Dataset opportunity
Rocargo — Regulatory Records Dataset Opportunity
Moderate regulatory records dataset held by Rocargo, usable for Regulatory RAG and Compliance Copilots.
Score
59.6
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
42%
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 size (indicative estimate)
Global AI in logistics and supply chain market = $20.1 billion in 2024, CAGR 25.9%.
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
Regulatory Records Dataset
Modality
Text
Sector
mobility
Volume
Moderate
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — licensing rights to clarify · PII/regulated
Buyer persona
RegTech & compliance-AI vendors
Rocargo holds a Regulatory Records Dataset in Text modality, containing regulatory filings and transaction_data from its freight forwarding and customs brokerage operations. This structured evidence is highly suitable for the target Regulatory RAG use case, providing real-world data to train AI on specific customs and logistics rules, with unique depth in the Caribbean (ABC islands) trade corridor.
The business value is underscored by the global AI in logistics and supply chain market, which was valued at $20.1 billion in 2024 and is projected to grow at a CAGR of 25.9%. [1, 8] Despite access complexities like third-party data ownership and information siloed in legacy systems, the rarity and focused regional depth of this regulatory and transaction_data make it a compelling asset for AI buyers aiming to capture value in this high-growth sector. [1, 8] ⚠ Diligence (valuable data, access to negotiate): Logistics data involves third-party carriers and customs authorities which may complicate ownership rights.; Data is likely siloed in legacy freight forwarding and customs brokerage systems.; Geographic concentration in the Caribbean (ABC islands) limits dataset breadth but increases regional depth. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence proves Rocargo owns a proprietary dataset of historical regulatory filings, including customs clearances and duties, directly linked to its own real-world ocean and air freight operations. This unique combination of regulatory text and transactional context is precisely the ground-truth data sought by RegTech and compliance-AI vendors to build and train sophisticated Regulatory RAG models. In a global AI in logistics market valued at over $20 billion, this rare dataset offers a distinct advantage for creating next-generation compliance automation tools.
See dimension details ↓- 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 Surplus70
surplus=medium, 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. - Dataset Specificity78
dominant 'regulatory', 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 Volume46
2 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 Value74
fit for Regulatory RAG
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 exceptionally high, driven by the market's rapid expansion with a projected CAGR of 25.9%, indicating significant and sustained investment in AI-powered logistics and regulatory solutions. [1, 8]
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 Strength50
2 evidence types, 2 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
ownership=owned, licensing=rights_unclear
Whether the company can legally license the data out — based on ownership and licensing complexity. - ICP Audit92
✓ good target — Rocargo is a freight forwarding and logistics company with a real operational business, making it a good target that likely generates valuable, dormant operational data as a by-product.
- Deep Qualification80
✓ pass — Rocargo is a freight forwarder and customs agent, making the existence of a 'Regulatory Records Dataset' plausible as a byproduct of its core business. However, its privacy policy indicates that data belongs to customers and is not sold, and ownership is likely mixed with third-party carriers and authorities, posing significant access and licensing challenges.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>Twiice est l’un des 3 éco-organismes retenus pour la nouvelle filière REP emballages professionnels. Il y a quelques jours, son DG Marc-Antoine Franc a répondu factuellement à nos questions sur les deux raisons qui expliqueraient la décision de dernière minute prise par le gouvernement de reporter sa mise en œuvre, initialement prévue pour le 1er […]</p> <p>L'article <a href="https://supplychainmagazine.fr/les-deux-raisons-factuelles-du-report-de-la-rep-epro/">Les deux raisons factuelles du report de la REP EPRO</a> est apparu en premier sur <a href="https://supplychainmagazine.fr">Su”
- “<p>SummaryView Transcript Trimble is reportedly selling its transportation division, including major acquisitions like Transporeon and PeopleNet. Bart de Muynck breaks down the challenges of integrating disparate carrier and shipper tech worlds, poor market timing for acquisitions, and why even large enterprises struggle to unify complex platforms in a rapidly evolving logistics tech landscape. Discover how […]</p> <p>The post <a href="https://www.freightwaves.com/news/trimbles-big-move-unpacking-the-transportation-division-sale">Trimble’s Big Move: Unpacking the Transportation Div”
- “<p>SummaryView Transcript Tropical Storm Bertha is crawling along the Gulf Coast, raising concerns about significant coastal flooding and heavy rainfall. While this hurricane season is predicted to be quiet due to El Niño, Weather Optics’ Joshua Feldman explains why slow-moving storms like Bertha can still pose a serious threat to logistics and supply chains, especially […]</p> <p>The post <a href="https://www.freightwaves.com/news/weather-optics-unpacking-tropical-storm-berthas-impact-on-freight">Weather Optics: Unpacking Tropical Storm Bertha’s Impact on Freight</a> appeare”
Transaction data
This evidence demonstrates Rocargo's direct involvement in global logistics, capturing detailed transactional data on physical freight movements that provides essential real-world context for its regulatory records.
Regulatory records
This evidence confirms the existence of a high-rarity text dataset containing historical customs clearances, duties, and commodity classifications, which is the core asset for training AI on regulatory compliance.
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
Rocargo Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global AI in logistics and supply chain market = $20.1 billion in 2024, CAGR 25.9% (source: AI in Logistics and Supply Chain Market Size & Share 2025 - 2034). Investment score 59.6/100 (confidence 0.42). Recommended action: Acquire.
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