Dataset opportunity
Fretlink — Industrial Operations Dataset Opportunity
Moderate industrial operations dataset held by Fretlink, usable for Industrial Monitoring and Forecasting.
Score
74.4
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
56%
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 Industrial IoT market = USD 514.39 billion in 2025, CAGR 16.8% (2026-2035). The Big Data in Logistics market, a key segment, was valued at USD 6.30 billion in 2025 and is projected to reach USD 53.66 billion by 2036, with a CAGR of 21.50% (2026-2036).
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-03
Old Dominion’s May update shows an improving LTL market
freightwaves.com ↗ - 📰press2026-06-03
Manufacturing’s recovery broadens as industrial demand leads the freight upcycle
freightwaves.com ↗ - 📰press2026-06-03
FreightWaves Today Debuts as Spot Rates Hit a Record
freightwaves.com ↗ - 📰press2026-06-01
US manufacturing expands to highest level since May 2022: PMI
supplychaindive.com ↗ - 📰press2026-06-01
US manufacturing expands to highest level since May 2022: PMI
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
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — clean to license · PII/regulated
Buyer persona
Industrial AI integrators
Fretlink possesses a rich Industrial Operations Dataset from the mobility sector, comprising Time Series data including event streams, geo-data, industrial data, and transaction data. This granular and real-time information is highly suitable for advanced Industrial Monitoring applications, enabling predictive maintenance, operational optimization, and data-driven decision-making across logistics and transportation operations.
Despite the inherent complexities of data access, such as aggregation from multiple clients and carriers requiring stringent data governance and anonymization, and the necessity for data sharing agreements due to integration with client management systems, this data remains exceptionally valuable and rare. The quantified business value of such data is substantial, with the global Industrial IoT market projected to reach significant market size and exhibit strong CAGR, underscoring the high demand from AI buyers for insights that drive efficiency and cost reduction in industrial processes. ⚠ Diligence (valuable data, access to negotiate): Data is aggregated from multiple clients and carriers, requiring careful data governance and anonymization for external use.; Integration with client management systems implies data sharing agreements. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Fretlink possesses a proprietary and high-rarity dataset of industrial operations and logistics events, captured directly from their platform. This rich, time-series and tabular data is directly relevant for Industrial AI integrators seeking to build advanced Industrial Monitoring solutions. With the Global Industrial IoT market projected to reach USD 514.39 billion by 2025 and Big Data in Logistics growing at a 21.50% CAGR, this dataset offers a critical, real-world lens into optimizing complex supply chains, making it exceptionally valuable now.
See dimension details ↓- Dataset Specificity100
dominant 'industrial_data', sector mobility, 4 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity94
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 Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value94
fit for Industrial Monitoring
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand92
The global AI Training Dataset Market, which includes data for industrial automation and mobility, is projected to grow at a CAGR of 24.16% from 2026 to 2035, reaching USD 52.41 billion by 2035.
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility16
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 Strength74
4 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 License58
ownership=mixed, licensing=clean
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, 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 — Fretlink operates a real operational business as a freight transportation marketplace, generating valuable proprietary data as a by-product to optimize its services for shippers and carriers, and does not appear to sell this data or derived intelligence as its core product.
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 Fretlink centralizes time-series data across the entire transportation chain, from shipper needs to capacity and plans, providing granular insights crucial for logistics optimization and predictive analytics.
Geospatial data
This indicates Fretlink captures tabular geographic data related to transport plan implementation and execution, essential for route optimization, asset tracking, and enhancing supply chain efficiency.
Event streams
This confirms Fretlink generates real-time event streams covering freight matching, load utilization, and operational tracking, offering a dynamic view for real-time monitoring and anomaly detection in logistics.
Transaction data
This evidence shows Fretlink records tabular transaction data based on a commission model, providing a commercial layer that links operational activities directly to financial outcomes and business performance.
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
JSON, CSV
License
One-time license for industrial monitoring and operational optimization use cases. Data governance and anonymization required.
Personal data
Contains PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This dataset's value is driven by its high rarity, proprietary nature, and real-time industrial operations data within the high-growth mobility sector. Strong market demand from Industrial IoT and Big Data in Logistics segments supports a premium valuation.
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
Fretlink Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial IoT market = USD 514.39 billion in 2025, CAGR 16.8% (2026-2035). The Big Data in Logistics market, a key segment, was valued at USD 6.30 billion in 2025 and is projected to reach USD 53.66 billion by 2036, with a CAGR of 21.50% (2026-2036).. Investment score 74.4/100 (confidence 0.56). Recommended action: Acquire.
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