Dataset opportunity
Coldstorage — Industrial Operations Dataset Opportunity
Moderate industrial operations dataset held by Coldstorage, usable for Industrial Monitoring and Forecasting.
Score
37.5
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
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 Industrial Internet of Things (IIoT) Market was valued at $198.9 billion in 2025, projected to grow at a 15.8% CAGR.
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 partnership
Uses data to help non-profits manage inventory fluctuations and reduce food waste
source ↗
Profile
Dataset profile
Type
Industrial Operations Dataset
Modality
Time Series
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify
Buyer persona
Industrial AI integrators
Coldstorage holds a proprietary Industrial Operations Dataset composed of Time Series data from IoT sensors on its custom-developed cranes and internal business records. This granular data, including `iot_data` and `industrial_data`, is perfectly suited for the Industrial Monitoring use case, enabling the development of AI models for predictive maintenance, operational efficiency analysis, and anomaly detection in a logistics environment.
This dataset is a valuable asset in the rapidly growing Industrial Internet of Things (IIoT) Market, which was valued at $198.9 billion in 2025 and is projected to grow at a 15.8% CAGR. While access requires negotiation due to the data's proprietary nature and the company's private governance, its unique schema from custom hardware makes it a rare source for training robust, real-world industrial AI models, justifying the investment. ⚠ Diligence (valuable data, access to negotiate): Operational data is proprietary, but inventory data belongs to third-party logistics clients.; Internally developed software and hardware (cranes) suggest custom data schemas.; Private family-owned governance may complicate formal data licensing agreements. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Coldstorage owns a proprietary, high-rarity dataset from its fully automated cold storage operations, combining custom software logs with large-scale IoT sensor readings. For industrial AI integrators, this unified time-series data is a crucial asset for building and validating next-generation industrial monitoring and predictive maintenance solutions. Acquiring this dataset provides a significant advantage in the rapidly expanding IIoT market, which is projected to grow at a 15.8% CAGR from a 2025 valuation of $198.9 billion.
See dimension details ↓- Dataset Specificity78
dominant 'industrial_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 Industrial Monitoring
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
Buyer demand is extremely high, driven by the significant 15.8% CAGR of the Industrial Internet of Things (IIoT) market, which requires vast amounts of operational data for AI model training.
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 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 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 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 Audit25
⚠ review — This is a large Singaporean supermarket chain, not an industrial operations company, and it is part of a major international retail group. Issues: The company `coldstorage.com` appears to be a Canadian logistics/warehousing provider, but `coldstorage.com.sg` is a major Singaporean supermarket chain.; The Singaporean entity is the more prominent one and is a large retail business, not an SME.; The company's core business is retail (selling groceries), not an operational business that generates data as a by-product in the sense of the ICP.; The company is part of a large international retail group (formerly Dairy Farm Group, sold to Macrovalue), which is classified as a 'giant/opaque group' to be e
- Deep Qualification70
✓ pass — The target is a logistics service provider, not a data seller. The claimed 'Industrial Operations Dataset' is highly plausible, as the company develops its own automated cranes and warehouse management software, generating proprietary operational data. However, data ownership is mixed, as inventory data belongs to clients, and licensing rights for operational data are unknown.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
This evidence indicates unique time-series data generated by proprietary, internally developed warehouse automation software, which is highly valuable for training AI on non-standard industrial systems.
IoT / sensor data
This confirms the existence of extensive IoT sensor data from a large-scale network of automated warehouses, providing the granular temperature control records needed to build sophisticated energy optimization and anomaly detection models.
business_records
These logistical documents provide critical business context, enabling the development of AI that can model and optimize the entire distribution chain from product intake to final shipment.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Coldstorage Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial Internet of Things (IIoT) Market was valued at $198.9 billion in 2025, projected to grow at a 15.8% CAGR (source: Market.us).. Investment score 37.5/100 (confidence 0.49). Recommended action: Acquire.
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