primary AI use-case: Recommendation Models. Market signal: Global Recommendation Engine Market = $3.9B in 2023, CAGR 36.3% (2024-2030) (source: Grand View Research). [8]. Investment score 61.5/100 (confidence 0.56). Recommended action: Data Sharing Agreement.
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