Dataset opportunity
Trunkrs — Opportunité de jeu de données de télémétrie de mobilité
Jeu de données de télémétrie de mobilité modéré détenu par Trunkrs, utilisable pour la maintenance prédictive et la détection d'anomalies.
Score
72.7
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
49%
Action
Accord de partage de données
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
Marché mondial de la maintenance prédictive = 14,09 milliards de dollars en 2025, TCAC de 34,14 % (source : Mordor Intelligence)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-07-23
Weak housing market hurts big and bulky last-mile delivery
freightwaves.com ↗ - 📰press2026-07-22
Tractor Supply taps Instacart for same-day delivery
supplychaindive.com ↗ - 📰press2026-07-21
Monoprix installe un hub chez Segro dans le 13ème arr.parisien
supplychainmagazine.fr ↗
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.
- 🧑💻Hiring a data role
Actively recruits for Data and Analytics roles to optimize logistics
source ↗
Profile
Dataset profile
Type
Jeu de données de télémétrie de mobilité
Modality
Séries temporelles
Sector
mobilité
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
Fournisseurs d'IA industrielle et d'optimisation de la maintenance
Trunkrs holds a specialized Time Series Mobility Telemetry Dataset derived from its 100% electric last-mile delivery fleet. The data includes granular event_streams, geo_data, and proprietary IoT sensor data from cold-chain (Fresh & Frozen) logistics, providing a rich foundation for developing and training Predictive Maintenance models specifically for electric commercial vehicles and refrigerated units.
The global Predictive Maintenance market was valued at $14.09 billion in 2025 and is projected to expand at a CAGR of 34.14%. [4] While access requires navigating complexities such as the anonymization of PII (recipient addresses) and the proprietary nature of the IoT data, the dataset's unique combination of electric vehicle and cold-chain telemetry offers a rare and valuable resource for creating a competitive advantage in this high-growth market. [4] ⚠ Diligence (valuable data, access to negotiate): Contains PII (recipient addresses and names) requiring anonymization; Proprietary IoT sensor data from cold-chain (Fresh & Frozen) logistics; Data includes fleet telemetry from 100% electric last-mile vehicles · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Public evidence confirms Trunkrs operates a specialized logistics network, generating proprietary time-series data from its modern fleet. The dataset combines IoT telemetry from temperature-controlled deliveries with performance data from its growing fleet of electric vehicles, creating a rare and valuable asset. This is a direct fit for Industrial AI vendors building predictive maintenance models for cold-chain logistics and EV fleets, a key need in a market growing at over 34% annually. The data offers a unique opportunity to train algorithms on real-world operational performance and failure signals.
See dimension details ↓- Dataset Specificity90
dominant 'iot_data', sector mobility, 3 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
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 Value84
fit for Predictive Maintenance
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
AI buyer demand is exceptionally high, driven by the rapid expansion of the Predictive Maintenance market, which is growing at a 34.14% CAGR. [4]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
restricted/unknown
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
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 License62
ownership=owned, 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, 3 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 Audit100
✓ good target — Trunkrs is an excellent target as it's a Dutch SME whose core business is parcel delivery, generating a significant amount of proprietary mobility and logistics data as a by-product of its operations, which it does not appear to be selling. Issues: The company was acquired by Dynalogic, a subsidiary of bpostgroup, in March 2023. This could complicate decision-making or change its SME status within the larg; Trunkrs operates on an 'asset-light' model, using partner carriers and their vehicles. While their software platform generates and owns the overarching route an
- Deep Qualification90
✓ pass — Trunkrs is a logistics data holder with a plausible mobility telemetry dataset, but access is constrained by GDPR due to sensitive PII and the data ownership is mixed and subject to third-party terms (FENEX).
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
The company generates IoT time-series data from its temperature-controlled vehicles, a critical input for predictive maintenance models focused on cold-chain asset uptime.
Event streams
Trunkrs tracks detailed delivery event streams to measure its high on-time performance, providing a rich source of data to model the operational impact of vehicle health and predict failures that risk violating SLAs.
Geospatial data
The company's strategic shift to a 100% electric last-mile fleet generates highly valuable telemetry data essential for developing predictive maintenance solutions for this rapidly growing vehicle class.
Marketplace
Dataset details
Detailed schema & sample available on access request.
Coverage
Scanned sources
Deliverable
Premium dataset report
Trunkrs Mobility Telemetry — a Moderate mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $14.09B in 2025, CAGR 34.14% (source: Mordor Intelligence). Investment score 72.7/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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