Dataset opportunity
Zenergyfs — 交易数据集机会
Zenergyfs 持有的中等交易数据集，可用于推荐模型和欺诈检测。
Score
30
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
收购
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.
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 — 许可权待澄清 · PII/受监管
Buyer persona
电子商务与个性化 AI 团队
Zenergyfs 持有一个细粒度的表格交易数据集，该数据集源自其零售业务，整合了 `event_streams`、`geo_data` 和原始 `transaction_data`。这些丰富、结构化的数据非常适合开发和训练高性能推荐模型，以预测消费者购买行为并实现客户体验个性化。
该数据的商业价值体现在快速扩张的全球推荐引擎市场，该市场在 2024 年的估值为53.9 亿美元，预计将以惊人的36.33% 的复合年增长率增长。[4] 尽管访问需要处理与食品制造商共享数据所有权以及在美国中西部/中部市场匿名化身份，但该行业的卓越增长使该数据集成为寻求获得竞争优势的 AI 买家的宝贵且稀有的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与代表的食品制造商共享；区域重点主要在美国中西部/中部市场；需要匿名化特定品牌和运营商身份 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Zenergyfs 拥有一项专有数据集，详细介绍了美国中西部地区食品服务运营商的完整销售漏斗和购买行为。这些独特的数据跟踪从最初的销售电话到最终转化的互动，提供了对 B2B 购买信号的罕见、细粒度视图。对于构建推荐模型的 AI 团队来说，这是一个强大的资产，可以在年增长率超过 36% 的推荐引擎市场中预测购买意图并识别交叉销售机会，而高质量的专有数据是关键的竞争优势。
See dimension details ↓- ICP Audit0
⚠ 审查 — 网站 zenergyfs.com 未解析为活跃公司，搜索结果中的“Zenergyfs”指向通用“能源数据分析”服务，表明这不是一个可验证的运营业务。问题：域名 https://zenergyfs.com 未激活或未解析为有效网站；；搜索结果通用，描述了“能源数据分析”领域。
- Dataset Specificity90
主导的“transaction_data”，零售行业，3 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 Rarity82
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 条证据命中
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 Value84
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扩张，预计复合年增长率为 36.33%。[4]
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 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 Orientation56
2 个数据需求信号（2 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 — 超出已货币化数据的专有数据
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.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
该数据集包含详细的交易记录，跟踪从初步接触和产品采样到成功转化的完整销售周期，为预测性购买模型提供了丰富的信号。
Geospatial data
该专有数据库提供美国中西部地区餐饮服务运营商的地点级别属性和详细购买历史，支持地理定位的推荐和区域市场分析。
Event streams
该数据集包含时间序列信号，这些信号通过区域分销模式和直接运营商反馈识别出新兴的市场空白和食品品牌的未开发需求。
Marketplace
Dataset details
Geographic coverage
US Midwest
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Tabular
License
One-time license for internal use in developing recommendation models, subject to data sharing agreements with food manufacturers and PII anonymization.
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, real-time transaction dataset offers high value for recommendation models due to its granular sales funnel insights and the booming recommendation engine market. The shared data ownership with food manufacturers and PII anonymization requirements introduce complexity, justifying a premium price.
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
Zenergyfs 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). Investment score 30.0/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Shippeo — 移动事件数据集机会
View opportunity →工业Sepro Group — 工业运营数据集机会
View opportunity →出行Frotcom — 可下载数据资产机会
View opportunity →