Dataset opportunity
Agri Expert — 交易数据集机会
Agri Expert 持有的中等规模交易数据集，可用于推荐模型和欺诈检测。
Score
64.6
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
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
全球基于AI的推荐系统市场 = 2024年53.9亿美元，复合年增长率36.33% (来源: [14])
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-05
Jungheinrich teste des batteries sodium-ion pour ses chariots
supplychainmagazine.fr ↗ - 📰press2026-06-05
Comment les territoires peuvent réduire la facture climatique de l’agriculture
lafranceagricole.fr ↗ - 📰press2026-06-05
Black Marker, Magnetic Signs, and Peeling Decals: Here Is What 49 CFR 390.21 Actually Requires.
freightwaves.com ↗ - 📰press2026-06-04
Nominate Your Company for the 2026 AI Excellence in Supply Chain Award
freightwaves.com ↗ - 📰press2026-06-04
Knight-Swift founder, executive chairman Kevin Knight retires
freightwaves.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.
Profile
Dataset profile
Type
交易数据集
Modality
表格数据
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR敏感（PII审查）
Buyer persona
电子商务和个性化AI团队
Agri Expert 拥有丰富的交易数据集，采用表格形式，包含事件流、交易数据和用户生成内容 (UGC)。这种细粒度数据非常适合在工业领域开发复杂的推荐模型，从而实现高度个性化的建议和优化的客户参与。
基于AI的推荐系统市场正在经历显著增长，预计到2034年将超过1194.3亿美元，复合年增长率 (CAGR) 达到36.33%。这凸显了此类数据巨大的商业价值，尤其是在B2B应用中，交易数据对于销售预测、客户细分和定价优化至关重要。尽管管理GDPR敏感客户数据固有的复杂性，但其潜在的巨大回报（包括通过有效推荐将转化率提高高达70%）使得该数据集极具价值，前提是必须精心实施健全的数据治理和合规性。⚠ 尽职调查（有价值的数据，可协商访问）：GDPR敏感客户数据 · 企业：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Agri Expert 拥有专有且极具价值的交易数据集合，通过真实的用户生成内容和详细的事件流进行丰富，所有这些都来源于其专业的农业电子商务平台。这种独特的组合提供了对工业领域客户购买行为和产品交互的细粒度视图，直接满足了电子商务和个性化AI团队的迫切需求。随着全球基于AI的推荐系统市场快速增长，该数据集为现在开发先进的推荐模型和增强个性化引擎提供了关键基础。
See dimension details ↓- Dataset Specificity78
主要为“交易数据”，工业领域，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 Freshness82
实时/流式
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适用于推荐模型
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand88
全球推荐引擎市场预计在2025年至2033年间将以37%的复合年增长率 (CAGR) 增长，这表明对构建和训练这些引擎所需的基础交易数据存在强劲且不断增长的需求。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
个人身份信息/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个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
所有权=自有，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个数据需求信号（0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 — 超出已货币化部分的专有数据
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 Audit92
✓ 良好目标 — Agri Expert (agri-expert.fr) 是一家销售农业备件的电子商务公司，其交易数据是其核心运营业务的副产品，目前不销售数据或情报，因此是一个良好目标。问题：客户对联系响应速度的反馈不一；可能与其他名为“Agri Expert”的实体混淆。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
这种表格数据代表了农业备件销售的全面记录，直接提供了对购买行为和产品受欢迎程度的洞察，这对于训练推荐模型来说是无价的。
User-generated content
该数据包含文本客户评论，提供了关于产品满意度和服务质量的真实定性反馈，这对于完善个性化算法和理解客户情绪至关重要。
Event streams
这种时间序列数据捕获了细粒度的网站交互和用户偏好，从而能够开发动态的用户画像并为实时个性化优惠提供信息。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Tabular
License
One-time license for use in developing and deploying recommendation models within the industrial sector.
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 transaction dataset, enriched with event streams and UGC from a specialized agricultural e-commerce platform, offers high value for developing sophisticated recommendation models in the industrial sector. The strong market growth for AI-based recommendation systems (CAGR 36.33%) further amplifies its demand.
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
Agri Expert Transaction — a Moderate transaction dataset (Tabular modality) in the industrial domain. Primary AI use-case: Recommendation Models. Market signal: Global AI-Based Recommendation System Market = USD 5.39 billion in 2024, CAGR 36.33% (source: [14]). Investment score 64.6/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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