Dataset opportunity
Dutchgloballogistics — Industrial Operations Dataset Opportunity
Moderate industrial operations dataset held by Dutchgloballogistics, usable for Industrial Monitoring and Forecasting.
Score
62.7
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 Transportation Management System (TMS) market was valued at $16.8 billion in 2024, with a projected CAGR of 20.0% (2024-2030).
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
Industrial Operations Dataset
Modality
Time Series
Sector
mobility
Volume
Moderate
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify · PII/regulated
Buyer persona
Industrial AI integrators
Dutchgloballogistics holds a detailed Industrial Operations Dataset structured as Time Series data, derived from its core business_records and transaction_data. This granular data, likely originating from a Transportation Management System (TMS), includes operational metrics such as shipment statuses, carrier transit times, and delivery schedules, making it highly suitable for training Industrial Monitoring AI models to predict delays, optimize routes, and monitor asset performance.
The business value of this data is underscored by the global Transportation Management System market, which was valued at USD 16.8 billion in 2024 and is projected to grow at a CAGR of 20.0% through 2030. [3] Despite potential access complexities, such as data ownership tied to clients or third-party carrier involvement, the valuable and rare nature of this industrial_data makes it a high-demand asset for AI buyers seeking a competitive edge in logistics optimization. ⚠ Diligence (valuable data, access to negotiate): Operational data is likely stored in a Transportation Management System (TMS) or ERP; Ownership of specific shipment details may be contractually tied to clients; Carrier performance data involves third-party logistics providers · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves DutchGlobalLogistics possesses a rare, proprietary dataset detailing end-to-end logistics operations, from multimodal freight transactions to granular, facility-level performance metrics. The core time-series data on throughput rates and storage is a powerful asset for Industrial AI integrators developing next-generation industrial monitoring and optimization solutions. In a Transportation Management System (TMS) market projected to grow at 20% annually, this dataset provides the ground-truth information needed to build AI that enhances supply chain visibility and operational efficiency.
See dimension details ↓- Dataset Specificity78
dominant 'industrial_data', sector mobility, 2 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity70
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 Value74
fit for Industrial Monitoring
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 very high, driven by the significant growth in the Transportation Management System market, which is expanding at a 20.0% CAGR. [3]
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
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 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 Surplus92
surplus=high — 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 — Dutch Global Logistics is an ideal target as it is a contactable SME focused on operational logistics, likely generating valuable, dormant data from its transport, warehousing, and customs activities without any indication of selling data or intelligence as a core product.
- Deep Qualification60
✓ pass — Dutch Global Logistics is a freight forwarder and warehousing service provider, making the existence of an 'Industrial Operations Dataset' plausible as a byproduct of its WMS and transport operations. However, the absence of specific terms of service beyond the general FENEX conditions prevents any conclusion on data ownership and licensing rights.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
The company holds detailed tabular logs of global air, ocean, and road freight, providing crucial logistics intelligence for training models that optimize complex shipping routes and predict transit times.
Industrial data
This high-rarity time-series data captures granular operational performance from a key European hub, including throughput rates and inventory levels, which is essential for building and validating predictive maintenance and automation AI.
business_records
These historical documents contain structured performance data on third-party carriers, offering a unique source for building sophisticated carrier selection and supply chain risk assessment models.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
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Dutchgloballogistics Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Transportation Management System (TMS) market was valued at $16.8 billion in 2024, with a projected CAGR of 20.0% (2024-2030) (source: P&S Intelligence). [3]. Investment score 62.7/100 (confidence 0.49). Recommended action: Acquire.
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Learn before you deal
- What is a Dataset Worth?3 min read
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- What you are entitled to sell3 min read