Dataset opportunity
Flockfreight — Public Procurement Dataset Opportunity
Large public procurement dataset held by Flockfreight, usable for Tender Intelligence and Document Intelligence.
Score
80.8
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
90%
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
Global Procurement Analytics Market size was over $6.37 billion in 2025 and is anticipated to cross $48.08 billion by 2035, growing at a CAGR of more than 22.4%. [12]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-11
Amazon’s LTL gap has a name: Forward Air
freightwaves.com ↗ - 📰press2026-06-11
Dell, HPE server supply upended by memory crunch
supplychaindive.com ↗ - 📰press2026-06-11
FreightWaves Today: U.S. approves $5B offshore LNG export platform
freightwaves.com ↗ - 📰press2026-06-11
He Walked Away From 28 Years Behind the Barber Chair for a $10,000 Box Truck With 500,000 Miles. Five Years Later, Here Is What He Wishes Someone Had Told Him.
freightwaves.com ↗ - 📰press2026-06-11
Long Beach awards $54M in small business contracts
freightwaves.com ↗
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
Recruits Data Scientists and Engineers for algorithmic freight pooling
source ↗
Profile
Dataset profile
Type
Public Procurement Dataset
Modality
Text
Sector
mobility
Volume
Large
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify · PII/regulated
Buyer persona
GovTech & procurement-intelligence vendors
Flockfreight holds a valuable Public Procurement Dataset in Text modality, substantiated by extensive `procurement`, `geo_data`, and `transaction_data` records. This information, uniquely processed through the company's proprietary pooling algorithms, generates unparalleled insights into real-world freight patterns, carrier performance, and pricing benchmarks. This makes the dataset exceptionally potent for a buyer implementing an AI-driven Tender Intelligence use case, allowing them to analyze bid competitiveness and market dynamics with high precision.
The data is positioned to serve the rapidly expanding Procurement Analytics market, which was valued at over $6.37 billion in 2025 and is projected to grow at a 22.4% CAGR. [12] Although access requires navigating complexities such as multi-party transaction data involving shippers and carriers and the need to anonymize sensitive pricing, the resulting unique insights into freight efficiency offer a rare competitive advantage. This inherent value and market demand justify the negotiation for access to these proprietary datasets. ⚠ Diligence (valuable data, access to negotiate): Data involves multi-party transactions (shippers and carriers); Proprietary pooling algorithms create unique synthetic datasets on freight efficiency; Sensitive pricing and route information may require anonymization · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Flockfreight possesses a proprietary, high-rarity dataset detailing the complete logistics procurement lifecycle, from RFPs and tender acceptance to real-time shipping transactions and final claims. For GovTech and procurement-intelligence vendors, this data is a critical asset for building sophisticated tender intelligence models that can predict pricing, lane allocation, and bid success. In a procurement analytics market projected to grow at over 22% annually, this dataset offers a unique competitive edge by providing ground-truth data on carrier performance and market rates.
See dimension details ↓- Dataset Specificity100
dominant 'procurement', sector mobility, 6 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity94
proprietary domain data (open lowers rarity)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume100
11 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 Value100
fit for Tender Intelligence
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand78
The procurement analytics market is projected to grow at a CAGR of 23.85% through 2031, which signals a very strong and rapidly growing demand for datasets to power AI-driven tender intelligence tools. [8]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility22
open/API access
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility48
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength100
8 evidence types, 11 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, 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 Audit58
⚠ review — Flockfreight's core business is selling an AI-powered software platform and logistics service for freight pooling, making it a technology vendor already on the market, not a holder of dormant data. Issues: The company's primary product is its AI-powered technology platform that optimizes and sells shared truckload (STL) services. [3, 8, 10, 13, 17]; This is a form of selling intelligence/AI software as a product, which is an explicit exclusion criterion.; The company is classified by
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
The company publishes structured industry reports and whitepapers, providing valuable text data for training natural language processing models on logistics-specific terminology and market trends.
Procurement / tenders
The dataset contains direct evidence of truckload RFP processes, including data on tender acceptance, repricing, and mini-bids, which is the core asset for any tender intelligence platform.
Transaction data
The holder possesses historical quote, order, and contracted rates data from real-time shipping transactions, essential for building accurate pricing benchmarks and market analysis tools.
Knowledge base / docs
Flockfreight maintains technical documentation on logistics emissions standards, offering a specialized corpus for training AI on regulatory compliance and ESG reporting.
IoT / sensor data
There is evidence of collecting time-series sensor data related to in-transit vibrations and shaking, a valuable input for predictive models focused on shipment damage and risk mitigation.
Claims records
The company owns a proprietary dataset of claims data and loss reports, a high-value asset for training actuarial models and optimizing carrier risk profiles.
Geospatial data
The dataset includes geospatial information on route density, transit times, and efficiency across North America, enabling advanced supply chain optimization and network analysis.
Industrial data
Flockfreight tracks and reports on emissions reductions over time, providing a time-series dataset perfect for developing sustainability analytics and ESG-focused AI applications.
Coverage
Scanned sources
Deliverable
Premium dataset report
Flockfreight Public Procurement — a Large public procurement dataset (Text modality) in the mobility domain. Primary AI use-case: Tender Intelligence. Market signal: Global Procurement Analytics Market size was over $6.37 billion in 2025 and is anticipated to cross $48.08 billion by 2035, growing at a CAGR of more than 22.4%. [12]. Investment score 80.8/100 (confidence 0.9). Recommended action: Acquire.