Dataset opportunity
Denholm Goodlogistics — Regulatory Records Dataset Opportunity
Moderate regulatory records dataset held by Denholm Goodlogistics, usable for Regulatory RAG and Compliance Copilots.
Score
69.4
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
49%
Action
Partnership (group-level)
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 Supply Chain Visibility Software Market = $2.5 billion in 2025, CAGR 17.6%.
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-03
CH Robinson: the most expensive computer error in freight history wasn’t AI – it was a settlement calculator
theloadstar.com ↗ - 📰press2026-07-30
Allo Solar optimise sa gestion de flux avec Speed WMS
supplychainmagazine.fr ↗
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
Regulatory Records Dataset
Modality
Text
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify
Buyer persona
RegTech & compliance-AI vendors
Denholm Goodlogistics holds a Regulatory Records Dataset in Text modality, evidenced by `event_streams`, `geo_data`, and `regulatory` files. This data provides a detailed, real-world log of compliance and operational events, making it highly suitable for training and grounding a Regulatory RAG model for the mobility and logistics sector.
This data is critical for the Supply Chain Visibility Software market, a segment valued at $2.5 billion in 2025 and projected to grow at a 17.6% CAGR. [1] While access requires navigating complexities like client data anonymization, parent group approval, and overlap with the proprietary Lighthouse platform, the dataset's value is underscored by this significant market growth and its rarity, offering a unique competitive advantage for AI-driven compliance solutions. ⚠ Diligence (valuable data, access to negotiate): Operational data is intertwined with client shipment records requiring anonymization; Data access likely requires approval from the parent Denholm Group; Proprietary Lighthouse platform already monetizes some visibility data · corporate: subsidiary of J. & J. Denholm Limited.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Denholm Goodlogistics owns a proprietary, operational dataset detailing the real-world application of global trade regulations. This is a critical asset for RegTech and compliance-AI vendors seeking to build next-generation Regulatory RAG systems. In a supply chain visibility market growing to $2.5 billion, this dataset provides the unique, high-rarity text data needed to connect customs and tariff rules to physical logistics, offering a distinct competitive advantage.
See dimension details ↓- Dataset Specificity90
dominant 'regulatory', 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 Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
fit for Regulatory RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand80
AI buyer demand is strong, driven by the need for compliance automation and risk mitigation in the rapidly growing Supply Chain Visibility market (17.6% CAGR). [1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
restricted/unknown
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility15
medium difficulty, subsidiary of J. & J. Denholm Limited
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 Independence50
subsidiary of J. & J. Denholm Limited
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, 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 Audit92
✓ good target — This is a strong target; it's a logistics and freight forwarding company with a real operational business, generating proprietary data (shipping, customs, warehousing) as a by-product, and there is no evidence they currently sell this data or related intelligence. Issues: The company is a recent merger (Jan 2024) of Denholm Global Logistics and Good Logistics. [1, 12]; It is part of the larger Denholm Group, which is a significant entity (£429 million turnover, 1,500+ employees), so it may not fully operate like a standalone S
- Deep Qualification70
✓ pass — The target is a traditional 3PL/4PL service provider, making the regulatory dataset plausible but intertwined with customer data and likely monetized through their existing 'Connect' platform, not held as a dormant asset.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
This time-series data tracks historical freight transit times, providing logistics planners with the context to model risk and benchmark carrier performance against real-world delays.
Regulatory records
These extensive text records of customs clearance processes and tariff classifications are the core asset for RegTech firms building AI to automate and de-risk international trade compliance.
Geospatial data
This proprietary tabular data on port and terminal efficiency offers a ground-truth layer for predicting delays, directly linking operational bottlenecks like port congestion to shipment outcomes.
Marketplace
Dataset details
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
Denholm Goodlogistics Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global Supply Chain Visibility Software Market = $2.5 billion in 2025, CAGR 17.6% (source: Market.us). Investment score 69.4/100 (confidence 0.49). Recommended action: Partnership (group-level).
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