Dataset opportunity
Greenworldwide — 可下载数据资产机会
由 Greenworldwide 持有的大型可下载数据资产，可用于微调和预训练。
Score
78.7
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
92%
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
全球物流和供应链人工智能市场在 2024 年估值为 20.1 亿美元，预计在 2025 年至 2034 年间将以 25.9% 的复合年增长率增长，到 2034 年达到 196.58 亿美元。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-03
US eyes new tariffs for China, EU, Mexico and more after labor probes
supplychaindive.com ↗ - 📰press2026-06-03
Trump further tweaks steel, aluminum, copper tariffs
medtechdive.com ↗ - 📰press2026-06-03
FMC can help ocean shippers in 3 key ways, chair says
supplychaindive.com ↗ - 📰press2026-06-02
USTR floats 25% tariff on Brazil imports
supplychaindive.com ↗ - 📰press2026-06-02
Deere reaps benefits of IEEPA tariff refund and construction demand
manufacturingdive.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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
可下载数据资产
Modality
表格数据
Sector
出行
Volume
大
Freshness
周期性
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确 · 个人身份信息/受监管
Buyer persona
领域大语言模型构建者和垂直领域人工智能初创公司
Greenworldwide 拥有一个丰富的可下载数据资产，以表格形式呈现，源自其广泛而复杂的全球物流运营。这个独特的数据集包含关键证据，如数据目录、数据量、下载、地理数据、工业数据、知识库、采购和交易数据，使其非常适合微调高级AI模型。这些数据的粒度性质，包括对交付模式、城市交通和消费者行为的洞察，提供了对出行领域罕见而全面的视角。
尽管存在固有的访问复杂性，包括部分数据已用于面向客户的平台（GreenX、GreenCheck），严格遵守贸易法规和海关法律，以及涉及ESG数据合作，但该资产仍具有重要的商业价值。物流和供应链中的AI市场，2024年估值为201亿美元，预计到2034年将以25.9%的复合年增长率增长，这凸显了对此类专业数据的高需求。这一市场增长由对实时可见性、路线优化和需求预测的需求驱动，突显了数据变现和为AI买家生成有价值洞察的巨大潜力。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据来源于复杂的全球物流运营；部分数据已用于面向客户的平台（GreenX、GreenCheck）；遵守贸易法规和海关法律对数据使用至关重要；ESG数据涉及合作伙伴关系和遵守外部标准。· 企业：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这个机会提供了访问Greenworldwide高度专有且广泛的数据集的途径，Greenworldwide是移动出行领域的重要参与者，其数据集包含超过138,000份提货单和丰富的地理空间物流信息。这些数据提供了对实时货运操作的深入洞察，包括每次运输独特的温室气体排放计算，使其对于微调领域大型语言模型（LLMs）具有极高的价值。随着全球物流和供应链AI市场的迅速扩张，该数据集为垂直AI初创公司和LLM开发者提供了无与伦比的基础，以开发用于供应链优化和可持续物流的先进解决方案。
See dimension details ↓- Dataset Specificity100
主导的“下载”，移动出行领域，4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（开放会降低稀有性）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume100
14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 Freshness62
API/开放（当前）
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
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训练数据集市场对于微调AI模型至关重要，预计从2024年到2029年将以27.7%的复合年增长率增长，其中LLM微调生成式AI细分市场预计在2025年占据最大的市场份额，而移动出行领域的AI
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility22
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 Feasibility48
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
8种证据类型，14个命中
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
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 Orientation84
4个数据需求信号（3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 — 超出已变现的专有数据
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 — Green Worldwide是一家可联系的物流和货运代理中小企业，其核心业务会产生有价值的运营数据作为副产品，并且似乎不将这些数据或衍生智能作为主要产品出售。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Procurement / tenders
这突出了持有者积极参与零排放海运采购和成功的集体招标，为绿色物流AI开发提供了有价值的以可持续发展为重点的供应链数据。
Geospatial data
此证据证实持有者拥有源自其GreenX平台的地理空间物流数据，提供地图化货运视图，这对于供应链AI模型中的实时跟踪和路线优化至关重要。
Downloads / exports
这表明可获取案例研究数据，详细描述了多始发地散货执行等复杂物流操作，为基于场景的LLM训练提供了丰富的上下文信息。
Knowledge base / docs
这指向一个包含操作文档和表格的结构化知识库，可以为LLMs提供关于物流流程和合规要求的实用洞察。
Transaction data
这证实了超过138,000份专有提货单的大量数据，代表了十年的交易物流数据，对于训练AI模型了解真实世界的航运模式和贸易流具有不可估量的价值。
Industrial data
这展示了与每次货运的温室气体排放计算相关的独特工业时间序列数据的收集，为专注于可持续和优化货运代理的AI解决方案提供了关键洞察。
Data-volume signal
这表明收集了来自不同利益相关者的超过8,000个多模式数据点，强调了持有者内部数据生态系统的综合性。
Data catalog / marketplace
这证实了其GreenX平台内存在一个结构化的数据目录，提供完整数据访问和异常报告功能，表明底层数据集组织良好且易于访问，便于AI集成。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Periodic (specific range not provided, assume recent historical)
Update frequency
Periodic
Delivery
Downloadable Data Asset
Formats
Tabular
License
One-time license for fine-tuning AI models, with potential restrictions on redistribution or direct client-facing use without further licensing.
Personal data
No 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 high rarity as proprietary, complex global logistics data with unique GHG emissions insights, and strong demand from the rapidly growing AI in logistics sector. The inclusion of over 138,000 bills of lading and granular geospatial information makes it exceptionally suited for fine-tuning AI models.
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Greenworldwide Downloadable Data — a Large downloadable data asset (Tabular modality) in the mobility domain. Primary AI use-case: Fine Tuning. Market signal: The global AI in logistics and supply chain market was valued at USD 20.1 billion in 2024 and is projected to grow at a CAGR of 25.9% between 2025 and 2034, reaching USD 196.58 billion by 2034.. Investment score 78.7/100 (confidence 0.92). Recommended action: Acquire.
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