Dataset opportunity
Everstox — 交易数据集机会
Everstox 持有的海量交易数据集，可用于推荐模型和欺诈检测。
Score
74.2
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
76%
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)
全球电子商务物流市场 = 2025年为5819.5亿美元，年复合增长率20.14% (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.
Profile
Dataset profile
Type
交易数据集
Modality
表格型
Sector
出行
Volume
大
Freshness
实时
Rarity
中等
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（个人身份信息审查）
Buyer persona
电子商务与个性化人工智能团队
Everstox 持有一个丰富的交易数据集，格式为表格，源自其即服务物流平台。这些数据涵盖了其 3PL 合作伙伴和电子商务客户网络中的事件流、交易数据和工业数据，非常适合训练复杂的推荐模型以优化仓储和运输物流。[16]
其商业价值巨大，运营于全球电子商务物流市场，该市场预计在 2025 年将达到5819.5 亿美元，复合年增长率为20.14%。[9] 尽管存在个人身份信息和所有权分割等访问复杂性，但这种多方交易数据的稀有性和深度使其对于寻求在物流优化方面获得竞争优势的 AI 买家来说具有极高的价值。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据包含个人身份信息（送货地址），需要进行大量匿名化处理；所有权在平台、3PL 仓库合作伙伴和电子商务客户之间分割；需要验证用于外部 AI 培训的聚合/匿名数据的使用合同权利。· 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 Everstox 拥有其即服务物流平台提供的丰富、细粒度的交易数据，包括客户详细信息、订单历史记录以及运输和退货的全生命周期跟踪。对于电子商务和个性化 AI 团队而言，该数据集是构建复杂推荐模型以优化整个售后客户旅程的稀有资产。在全球电子商务物流市场预计每年增长超过 20% 的情况下，这些数据提供了捕捉效率提升和提高客户满意度所需的真实依据。
See dimension details ↓- Dataset Specificity90
主导的“交易数据”，移动出行行业，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 Rarity58
专有领域数据（开放会降低稀有度）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume88
9 条证据
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 Demand90
AI 买家需求极高，这得益于电子商务物流市场的爆炸式增长，预计该市场将以 20.14% 的复合年增长率扩张。[9]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility26
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 Feasibility66
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 Strength100
6 种证据类型，9 条证据
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 Orientation22
0 个数据需求信号（0 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，5 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 Audit83
✓ 良好目标 — Everstox 是一个不错的选择，因为它是一个轻资产的物流 SaaS 平台，作为其核心软件业务的副产品，持有有价值的聚合交易数据，而它似乎并未将其作为独立的智能产品出售。问题：核心产品是一个提供客户自身数据分析和控制的软件平台；这是一个功能，但接近于出售智能；数据由其客户的活动生成并由 Ev 处理
- Deep Qualification70
⚠ 需要审查 — 该目标运营一个即服务物流平台，该平台可能生成假设的交易数据集。然而，数据受 GDPR 管辖，所有权在 Everstox、其电子商务客户和 3PL 合作伙伴之间分割，这带来了重大的访问和许可复杂性。[商业模式 = 工具供应商]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>Chez le concepteur et fabricant italien de solutions de capture automatique de données et d’automatisation industrielle Datalogic, les gammes de terminaux Skorpio et Falcon accueillent deux petits nouveaux terminaux mobiles, avec connectivité 5G et WiFi6. Avec son design ergonomique, son clavier de 48 touches et son format compact de type pistolet (avec poignée amovible), le […]</p> <p>L'article <a href="https://supplychainmagazine.fr/datalogic-fait-evoluer-ses-gammes-de-terminaux-skorpio-et-falcon/">Datalogic fait évoluer ses gammes de terminaux Skorpio et Falcon</a> est apparu en pr”
- “<p>Some carriers see it as a practical tool to keep cash flow moving. Others associate it with high costs, confusing agreements, chargebacks, or bad experiences with companies that were not clear from the beginning. And that is the real issue. In many cases, the problem is not factoring itself. The problem is how factoring has […]</p> <p>The post <a href="https://www.freightwaves.com/news/demystifying-factoring-how-it-can-become-a-real-business-tool-for-carriers">Demystifying Factoring: How It Can Become a Real Business Tool for Carriers</a> appeared first on <a href="https://www.freight”
- “<p>Container spot rates from China to the US West Coast have surged over 300% from March to June. FreightWaves' Craig Fuller breaks down why this isn't a demand-driven surge, but a reflection of concentrated power among international ocean carriers. Discover how foreign-owned shipping lines operate as a cartel, manipulating capacity and impacting US businesses. Plus, get insights on the domestic trucking market's holiday capacity crunch and how RXO provides crucial support.</p> <p>The post <a href="https://www.freightwaves.com/news/container-shipping-why-rates-are-skyrocketing-its-not-demand">”
Knowledge base / docs
持有者拥有基于文本的文档，详细说明了物流规则，包括海关文件和税务计算流程，这对于训练模型以自动化复杂的国际运输合规性非常宝贵。
Transaction data
这些表格数据包含核心客户信息和订单历史记录，详细说明了库存、订单、运输和退货的管理，直接为个性化和购买行为模型提供支持。
API access
API 接口的证据证实了持有者进行结构化、机器对机器数据交换的能力，向买家保证了系统化和可集成的数据交付机制。
Downloads / exports
提供受限内容（如白皮书下载）表明收集了专业用户联系信息和用户意向数据，可用于 B2B 客户细分。
Event streams
该公司从其追踪与追溯系统生成实时事件流，提供关于货物状态和位置的高频时间序列数据，用于预测性交付和异常处理模型。
Industrial data
这些时间序列数据来自该公司配送中心网络，提供有关仓库活动和服务的运营数据，可用于建模和优化实体物流。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Freshness: Real-time
Update frequency
Real-time
Delivery
API
Formats
Tabular
License
One-time license for use in training recommendation models, with potential restrictions on data sharing and redistribution.
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 dataset's value is driven by its granular, multi-party transactional data within the high-growth e-commerce logistics sector, ideal for advanced recommendation models. Demand is strong due to the sector's significant market size and CAGR.
Detailed schema & sample available on access request.
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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
Everstox Transaction — a Large transaction dataset (Tabular modality) in the mobility domain. Primary AI use-case: Recommendation Models. Market signal: Global e-commerce Logistics market = $581.95B in 2025, CAGR 20.14% (source: Precedence Research). Investment score 74.2/100 (confidence 0.76). Recommended action: Data Sharing Agreement.
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