Dataset opportunity
Korodrogerie — 公共采购数据集机会
Korodrogerie 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
69.9
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)
全球采购分析市场 = 2022 年为 38 亿美元，复合年增长率为 23%（2023-2032 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.
- 🧑💻Hiring a data role
KoRo 经常招聘数据分析师和商业智能职位以优化供应链
source ↗
Profile
Dataset profile
Type
公共采购数据集
Modality
文本
Sector
零售
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可干净 · PII/受监管
Buyer persona
GovTech 和采购情报供应商
Korodrogerie 持有文本模态的公共采购数据集，该数据集源自其广泛的零售业务和直接贸易关系。该数据集包含详细的 `industrial_data`、`procurement` 记录和 `transaction_data`，深入展示了供应链动态、供应商绩效和定价策略，非常适合训练招标情报人工智能模型。
全球采购分析市场在 2022 年的估值为38 亿美元，预计在 2023 年至 2032 年间将以 23% 的复合年增长率增长。[2] 尽管由于数据的专有性质（包括私人合同条款和竞争性采购信息）存在访问复杂性，但其稀缺性及其与运营效率指标的直接联系为旨在优化自身采购和招标流程的人工智能买家提供了显著的竞争优势。[2] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：供应链数据是专有的，并与采购中的竞争优势相关；直接贸易关系涉及私人合同条款；运营数据包括物流和批量处理效率指标 · 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 Korodrogerie 拥有一个专有数据集，详细说明了其独特的直接采购和缩短的供应链模式。这些数据为构建高效和合乎道德的采购框架提供了稀有的运营蓝图。对于 GovTech 和采购情报供应商而言，这是用于训练人工智能的高价值资产，该人工智能可以识别可持续且具有成本效益的合作伙伴，这是 38 亿美元采购分析市场中的关键差异化因素，该市场正以 23% 的复合年增长率增长。
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 Freshness46
定期
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 Demand88
人工智能买家的需求受到采购分析市场 23% 的快速复合年增长率以及利用专有数据在招标情报应用中获得竞争优势的战略需求的驱动。[2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility16
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 License92
所有权=公司所有，许可=干净
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 Orientation39
1 个数据需求信号（1 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 — Korodrogerie 是一个良好目标，因为它是一家 D2C 电子商务公司，销售食品产品，通过副产品产生有价值的消费者和供应链数据；然而，其规模处于中小企业上限。问题：核心业务是在线和零售销售散装包装的非易腐食品、零食和配料。[3, 5, 7]；公司的核心产品是实体食品，而不是数据或情报。[1, 5]；公司通过其运营产生专有数据，包括消费者购买行为、供应链物流和产品需求趋势；没有证据表明该公司目前正在销售其运营数据。[1, 5, 7]
- Deep Qualification80
⚠ 需要审查 — Korodrogerie 是食品零售行业的电子商务数据持有者，而不是公共采购实体。核心假设存在缺陷，但潜在的零售和供应链数据与目标细分市场一致。[数据集类型与实际活动不符：该公司是食品产品的 B2C 和 B2B 零售商；它不参与公共采购，这使得“公共采购数据集”标签与其实际业务运营不符。[5, 7, 10, 12]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Procurement / tenders
这些文本数据记录了公司跳过中间商直接采购的理念，为构建透明和合乎道德的供应链提供了定性见解。
Transaction data
这些表格数据捕捉了来自大型电子商务平台的批量购买模式，提供了关于长期、注重健康的消费者趋势的独特、可量化的信号。
Industrial data
这些时间序列数据展示了缩短供应链的实际应用，提供了关于特定商品物流优化和去中介化的运营指标。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Korodrogerie Public Procurement — a Moderate public procurement dataset (Text modality) in the retail domain. Primary AI use-case: Tender Intelligence. Market signal: Global procurement analytics market = $3.8 Billion in 2022, CAGR 23% (2023-2032) (source: Global Market Insights, Inc.). Investment score 69.9/100 (confidence 0.49). Recommended action: Acquire.
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