Score
52.2
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
35%
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
全球零售人工智能市场 = 2024 年为 116.1 亿美元，复合年增长率为 23.0%（来源：Grand View Research）
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-07-16
FM Logistic en opération sur 30.000 m² pour Gamm Vert en Isère
supplychainmagazine.fr ↗ - 📰press2026-07-15
Former FedEx CFO John Dietrich joins American Airlines board
freightwaves.com ↗ - 📰press2026-07-15
J.B. Hunt’s shares up 9% on Q2 earnings beat
freightwaves.com ↗ - 📰press2026-07-15
OOIDA urges House to vote on Dalilah’s Law after deadly Pennsylvania crash
freightwaves.com ↗ - 📰press2026-07-15
Avoiding AI Failure: The #1 mistake costing logistics companies
freightwaves.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.
Profile
Dataset profile
Type
表格数据导出
Modality
表格
Sector
零售
Volume
有限信号
Freshness
定期
Rarity
中等
Accessibility
受限
Legal
所有权待确认 — 许可待确认
Buyer persona
领域 LLM 构建者和垂直 AI 初创公司
Alaiko 持有其电子商务履行和零售业务的海量表格数据，其中包含库存、运输、订单和产品绩效的结构化日志。这些详细的真实运营数据非常适合用于微调旨在优化物流、预测需求和提高供应链效率的 AI 模型。[12, 13]
AI 在零售市场快速增长，该市场在 2024 年的估值为116.1 亿美元，预计将以23.0% 的复合年增长率扩张，这凸显了该数据的商业价值。[1] 这种显著的增长突显了对高质量专有数据集的强烈买家需求，以支持专业的 AI 应用，使这种稀有的运营数据成为寻求竞争优势的 AI 开发者的宝贵资产。[1, 19] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：公司：结构待确认。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Alaiko 生成并提供可导出为CSV 文件的结构化运输报告，表明其拥有丰富的表格物流和履行数据源。这些运营数据集深受领域 LLM 构建者和垂直 AI 初创公司的追捧，用于微调快速增长的零售人工智能市场（2024 年价值超过 110 亿美元）的模型。访问这些数据可以创建用于供应链优化和预测交付分析的复杂 AI 工具，从而满足电子商务在效率方面的关键需求。
See dimension details ↓- Dataset Specificity54
主导的 'file_csv'，零售行业，0 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 Rarity46
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume40
1 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 Value44
适合微调
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI 买家需求异常高，受市场以 23.0% 的预测复合年增长率快速扩张的推动，这产生了对用于微调的专业零售运营数据的强烈需求。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility44
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
中等难度，结构待确认
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength38
1 种证据类型，1 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License59
所有权=未知，许可=未知
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence70
结构待确认
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 数据胃口信号（0 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，5 条近期外部信号 — 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. - ICP Audit100
✓ 良好目标 — Alaiko 是一个绝佳的目标，因为它是一家电子商务履行和物流运营商，作为副产品生成大量运营数据，并且最近与 Zenfulfillment 合并，表明其运营活跃且在增长。问题：该公司已与 Zenfulfillment 合并并现为其一部分，Zenfulfillment 应为主要联系实体。[3, 9]；品牌正在从 'Alaiko OS' 转变为 'ZEN OS'。[3]
- Deep Qualification90
⚠ 需要审查 — 该目标是为电子商务品牌提供履行服务的提供商，而不是数据销售商。它作为其核心业务的副产品持有大量连贯的表格数据，但这些数据属于其客户且对 GDPR 敏感，这使得直接许可受到高度限制。[数据归其客户所有]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
CSV files
该公司网站明确指出，用户可以下载各种运输报告作为CSV 文件，证明了用于训练 AI 处理真实电子商务物流的可导出结构化数据的存在。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Alaiko Tabular Data Export — a Limited signal tabular data export (Tabular modality) in the retail domain. Primary AI use-case: Fine Tuning. Market signal: Global Artificial Intelligence in Retail market = $11.61 billion in 2024, CAGR 23.0% (source: Grand View Research). Investment score 52.2/100 (confidence 0.35). Recommended action: Data Sharing Agreement.
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