Dataset opportunity
Mt Logistik — 法规记录数据集机会
Mt Logistik 持有的中等规模法规记录数据集，可用于法规 RAG 和合规助手。
Score
68.6
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)
全球物流大数据市场 = 2023年为43亿美元，复合年增长率21.5% (来源：Global Market Insights, Inc.)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-19
L’ONG Solidarités International planifie par scénarios avec Anaplan
supplychainmagazine.fr ↗ - 📰press2026-06-19
Blyyd lève 5 M€ pour conquérir l’Europe
supplychainmagazine.fr ↗ - 📰press2026-06-19
La Poste entreprend une plateforme multiflux de 4.900 m² en Moselle
supplychainmagazine.fr ↗ - 📰press2026-06-19
Sophie Pietremont à la tête du marketing de Generix
supplychainmagazine.fr ↗ - 📰press2026-06-19
Citylogin pérennise son emploi du métro pour livrer à Madrid
supplychainmagazine.fr ↗
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
法规记录数据集
Modality
文本
Sector
出行
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待明确 · PII/受监管
Buyer persona
监管科技与合规AI供应商
Mt Logistik 拥有一份监管记录数据集，其数据类型为文本，包含广泛的工业数据、监管合规证明以及交易数据。该数据集非常适合监管 RAG 用例，因为它包含了训练 AI 精准导航复杂国际物流监管体系所需的特定、真实世界的文档，例如海关申报单和运输清单。
其商业价值巨大，位于物流大数据市场内，该市场在2023 年的估值为43 亿美元，预计将以21.5% 的复合年增长率增长。[11] 尽管存在访问复杂性——海关数据受到严格的Zollabfertigung（报关）监管，运输详情可能需要客户匿名化，运营数据可能存储在遗留系统中——但这些挑战凸显了数据的稀缺性和价值。对于 AI 买家而言，获取这份难以复制的数据集将构成显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：海关数据受到严格的监管审查（Zollabfertigung）。；运输特定数据可能需要匿名化以剥离特定客户身份。；运营数据很可能存储在遗留的货运管理系统中。· 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 Mt Logistik 拥有一个专有数据集，详细记录了二十多年来复杂的国际清关和物流运营。这种高稀缺性的文本数据对于寻求在真实世界文档上训练监管 RAG 模型的 RegTech 和合规 AI 供应商来说是一项关键资产。在全球物流数据市场预计每年增长超过 21% 的背景下，该数据集提供了对国际贸易合规性的独特运营视角，涵盖空运、海运和陆运运输。
See dimension details ↓- Dataset Specificity90
主导的“监管”，行业出行，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 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 Value84
适用于监管 RAG
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，这得益于对专业、行业特定数据的需求，以支持在以 21.5% 的复合年增长率增长的市场中运行的应用程序。[11]
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
低难度，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 License70
所有权=已拥有，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，5 个近期外部信号 — 专有数据超出已货币化部分
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 Audit100
✓ 良好目标 — 这是一个完美的目标：一个可联系的、运营中的物流中小企业，其核心业务是货物运输，而不是销售数据，这意味着其运营数据是一个休眠的、有价值的副产品。
- Deep Qualification90
✓ 通过 — 该目标是一家物流服务提供商，其清关服务可能产生假设的监管数据集；然而，这些数据是其核心业务的副产品，而不是产品，并且受到重大的 GDPR 和监管限制，没有近期战略触发因素。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
这些表格数据记录了二十多年的全球运输历史，提供了跨越所有大陆的物流交易的稀有、长期视角，用于市场和趋势分析。
Regulatory records
这个核心文本数据集源自一个专业的清关部门，包含关于复杂国际贸易法规的专有文档，对于训练和验证合规 AI 至关重要。
Industrial data
这些来自仓库管理的 زمن序列日志详细记录了物理资源分配和存储，为供应链优化模型提供了运营效率数据的真实层。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Over two decades
Update frequency
Periodic
Delivery
API or CSV export
Formats
Text
License
One-time license for internal use, AI model training, and regulatory compliance applications. Restrictions on redistribution.
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 proprietary dataset of regulatory compliance and transaction records for international logistics is highly valuable for AI training in a rapidly growing market. Its rarity and specific use-case for Regulatory RAG drive significant demand.
Detailed schema & sample available on access request.
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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
Mt Logistik Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global Big Data in Logistics Market = $4.3B in 2023, CAGR 21.5% (source: Global Market Insights, Inc.). Investment score 68.6/100 (confidence 0.49). Recommended action: Acquire.
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