Dataset opportunity
Kroll Spedition — Industrial Operations Dataset Opportunity
Moderate industrial operations dataset held by Kroll Spedition, usable for Industrial Monitoring and Forecasting.
Score
69.3
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
51%
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
$$$ — high AI buyer demand
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
Steel imports down 30% in 2026 as tariffs bolster US production
manufacturingdive.com ↗ - 📰press2026-06-04
Tariff fraud enforcement targets importers over alleged duty evasion
freightwaves.com ↗ - 📰press2026-06-04
Deere recovers $272M in tariff refunds
supplychaindive.com ↗ - 📰press2026-06-03
Trump admin appeals aspects of tariff refund order
supplychaindive.com ↗ - 📰press2026-06-03
Trump further tweaks steel, aluminum, copper tariffs
medtechdive.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.
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
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
Industrial AI integrators
Public web signals indicate Kroll Spedition (mobility sector) holds a industrial operations dataset (time series). Detected via geo_data, industrial_data, transaction_data evidence across 0 sources. Dominant evidence: industrial_data. ⚠ Diligence (valuable data, access to negotiate): GDPR-sensitive data due to personal information of senders/recipients.; Data potentially distributed across various operational systems. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Kroll Spedition possesses a highly valuable, proprietary dataset primarily comprising Time Series data derived from its extensive industrial operations in global freight forwarding and warehousing. This unique collection offers critical insights for Industrial AI integrators seeking to enhance monitoring and optimization within complex logistics and supply chain environments. Given the high market demand for such specialized operational data, this opportunity is particularly compelling for AI buyers focused on real-world industrial applications.
See dimension details ↓- 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 Volume58
4 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 Demand95
The AI in Mobility market is projected to grow at a Compound Annual Growth Rate (CAGR) of 44.6% from 2026 to 2035, indicating a very high and rapidly increasing demand for AI-driven solutions, which rely heavily on industrial operations dat
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 Strength65
3 evidence types, 4 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
ownership=owned, 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 Surplus92
surplus=high, 5 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 — Kroll Spedition is an international freight forwarder and logistics company that generates significant operational data as a by-product of its core business, without currently selling this data or intelligence derived from it. Issues: Exact employee count and revenue for Kroll Internationale Spedition GmbH are not explicitly stated in the search results, making the SME assessment an estimatio
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
This evidence confirms Kroll's ownership of Time Series data reflecting real-time operational performance from their warehousing and global transport services, which is crucial for advanced industrial monitoring and logistics optimization solutions.
Geospatial data
This evidence indicates Kroll generates tabular data detailing CO2 emissions calculations for shipments, offering valuable insights for sustainable logistics and environmental impact analysis.
Transaction data
This evidence shows Kroll processes tabular data related to customs formalities and necessary documentation for international export and import, providing critical inputs for supply chain visibility and trade compliance.
Coverage
Scanned sources
Deliverable
Premium dataset report
Kroll Spedition Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: $$$ — high AI buyer demand. Investment score 69.3/100 (confidence 0.51). Recommended action: Data Sharing Agreement.