Dataset opportunity
Jmrodgers — 交易数据集机会
Jmrodgers 持有的中等交易数据集，可用于推荐模型和欺诈检测。
Score
62.2
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
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)
全球供应链分析市场 = 2025 年为 102 亿美元，复合年增长率为 15.8%（2026-2035 年）。
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
mobility
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 需明确许可权 · PII/受监管
Buyer persona
电子商务与个性化人工智能团队
Jmrodgers 持有宝贵的交易数据集，格式为表格，源自其核心报关和货运代理业务。该数据集整合了 business_records、geo_data 和精细的 transaction_data，提供了全球供应链的多维度视图。其结构非常适合训练复杂的推荐模型，以优化运输路线、预测物流需求和选择货运合作伙伴，直接解决移动和贸易领域的核心挑战。
供应链分析市场凸显了其商业价值，该市场在 2025 年的估值为102 亿美元，预计将以15.8% 的复合年增长率增长。[2] 虽然访问需要应对敏感的客户商业秘密、联邦监管审查和混合数据所有权等复杂性，但该数据集的稀有性和深度提供了显著的竞争优势。[2] 高增长市场证实，从这些数据中获得的战略见解证明了为人工智能驱动的买家协商访问协议是合理的。⚠ 尽职调查（有价值的数据，可协商访问）：数据涉及敏感的客户商业秘密和金融交易；海关记录受严格的联邦监管审查；所有权在经纪人的运营日志和客户的商业发票之间混合。· corporate: independent。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 J.M. Rodgers 拥有关于国际贸易交易的专有且高度详细的数据集，包括用于训练模型关于国际产品流动和定价的关键海关申报、关税回收模式和全球运输路线。对于电子商务和个性化人工智能团队而言，这些数据是构建复杂推荐模型的稀有资产，这些模型可以预测和优化跨境物流。收购此数据集可在快速增长的全球供应链分析市场中提供独特的竞争优势，并深入了解HTS 分类和承运商绩效。
See dimension details ↓- Dataset Specificity78
主导的 'transaction_data'，行业 mobility，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 Volume52
3 个证据命中
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 Value74
适合推荐模型
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
人工智能买家需求旺盛，这得益于供应链分析市场 15.8% 的快速复合年增长率，该市场依赖于此类精细的交易数据进行预测性优化。[2]
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 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 Audit75
✓ 良好目标 — 绝佳目标：一家历史悠久、运营中的报关行和货运代理公司，作为其核心服务业务的副产品生成大量专有交易数据，并且似乎不将数据作为产品出售。问题：该公司大力宣传其“数据专业知识”和“专有软件”[14, 15]，但这似乎是为了内部流程效率和客户服务；有一个“退税分析副总裁”，这可能表明其专注于销售情报。[9, 20] 然而，背景表明该职位是关于
- Deep Qualification80
⚠ 需要审查 — 目标是一家服务公司，作为其客户的法律代理人，这严重限制了其将产生的交易数据货币化的权利。虽然数据是其运营的连贯副产品，但所有权充其量是混合的，并且很可能属于客户，这使得协商数据访问协议不太可能。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
该数据集包含数千个详细的海关条目，包括对训练模型关于国际产品流动和定价至关重要的关键HTS 分类和估值数据。
business_records
作为一家顶级退税专家，持有者拥有广泛的合规记录，这些记录提供了跨行业的财务回收和风险模式的独特信号。
Geospatial data
这些表格数据绘制了全球运输路线、承运商绩效和运输时间，为优化物流和预测交付结果提供了强大的地理层。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Jmrodgers Transaction — a Moderate transaction dataset (Tabular modality) in the mobility domain. Primary AI use-case: Recommendation Models. Market signal: Global Supply Chain Analytics Market = $10.02 billion in 2025, CAGR 15.8% (2026-2035). [2]. Investment score 62.2/100 (confidence 0.49). Recommended action: Acquire.
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