Dataset opportunity
Epostglobalshipping — Transaction Dataset Opportunity
Large transaction dataset held by Epostglobalshipping, usable for Recommendation Models and Fraud Detection.
Score
63.8
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
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
Global AI in logistics and supply chain market = $20.1B in 2024, CAGR 25.9% (source: Precedence Research). [1, 7]
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.
- 📣Press / announcement
Acquisition by JZ Partners and Edgewater Capital to scale tech-enabled logistics
source ↗
Profile
Dataset profile
Type
Transaction Dataset
Modality
Tabular
Sector
mobility
Volume
Large
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
E-commerce & personalization AI teams
Epostglobalshipping holds a large-scale Tabular transaction_data dataset, which includes rich geo_data and a proprietary knowledge_base. This data is aggregated from over 100 third-party carriers, providing a rare, comprehensive view of mobility patterns, making it exceptionally well-suited for training advanced Recommendation Models for logistics optimization.
The AI in logistics market is valued at $20.1 billion in 2024 and is projected to grow at a CAGR of 25.9%, indicating massive business value and demand. [1, 7] Despite access complexities, such as the data containing PII that requires anonymization, a proprietary orchestration layer, and the need for high-level corporate approval from its private equity owners, the rarity and scale of this aggregated dataset offer a significant competitive advantage in a rapidly expanding market. ⚠ Diligence (valuable data, access to negotiate): Data contains PII (names, addresses) requiring anonymization for AI use cases.; Proprietary orchestration layer aggregates data from 100+ third-party carriers.; Owned by private equity (JZ Partners/Edgewater), might require high-level corporate approval. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence proves Epostglobalshipping owns a proprietary, high-rarity dataset of 23.3 million actual international shipment outcomes across more than 200 countries. This granular, transaction-level data is a critical asset for e-commerce AI teams looking to build sophisticated recommendation models for shipping and logistics. In a global AI logistics market projected to reach $20.1 billion in 2024, this dataset offers a unique opportunity to optimize carrier performance, predict delivery times, and enhance the customer experience at scale.
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 Volume74
4 evidence hits, explicit data-volume mention
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 Demand90
AI buyer demand is extremely high, driven by the global AI in logistics market's rapid expansion, which is valued at $20.1B and growing at a 25.9% CAGR. [1, 7]
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 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 License28
ownership=mixed, 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 Orientation39
1 data-appetite signals (1 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 Audit92
✓ good target — This is a good target; it's a privately held, operational logistics/shipping company that generates valuable transactional data as a by-product of its core business and does not appear to sell data as a product. Issues: Some user reviews on BBB and Reddit express frustration with customer service and package tracking, suggesting potential operational inefficiencies. [21, 22]; Scam Detector gives the website a medium trust score of 52.8/100, citing a lack of metadata and poor desi
- Deep Qualification90
✓ pass — ePost Global is a logistics services provider, not a data seller. It holds a valuable, aggregated transaction dataset as a byproduct of its core operations, but this data contains PII and is subject to complex usage rights and privacy regulations, making direct access for AI training challenging.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Knowledge base / docs
The evidence points to a specialized knowledge base covering the complex rules of international shipping, a valuable asset for training models to automate customs and duties compliance.
Transaction data
This is the core tabular dataset, capturing granular shipment-level performance data across carriers and destinations, which is essential for training logistics recommendation models.
Data-volume signal
This confirms the dataset's significant scale, representing the complete outcomes of 23.3 million shipments, which provides the comprehensive, unbiased ground truth needed to train high-performing AI models.
Geospatial data
This tabular data confirms the dataset's extensive global footprint, covering a proprietary logistics network of over 200 countries, which is critical for modeling and optimizing the international supply chain.
Coverage
Scanned sources
Deliverable
Premium dataset report
Epostglobalshipping Transaction — a Large transaction dataset (Tabular modality) in the mobility domain. Primary AI use-case: Recommendation Models. Market signal: Global AI in logistics and supply chain market = $20.1B in 2024, CAGR 25.9% (source: Precedence Research). [1, 7]. Investment score 63.8/100 (confidence 0.56). Recommended action: Data Sharing Agreement.