Dataset opportunity
Salesupply — 交易数据集机会
Salesupply 持有的中等交易数据集，可用于推荐模型和欺诈检测。
Score
65.2
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
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%（来源：Precedence Research）
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
使用匿名客户服务历史来训练 AI 机器人
source ↗
Profile
Dataset profile
Type
交易数据集
Modality
表格
Sector
零售
Volume
中等
Freshness
实时
Rarity
高（专有）
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 AI 团队
Salesupply 持有一个全面的表格 交易数据集，包括来自 380 多个市场集成的海量事件流。这些精细数据捕获了全球零售网络中详细的客户购买历史、交易详情和行为事件，为训练和优化复杂的推荐模型提供了理想的基础。
全球推荐引擎市场在 2024 年的价值为53.9 亿美元，预计将以高达 36.33% 的复合年增长率增长。[3] 虽然访问需要克服 PII 匿名化（来自客户服务日志）和分布式数据中心等复杂性，但聚合的专有绩效数据对于旨在获得零售个性化竞争优势的 AI 买家来说，是一项极其有价值且稀有的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：客户服务日志包含需要大量匿名化（GDPR）的 PII；履行数据部分由客户拥有，但聚合绩效是专有的；数据分布在 20 多个全球履行中心和 380 多个市场集成中。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
公开证据证实 Salesupply 拥有专有的跨国数据集，详细记录了从购买到国际退货的完整电子商务客户旅程。这段跨越 15 年、涉及 500 多家客户的丰富交易和客户服务历史，是训练复杂的推荐模型的稀有资产。对于目标是全球电子商务市场的 AI 团队来说，在目前价值 53.9 亿美元、预计每年增长超过 36% 的推荐引擎领域，这些数据提供了独特的竞争优势。
See dimension details ↓- Dataset Specificity78
主导的 'transaction_data'，零售行业，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 Volume68
3 个证据命中，明确提及数据量
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，这得益于推荐引擎市场的爆炸式增长，该市场正以 36.33% 的复合年增长率扩张。[3]
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 Strength62
3 种证据类型，3 次命中
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 Audit100
✓ 良好目标 — Salesupply 是一个好目标，因为它是一家中小企业，其核心业务是提供履行和客户支持等电子商务运营服务，从而产生有价值的交易和物流数据作为副产品，而且没有任何迹象表明他们会出售这些数据或由此产生的智能。
- Deep Qualification90
✓ 通过 — Salesupply 是电子商务履行和客户支持的服务提供商，而不是数据销售商。它作为其服务副产品处理的交易数据由其客户（作为“控制器”）拥有，但 Salesupply 可能拥有聚合的、匿名的绩效数据。数据是 GDPR 敏感的，“交易数据集”标签与其业务模式一致。其在法国履行网络的近期扩张表明了增长。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
该数据集包含关于售后活动的精细交易数据，特别是超过 20 个国家的国际退货，这对于对客户流失和产品满意度进行建模至关重要。
Event streams
持有者拥有来自 500 多家电子商务客户的 15 年时间序列客户服务数据，提供了对客户互动的深入历史视图，这对于个性化 AI 至关重要。
Data-volume signal
该数据的显着数量和多样性体现在其来源：全球 380 多个市场、25 种以上语言的客户服务运营，表明这是一个独特的全球培训资产。
Marketplace
Dataset details
Geographic coverage
Global
Time range
15 years
Update frequency
Real-time
Delivery
API
Formats
Tabular
License
One-time license for use in training and deploying recommendation models. Usage restrictions may apply.
Personal data
Contains PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This proprietary, high-volume transaction dataset is exceptionally valuable for training recommendation models within the rapidly growing global e-commerce sector. Its rarity, granular detail, and real-time freshness, combined with a 15-year history, justify a premium valuation.
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Salesupply Transaction — a Moderate transaction dataset (Tabular modality) in the retail domain. Primary AI use-case: Recommendation Models. Market signal: Global Recommendation Engine market = $3.92B in 2023, CAGR 36.3% (source: Grand View Research). Investment score 58.7/100 (confidence 0.44). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Sensoneo — 数据集机会知识库
View opportunity →其他Foodforensics — 知识库数据集机会
View opportunity →其他Flashforest — 传感器遥测数据集机会
View opportunity →