Dataset opportunity
Korodrogerie — Public Procurement Dataset Opportunity
Moderate public procurement dataset held by Korodrogerie, usable for Tender Intelligence and Document Intelligence.
Score
69.9
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 procurement analytics market = $3.8 Billion in 2022, CAGR 23% (2023-2032).
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
KoRo frequently recruits for Data Analysts and Business Intelligence roles to optimize supply chain
source ↗
Profile
Dataset profile
Type
Public Procurement Dataset
Modality
Text
Sector
retail
Volume
Moderate
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — clean to license · PII/regulated
Buyer persona
GovTech & procurement-intelligence vendors
Korodrogerie holds a Public Procurement Dataset in Text modality, derived from its extensive retail operations and direct trade relationships. This dataset contains granular `industrial_data`, `procurement` records, and `transaction_data`, offering a detailed view into supply chain dynamics, supplier performance, and pricing strategies, making it highly suitable for training a Tender Intelligence AI model.
The global procurement analytics market was valued at $3.8 billion in 2022 and is projected to grow with a CAGR of 23% between 2023 and 2032. [2] Despite access complexities due to the data's proprietary nature, including private contract terms and competitive sourcing information, its rarity and direct link to operational efficiency metrics offer a significant competitive advantage for AI buyers aiming to optimize their own procurement and tender processes. [2] ⚠ Diligence (valuable data, access to negotiate): Supply chain data is proprietary and linked to competitive advantage in sourcing; Direct trade relationships involve private contract terms; Operational data includes logistics and bulk-handling efficiency metrics · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Korodrogerie owns a proprietary dataset detailing its unique direct-sourcing and shortened supply chain model. This data provides a rare, operational blueprint for building efficient and ethical procurement frameworks. For GovTech and procurement-intelligence vendors, this is a high-value asset for training AI that identifies sustainable and cost-effective partners, a key differentiator in the $3.8 billion procurement analytics market which is growing at a 23% CAGR.
See dimension details ↓- Dataset Specificity90
dominant 'procurement', sector retail, 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 Freshness46
periodic
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
fit for Tender Intelligence
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand88
AI buyer demand is driven by the rapid 23% CAGR of the procurement analytics market and the strategic need for proprietary data to gain a competitive edge in tender intelligence applications. [2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility16
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 License92
ownership=company_owned, licensing=clean
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 Audit75
✓ good target — Korodrogerie is a good target as it's a D2C e-commerce company selling food products, which generates valuable consumer and supply chain data as a by-product; however, its size is on the upper limit of an SME. Issues: Core business is online and retail sale of non-perishable food products, snacks, and ingredients in bulk packaging. [3, 5, 7]; The company's core product is physical food items, not data or intelligence. [1, 5]; The company generates proprietary data as a by-product of its operations, including consumer purchasing behavior, supply chain logistics, and product demand tre; There is no evidence that the company is currently selling its operational data. [1, 5, 7]
- Deep Qualification80
⚠ needs review — Korodrogerie is an e-commerce data holder in the food retail sector, not a public procurement entity. The core hypothesis is flawed, but the underlying retail and supply chain data is coherent with the target niche. [dataset_type implausible vs real activity: The company is a B2C and B2B retailer of food products; it does not engage in public procurement, making the 'Public Procurement Dataset' label inconsistent with its actual business operations. [5, 7, 10, 12]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Procurement / tenders
This text data documents the company's philosophy of skipping intermediaries to source directly, offering qualitative insights into building transparent and ethical supply chains.
Transaction data
This tabular data captures bulk-buying patterns from a large e-commerce platform, providing unique, quantifiable signals on long-term, health-conscious consumer trends.
Industrial data
This time-series data demonstrates the real-world application of supply chain shortening, providing operational metrics on logistics optimization and disintermediation for specific commodities.
Marketplace
Dataset details
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
Korodrogerie Public Procurement — a Moderate public procurement dataset (Text modality) in the retail domain. Primary AI use-case: Tender Intelligence. Market signal: Global procurement analytics market = $3.8 Billion in 2022, CAGR 23% (2023-2032) (source: Global Market Insights, Inc.). Investment score 69.9/100 (confidence 0.49). Recommended action: Acquire.
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