Dataset opportunity
Thefuelstore — Mobility Telemetry Dataset Opportunity
Moderate mobility telemetry dataset held by Thefuelstore, usable for Predictive Maintenance and Anomaly Detection.
Score
47.5
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
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 size (indicative estimate)
Global Automotive Predictive Maintenance market size was USD $22 billion in 2023, growing at a CAGR of 18.6%.
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.
- 📦Data product
Fuel Insights tool providing data-driven fleet optimization
source ↗
Profile
Dataset profile
Type
Mobility Telemetry Dataset
Modality
Time Series
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
Industrial AI & maintenance-optimization vendors
Thefuelstore holds a valuable Mobility Telemetry Dataset derived from its extensive fuel card network, comprising granular `transaction_data` and `iot_data`. This Time Series information details fuel consumption, vehicle usage patterns, and operational timestamps, providing the essential raw data for developing and training Predictive Maintenance algorithms to forecast component wear and optimize fleet servicing schedules.
The business value is anchored in the Automotive Predictive Maintenance market, a sector valued at $22 billion in 2023 and projected to grow at a remarkable 18.6% CAGR. Despite access complexities like GDPR and shared data ownership requiring negotiation and anonymization, the rarity and real-world accuracy of this data make it a high-value asset for AI buyers seeking a competitive edge in this rapidly expanding market. ⚠ Diligence (valuable data, access to negotiate): Contains driver-specific transaction data (GDPR); Ownership of transaction records may be shared with fuel network partners (Shell, BP, etc.); Requires anonymization of specific fleet identities · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence confirms Thefuelstore's ownership of a proprietary mobility telemetry dataset, combining real-time IoT signals with large-scale fleet transaction records. This unique blend of time-series and tabular data is crucial for developing advanced predictive maintenance models, a key capability for AI vendors targeting the rapidly growing $22 billion automotive optimization market. The dataset's depth, covering driver behavior and emissions, provides a significant competitive advantage for training sophisticated AI solutions.
See dimension details ↓- Dataset Specificity78
dominant 'iot_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 Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
fit for Predictive Maintenance
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 significant growth in the Automotive Predictive Maintenance market, which is expanding at an 18.6% CAGR.
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 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 Audit58
⚠ review — The company's core business is selling fleet management solutions, including telematics and data-led insights, making it a competitor already on the market, not a source of dormant data. Issues: Company's core business is selling intelligence and data-derived products.; Products like 'Fuel Insights' and 'FuelConnect telematics' are sold as a service to reduce costs and improve efficiency for clients.; The company explicitly markets itself as a 'Telematics Service' provider.; The company has developed its own proprietary 'Fuel AI' platform to analyze data for its customers.
- Deep Qualification90
✓ pass — The company is a fleet services provider whose core business generates a valuable telemetry dataset; a recent CEO change aimed at unlocking new growth avenues presents a timely opportunity.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
The company possesses large-scale transactional data from over 9,000 commercial fleets, providing a rich, tabular view of fuel consumption patterns that is essential for modeling operational costs and efficiency.
IoT / sensor data
Through a key partnership, the dataset includes proprietary time-series IoT data, capturing real-world vehicle telemetry and driver behavior signals critical for training high-accuracy predictive maintenance algorithms.
business_records
The holder maintains detailed emissions records for commercial fleets, offering a unique feature layer to optimize maintenance schedules for both sustainability targets and regulatory compliance.
Marketplace
Dataset details
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Thefuelstore Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Automotive Predictive Maintenance market size was USD $22 billion in 2023, growing at a CAGR of 18.6% (source: Market.us).. Investment score 47.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Nearnorthcustoms — Regulatory Records Dataset Opportunity
View opportunity →industrialGreengoenergy — Industrial Sensor Dataset Opportunity
View opportunity →mobilityNesslog — Regulatory Records Dataset Opportunity
View opportunity →Data Academy
Learn before you deal
- 5 Mistakes That Drive Buyers Away3 min read
- Why Buy External Data?3 min read
- Buying Data Without Mistakes3 min read