Dataset opportunity
Envo Logistics — Mobility Event Dataset Opportunity
Moderate mobility event dataset held by Envo Logistics, usable for Forecasting and Anomaly Detection.
Score
68.7
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 Supply Chain Analytics market was valued at USD 6.12 billion in 2022, projected to grow at a 17.8% CAGR (2023-2030).
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.
- ✨Signal
Focus on technology-driven fulfillment and real-time tracking systems
source ↗
Profile
Dataset profile
Type
Mobility Event Dataset
Modality
Time Series
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — licensing rights to clarify
Buyer persona
Quant funds & demand-forecasting AI teams
Envo Logistics provides a Mobility Event Dataset structured as Time Series data, derived from proprietary `event_streams` and `geo_data`. This dataset captures detailed event sequences and geographical coordinates from extensive logistics operations, making it exceptionally well-suited for AI-driven Forecasting applications such as predictive delivery timing, route optimization, and demand planning.
The value of this data is highlighted by the global Supply Chain Analytics market, which was valued at USD 6.12 billion in 2022 and is projected to grow at a 17.8% CAGR. [1] This high-growth market underscores the strategic importance and rarity of granular operational data for creating predictive AI. While access requires navigating certain complexities—including the proprietary nature of operational data, the need for PII anonymization from delivery records, and potential client contract clauses—the asset's value for building competitive forecasting models makes it a compelling acquisition target. ⚠ Diligence (valuable data, access to negotiate): Operational data is proprietary but delivery records contain PII (names/addresses) requiring anonymization.; Client contracts may have clauses regarding the use of shipment metadata. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence confirms Envo Logistics owns a proprietary dataset detailing both in-transit logistics and in-warehouse operational efficiency. This combination of real-time delivery performance and granular inventory metrics provides a powerful signal for forecasting models. Quant funds and demand-forecasting teams can leverage this data to predict supply chain bottlenecks and economic activity, gaining a critical edge in a global supply chain analytics market projected to grow at nearly 18% annually. The rarity and depth of this time-series data make it a high-value asset for any AI-driven strategy.
See dimension details ↓- Dataset Specificity78
dominant 'event_streams', 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 Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
fit for Forecasting
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 high, driven by the rapid growth of the Supply Chain Analytics market, which is expanding at a 17.8% CAGR as companies increasingly seek predictive insights from logistics data. [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 Feasibility44
low 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. - 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, 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 — Envo Logistics is a real operational freight and logistics company in Spain/Europe, and the data it generates through its fleet (e.g., GPS tracking) appears to be a by-product of its core business, making it a good target. Issues: The exact company size (employee count) is not readily available, so SME status is an educated assumption based on the website's presentation.; The initial prompt mentioned a 'Mobility Event Dataset', but this specific product name is not found on their
- Deep Qualification70
✓ pass — The target is a standard logistics services provider in Spain and Europe, making the 'Mobility Event Dataset' plausible. However, the website is a simple front with no specific corporate information, news, or triggers, and data ownership rights are unclear without explicit terms of service.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “En remportant l'appel d'offres chez Volvo pour couvrir les voitures d'occasion revendues sous le label de la marque, WTW NSA a encore franchi un palier sur le marché français de la garantie automobile. Gregory Viollet, le directeur d'activité, revient sur ce dossier et révèle les prochaines étapes du plan de croissance.”
- “Tribune - Le futur règlement européen sur le verdissement des flottes se discute à coups de quotas et d'immatriculations. Pourtant, les premiers effets de cette transformation sont déjà visibles sur le marché du véhicule d'occasion. Décryptage d'un basculement déjà engagé selon Fabien Ravalison, directeur secteur privé chez Agorastore, spécialiste des enchères.”
- “<figure><div><img src="https://imgproxy.divecdn.com/QYU0PQvsZZJDY0oboip3buQPRMNaW7YWi7gKQeQsiK0/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS8yLTdMLXR1cmJvLWVuZ2luZS1hc3NlbWJseS1TcHJpbmctSGlsbC5qcGc=.webp" /></div></figure><p>The Spring Hill plant will produce more truck models as part of the company’s approximately $9 billion U.S. manufacturing footprint expansion.</p>”
Geospatial data
The company generates tabular data detailing real-time tracking and delivery performance across its distribution network, offering a direct signal on logistics efficiency for sophisticated supply chain models.
Event streams
This time-series data captures granular warehouse operations, including inventory turnover and processing times, providing a leading indicator of supply chain velocity for predictive analytics.
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for AI-driven forecasting and supply chain analytics applications.
Personal data
No 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 proprietary, real-time mobility event dataset offers high value for AI-driven supply chain forecasting, tapping into a rapidly growing market. Its rarity and direct operational insights justify 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
Envo Logistics Mobility Event — a Moderate mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: Global Supply Chain Analytics market was valued at USD 6.12 billion in 2022, projected to grow at a 17.8% CAGR (2023-2030) (source: Grand View Research). [1]. Investment score 68.7/100 (confidence 0.42). Recommended action: Acquire.
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