Dataset opportunity
Cretschmarcargo — Public Procurement Dataset Opportunity
Moderate public procurement dataset held by Cretschmarcargo, usable for Tender Intelligence and Document Intelligence.
Score
70.2
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
Acquire
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 was valued at $3.8 Billion in 2022, forecast to grow at a CAGR of 23% (2023-2032).
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-03
Nuclear Verdicts: $86M awarded despite NO negligence? [Trucking Crisis]
freightwaves.com ↗ - 📰press2026-07-30
Data orchestration problems facing commercial carriers
fleetowner.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
Public Procurement Dataset
Modality
Text
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify
Buyer persona
GovTech & procurement-intelligence vendors
Cretschmarcargo holds a valuable Public Procurement Dataset in Text modality, derived from its extensive operational history in logistics. This data, evidenced by procurement, industrial, and IoT data streams, offers deep insights into historical tender specifications, pricing structures, and client requirements, making it ideal for developing a sophisticated Tender Intelligence AI model.
The global procurement analytics market was valued at USD 3.8 billion in 2022 and is projected to grow with a CAGR of 23% between 2023 and 2032. [2] Despite access complexities—such as the need to anonymize client shipment details from legacy TMS/WMS and navigate customs regulations—the rarity and strategic value of this data for creating a competitive advantage in tender bidding is significant. ⚠ Diligence (valuable data, access to negotiate): Operational data is intertwined with client shipment details requiring anonymization; Data resides in legacy Transport Management Systems (TMS) and Warehouse Management Systems (WMS); Cross-border freight data involves complex customs regulatory constraints · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Evidence confirms Cretschmarcargo holds a proprietary dataset of international trade and customs clearance records, generated directly from its European logistics operations. This textual data is a critical asset for Tender Intelligence platforms, enabling GovTech and procurement vendors to model and predict complex trade flows. In a global procurement analytics market forecast to grow at 23% annually, this dataset offers a unique, operational view of public and private sector supply chains.
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 Freshness82
real-time/streaming
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 the rapidly expanding **procurement analytics** market, which is growing at a **CAGR of 23%**. [2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
restricted/unknown
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
medium 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 License36
ownership=mixed, licensing=rights_unclear
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 Orientation22
0 data-appetite signals (0 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high, 2 recent external signals — 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 Audit92
✓ good target — A medium-sized German logistics and freight company with a long history, its core business is physical transport, making its operational data a valuable, untapped by-product. Issues: The company is part of several large logistics networks (e.g., System Alliance Europe), which could complicate data ownership or exclusivity.; The initial hint about 'Public Procurement Dataset' was not substantiated in the research and appears irrelevant to their core business.
- Deep Qualification80
✓ pass — Cretschmarcargo is a traditional logistics service provider, not a data broker. The existence of a 'Public Procurement Dataset' as a byproduct of its business is plausible, but this data is highly sensitive under GDPR and intertwined with client operations, with no evidence of data commercialization.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
This evidence indicates the availability of granular, time-series data from the real-time tracking of shipments, offering a valuable asset for verifying trade routes and modeling supply chain logistics.
Industrial data
The holder generates time-series data from its specialized logistics centers, including for hazardous materials, which is critical for understanding compliance and risk within high-value procurement chains.
Procurement / tenders
This dataset comprises extensive textual records detailing customs clearance and international trade flows, providing raw, operational intelligence for training tender prediction 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
Cretschmarcargo 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 was valued at $3.8 Billion in 2022, forecast to grow at a CAGR of 23% (2023-2032) (source: Global Market Insights, Inc.). [2]. Investment score 70.2/100 (confidence 0.49). Recommended action: Acquire.
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