Dataset opportunity
Jmrodgers — Transaction Dataset Opportunity
Moderate transaction dataset held by Jmrodgers, usable for Recommendation Models and Fraud Detection.
Score
62.2
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 size (indicative estimate)
Global Supply Chain Analytics Market = $10.02 billion in 2025, CAGR 15.8% (2026-2035).
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
Transaction Dataset
Modality
Tabular
Sector
mobility
Volume
Moderate
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify · PII/regulated
Buyer persona
E-commerce & personalization AI teams
Jmrodgers holds a valuable Transaction Dataset in Tabular format, derived from its core customs brokerage and freight forwarding operations. This dataset integrates business_records, geo_data, and granular transaction_data, providing a multi-dimensional view of global supply chains. Its structure is ideal for training sophisticated Recommendation Models to optimize shipping routes, forecast logistics needs, and select freight partners, directly addressing key challenges in the mobility and trade sector.
The business value is underscored by the Supply Chain Analytics market, which was valued at $10.02 billion in 2025 and is projected to grow at a CAGR of 15.8%. [2] While access requires navigating complexities such as sensitive client trade secrets, federal regulatory oversight, and mixed data ownership, the dataset's rarity and depth offer a significant competitive advantage. [2] The high-growth market confirms that the strategic insights unlocked from this data justify a negotiated access agreement for AI-driven buyers. ⚠ Diligence (valuable data, access to negotiate): Data involves sensitive client trade secrets and financial transactions.; Customs records are subject to strict federal regulatory oversight.; Ownership is mixed between the broker's operational logs and the client's commercial invoices. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves J.M. Rodgers possesses a proprietary and highly detailed dataset on international trade transactions, including granular customs filings, duty recovery patterns, and global shipping routes. For e-commerce and personalization AI teams, this data is a rare asset for building sophisticated recommendation models that can predict and optimize cross-border logistics. Acquiring this dataset provides a unique competitive advantage in the rapidly growing global supply chain analytics market, offering deep insights into HTS classifications and carrier performance.
See dimension details ↓- Dataset Specificity78
dominant 'transaction_data', 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 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 Value74
fit for Recommendation Models
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
AI buyer demand is high, driven by the rapid 15.8% CAGR of the Supply Chain Analytics market, which relies on such granular transaction data for predictive optimization. [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 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 — 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 — Excellent target: a long-standing, operational customs broker and freight forwarder that generates vast amounts of proprietary transaction data as a by-product of its core service business and does not appear to sell data as a product. Issues: The company heavily promotes its 'data expertise' and 'proprietary software' [14, 15], but this appears to be for internal process efficiency and client service; There is a 'Vice President of Drawback Analytics', which could indicate a focus on selling intelligence. [9, 20] However, the context suggests this role is abou
- Deep Qualification80
⚠ needs review — The target is a services firm acting as a legal agent for its clients, which severely restricts its rights to monetize the resulting transaction data. While the data is a coherent byproduct of its operations, ownership is at best mixed and likely resides with the customer, making a negotiated data access agreement improbable. [licensing restricted]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
The dataset contains thousands of granular customs entries, including critical HTS classifications and valuation data essential for training models on international product flows and pricing.
business_records
As a top-tier duty drawback specialist, the holder possesses extensive compliance records that provide a unique signal on financial recovery and risk patterns across industries.
Geospatial data
This tabular data maps global shipping routes, carrier performance, and transit times, offering a powerful geographic layer for optimizing logistics and predicting delivery 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
Jmrodgers Transaction — a Moderate transaction dataset (Tabular modality) in the mobility domain. Primary AI use-case: Recommendation Models. Market signal: Global Supply Chain Analytics Market = $10.02 billion in 2025, CAGR 15.8% (2026-2035). [2]. Investment score 62.2/100 (confidence 0.49). Recommended action: Acquire.
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Learn before you deal
- How a Data Transaction Works3 min read
- What you are entitled to sell3 min read
- 5 Mistakes That Drive Buyers Away3 min read