Dataset opportunity
Logistikunicorp — 公共采购数据集机会
Logistikunicorp 持有的中等规模公共采购数据集，可用于招标情报和文档情报。
Score
67.1
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
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)
全球采购人工智能市场规模在 2023 年为 19 亿美元，预计到 2033 年将达到 226 亿美元，复合年增长率为 28.1%（来源：Market Research Future）。[6]
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
公共采购数据集
Modality
文本
Sector
零售
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（PII 审查）
Buyer persona
政府科技与采购情报供应商
Logistikunicorp 持有一个独特的公共采购数据集，以文本形式呈现，该数据集源自其广泛的采购、物联网和交易数据日志。这些丰富的历史和实时信息非常适合训练用于招标情报的 AI 模型，能够分析过去的合同授予情况、预测未来的采购需求以及优化投标策略。
采购领域 AI 市场在2023 年的估值为19 亿美元，预计到 2033 年将以惊人的 28.1% 的复合年增长率增长。[6] 这种爆炸式增长凸显了 Logistikunicorp 数据集的巨大价值。虽然访问需要处理人体测量数据中的敏感 PII 和政府及国防合同的安全许可，但该数据集的稀有性及其在这一高需求市场的直接应用，使其成为任何 AI 买家的高端且具有战略价值的资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：人体测量数据（尺寸）是高度敏感的 PII/GDPR 管控数据；大量数据与政府和国防合同相关（安全许可）；尺寸数据的所有权可能与企业/政府客户共享。· 企业：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 Logistikunicorp 拥有一个独特而详细的专有数据集，涵盖了大规模制服采购合同的整个生命周期。这些数据对于寻求构建预测模型的GovTech 和采购情报供应商来说是无价的，以实现招标情报。它能够创建 AI 工具，分析供应链的复杂性，预测需求，并预测在预计到 2033 年将达到 226 亿美元的全球采购领域 AI 市场中公共部门投标的成本。
See dimension details ↓- Dataset Specificity90
主导的“采购”，零售行业，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 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 Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于招标情报
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
AI 买家需求异常高，这得益于全球采购领域 AI 市场的爆炸式增长 28.1% 的复合年增长率，表明正在争夺专有数据以获得竞争优势。[6]
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
高难度，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 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 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 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 — 该公司是一家大型企业，其核心业务是制服和设备供应链的综合管理，而不是销售数据；这些复杂后勤服务产生的运营数据代表了一个强有力的机会。问题：该公司是一家大型企业，在全球拥有 2,000 多名员工，而不是中小企业。[3, 10, 12]；最初的线索“公共采购数据集”具有误导性；该公司的业务是赢得公共采购合同
- Deep Qualification80
✓ 通过 — Logistik Unicorp 是制服的管理服务提供商，而不是数据销售商。“公共采购数据集”是其管理大型政府和企业制服计划的核心业务的合理副产品，但数据高度敏感（人体测量、国防）且所有权
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据指向了用于定制制服配件的大规模专有人体测量数据集合，证明了持有者管理高度个性化、大规模后勤的能力。
Procurement / tenders
这些文本证据记录了大规模服装合同的完整供应链，从原材料采购到最终分销，为理解主要公共部门招标的履行情况提供了核心数据。
Transaction data
这些表格数据提供了产品性能的历史记录，包括磨损率和更换频率，这对于构建能够准确预测长期成本和维护计划以进行竞争性投标的 AI 至关重要。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Historical and Real-time
Update frequency
Real-time
Delivery
API
Formats
Text
License
One-time license for AI model training and tender intelligence applications.
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 proprietary nature and direct applicability to the rapidly growing AI in Procurement market. Its real-time freshness and unique focus on tender intelligence for large-scale uniform procurement make it highly sought after.
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
Logistikunicorp Public Procurement — a Moderate public procurement dataset (Text modality) in the industrial domain. Primary AI use-case: Tender Intelligence. Market signal: Global Procurement Analytics Market was valued at USD 3.8 billion in 2022, with a projected CAGR of over 23% (2023-2032) (source: GMI7293). [8]. Investment score 47.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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