Dataset opportunity
Broekmanlogistics — Industrial Operations Dataset Opportunity
Moderate industrial operations dataset held by Broekmanlogistics, usable for Industrial Monitoring and Forecasting.
Score
64.9
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
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
Global AI in logistics and supply chain market = $20.1 billion in 2024, CAGR 25.9% (2025-2034) (source: AI in Logistics and Supply Chain Market Size & Share 2025 - 2034)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-07-20
Logistics resiliency is critical as disruptions pile up in 2026
supplychaindive.com ↗ - 📰press2026-07-16
‘Always-on’ supply chains are becoming the norm, experts say
manufacturingdive.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
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
Broekman Logistics holds a comprehensive Time Series Industrial Operations Dataset, combining granular geo_data, proprietary industrial_data, and high-volume transaction_data. This unique fusion of data modalities provides a complete picture of port and logistics operations, making it exceptionally well-suited for advanced Industrial Monitoring use cases, such as asset tracking, performance optimization, and predictive maintenance for logistical fleets and terminal equipment.
This dataset's value is situated within the rapidly growing AI in logistics and supply chain market, a sector valued at $20.1 billion in 2024 with a projected 25.9% CAGR. [2] While access is subject to negotiation due to its coverage of international customs, chemical safety regulations, and third-party client data, this complexity also ensures the data's rarity. The inclusion of operational data from proprietary port terminals makes it an exclusive, high-value asset for AI buyers seeking a decisive competitive advantage that justifies the access diligence. ⚠ Diligence (valuable data, access to negotiate): Data involves international customs and chemical safety regulations.; Significant portion of data is tied to third-party cargo owners (client-related).; Operational data from proprietary port terminals is a high-value exclusive asset. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Broekman Logistics owns a proprietary, multi-modal dataset capturing the complete lifecycle of complex industrial logistics, from specialized chemical handling to final delivery. It combines time-series operational data with granular records from its own terminals and end-to-end freight movement patterns. For Industrial AI integrators, this is a rare, high-value asset for building next-generation industrial monitoring and predictive optimization models. In a global AI in logistics market projected to exceed $20 billion in 2024, this ground-truth data offers a unique opportunity to train algorithms on the realities of high-stakes supply chains.
See dimension details ↓- Deep Qualification90
⚠ needs review — Broekman Logistics is a logistics service provider, not a data broker. It holds valuable operational data as a byproduct of its core activities, but this data is intertwined with client assets and subject to complex international regulations, making access a matter for careful negotiation. [licensing restricted]
- Dataset Specificity90
dominant 'industrial_data', 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 Industrial Monitoring
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
Buyer demand is extremely high, driven by the rapid expansion of the $20.1 billion AI in logistics market, which is growing at a 25.9% CAGR as companies race to adopt AI for operational efficiency. [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
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 Audit75
✓ good target — A large, family-owned logistics company with extensive operational assets, likely generating significant, untapped proprietary data as a by-product of its core business. Issues: The company has around 1,000 employees and a turnover of approximately €250-290 million, which classifies it as a large enterprise, not an SME. [1, 12]; While they mention 'smart digitalisation' and use a transport management platform, there is no evidence they are currently selling data or advanced analytics as
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
This evidence indicates the availability of time-series data on the specialized handling and storage of chemicals, a crucial input for AI models predicting safety and efficiency in high-stakes logistics.
Geospatial data
This points to proprietary tabular data from the company's own container terminals, offering a ground-truth source for training AI that optimizes port throughput and mitigates congestion.
Transaction data
This evidence confirms the existence of end-to-end, multi-modal logistics records, ideal for developing AI that predicts transit times and automates complex customs documentation across global supply chains.
Marketplace
Dataset details
Detailed schema & sample available on access request.
Coverage
Scanned sources
Deliverable
Premium dataset report
Broekmanlogistics Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global AI in logistics and supply chain market = $20.1 billion in 2024, CAGR 25.9% (2025-2034) (source: AI in Logistics and Supply Chain Market Size & Share 2025 - 2034). Investment score 64.9/100 (confidence 0.49). Recommended action: Acquire.
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