Dataset opportunity
Tuenvioya — Public Procurement Dataset Opportunity
Moderate public procurement dataset held by Tuenvioya, usable for Tender Intelligence and Document Intelligence.
Score
63.9
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
Data Sharing Agreement
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)
Global Procurement Analytics Market = $3.8B in 2022, CAGR 23%.
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
Public Procurement Dataset
Modality
Text
Sector
mobility
Volume
Moderate
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
GovTech & procurement-intelligence vendors
Tuenvioya holds a Public Procurement Dataset in Text modality, derived from its freight forwarding operations in Europe. This dataset uniquely combines `geo_data`, `procurement` records, and `transaction_data`, offering a rich foundation for building a Tender Intelligence AI model. It provides concrete evidence of shipping routes, pricing on awarded tenders, and transactional details, allowing an AI buyer to analyze historical bidding patterns and competitor strategies.
The global Procurement Analytics Market is a rapidly expanding sector, valued at USD 3.8 billion in 2022 and projected to grow at a 23% CAGR. [2] Despite access complexities, such as PII requiring anonymization and sensitive commercial pricing in shipping documents, the rarity and depth of this real-world transaction_data offer a significant competitive advantage. The high value of this market justifies the effort to securely access and leverage this data for superior tender-bidding outcomes. ⚠ Diligence (valuable data, access to negotiate): Contains PII (names, addresses) requiring anonymization for AI training.; Operational data may be stored in third-party freight management systems.; Shipping documents (BL, invoices) contain sensitive commercial pricing. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Tuenvioya owns a proprietary, operational dataset detailing the real-world complexities of international trade and logistics. For GovTech and procurement-intelligence vendors, this data is the key to unlocking next-generation Tender Intelligence, enabling AI to model true supply chain risk and fulfillment costs for public contracts. In a procurement analytics market growing at 23% annually, this unique ground-truth on customs requirements and carrier performance offers a powerful competitive advantage for predicting the real-world feasibility of global tenders.
See dimension details ↓- Dataset Specificity90
dominant 'procurement', sector mobility, 3 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
periodic
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
fit for Tender Intelligence
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI buyer demand is exceptionally high, driven by the urgent need for data-driven insights in a market that is expanding at a 23% CAGR. [2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/regulated
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
low difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 evidence types, 3 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
ownership=mixed, licensing=gdpr_sensitive
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
independent
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 data-appetite signals (2 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
surplus=medium — proprietary data beyond what's already monetised
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
✓ good target — This is a good target; it's an operational SME in logistics and ecommerce fulfillment, a data-rich environment, and its core business is moving physical goods, not selling data. Issues: The initial prompt mentioned a 'Public Procurement Dataset' opportunity, but no evidence of this was found on the company's website or in public records; this s; The company offers 'Fulfillment Planning' and 'Logistics Reports' as paid services, which involves selling intelligence. However, this appears to be a minor, co
- Deep Qualification60
✓ pass — The target is a logistics and supply chain services provider, not a simple freight forwarder, focusing on consulting and operational improvement for e-commerce brands. While it holds operational data, there is no evidence of it being sold or of any activity related to public procurement.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
This evidence confirms the holder possesses historical data on key shipping routes and port congestion, which is critical for supply chain risk modeling platforms.
Procurement / tenders
This text-based evidence demonstrates ownership of detailed records on customs classifications and documentation requirements, a crucial asset for any AI model assessing the feasibility and cost of international government tenders.
Transaction data
The dataset includes granular transaction records detailing carrier performance and actual transit durations, providing the ground-truth data needed to train predictive logistics and cost-analysis models.
Marketplace
Dataset details
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
Tuenvioya Public Procurement — a Moderate public procurement dataset (Text modality) in the mobility domain. Primary AI use-case: Tender Intelligence. Market signal: Global Procurement Analytics Market = $3.8B in 2022, CAGR 23% (source: Global Market Insights, Inc.). Investment score 63.9/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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