Dataset opportunity
Vanduuren — Mobility Event Dataset Opportunity
Moderate mobility event dataset held by Vanduuren, usable for Forecasting and Anomaly Detection.
Score
68
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 Big Data in Logistics Market size was valued at $4.3 billion in 2023, with a projected CAGR of 21.5% (2024-2032).
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
Mobility Event Dataset
Modality
Time Series
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
Quant funds & demand-forecasting AI teams
Vanduuren holds a comprehensive Mobility Event Dataset structured as a Time Series, derived from its core business records, live event streams, and detailed geo-data. This rich dataset captures the complete lifecycle of shipments, making its temporal and granular nature exceptionally well-suited for AI-driven Forecasting applications, such as predicting demand, transit times, and potential operational delays.
The business value of this data is underscored by the global Big Data in Logistics Market, which was valued at $4.3 billion in 2023 and is projected to grow at a 21.5% CAGR. [1] While access requires navigating complexities like client data anonymization, multi-party consent for network data, and GDPR compliance for PII, the rarity and depth of this operational data offer a significant competitive advantage for AI buyers aiming to optimize complex supply chain networks. [1] ⚠ Diligence (valuable data, access to negotiate): Operational data is intertwined with client shipment details requiring strict anonymization; Network data involves third-party partner performance which may require multi-party consent; Real-time tracking data contains PII (drivers/recipients) sensitive under GDPR · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Vanduuren operates a proprietary, pan-European network generating real-time logistics data. This high-rarity dataset of mobility events is ideal for training sophisticated forecasting models to predict supply chain disruptions and demand shifts. For quant funds and AI teams, this data offers a unique source of alpha in a global logistics data market projected to grow at over 21% annually.
See dimension details ↓- Dataset Specificity78
dominant 'event_streams', 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 Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
fit for Forecasting
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 extremely high, driven by the critical need for real-time insights and operational efficiency in a logistics data market growing at a 21.5% CAGR. [1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
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 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 Orientation73
3 data-appetite signals (3 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 — Vanduuren is an ideal target, being an operational SME in European logistics that generates proprietary shipment and fleet data as a by-product and explicitly states in its privacy policy that it does not sell data. [3, 4, 2] Issues: The name 'Van Duuren' is common in the Dutch logistics sector, with other distinct family companies existing (e.g., Jan van Duuren & Zn BV), which requires prec; The company's website is primarily vanduuren.nl, though the provided .com address redirects correctly. [1]
- Deep Qualification90
⚠ needs review — While the target holds a coherent and valuable mobility dataset, its privacy policy explicitly forbids selling data to third parties, making it a restricted opportunity. [data is owned by the company's customers; licensing restricted]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
This evidence points to a proprietary time-series feed of real-time information, capturing operational events across a high-quality pan-European network.
Geospatial data
This indicates ownership of structured geospatial data on established European transport routes, including partner networks and known operational constraints.
business_records
This sample from their 'Control Tower' system signifies internal process documentation that provides context on how the end-to-end logistics data is managed and controlled.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
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Deliverable
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Vanduuren Mobility Event — a Moderate mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: Global Big Data in Logistics Market size was valued at $4.3 billion in 2023, with a projected CAGR of 21.5% (2024-2032) (source: Global Market Insights). [1]. Investment score 68.0/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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