Dataset opportunity

Imperativelogistics — Mobility Event Dataset Opportunity

Moderate mobility event dataset held by Imperativelogistics, usable for Forecasting and Anomaly Detection.

Mobility Event DatasetTime SeriesForecasting🌍 United Statesimperativelogistics.com7 sept. 2026

Confidence

49%

Market size (indicative estimate)

Global supply chain analytics market was valued at $10.02 billion in 2025, with a projected CAGR of 15.8% (2026-2035).

Sourced by 2 recent signals

Recent dated external facts that triggered this opportunity — auditable provenance.

  • 📰press2026-09-06

    Borderlands Mexico: Trucker protest raises stakes in Mexico-US B-1 visa dispute

    freightwaves.com
  • 📰press2026-09-04

    Logistics provider accuses Alabama carrier of raiding its workforce, stealing trade secrets

    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.

Profile

Dataset profile

Type

Mobility Event Dataset

Modality

Time Series

Sector

mobility

Volume

Moderate

Freshness

Real-time

Rarity

High (proprietary)

Accessibility

Restricted

Legal

Owned by the company — licensing rights to clarify

Buyer persona

Quant funds & demand-forecasting AI teams

Imperativelogistics holds a proprietary Mobility Event Dataset structured as a Time Series. This dataset is compiled from internal business_records, real-time event_streams, and geo_data, offering detailed insights into aggregated lane performance. Its modality is ideal for training AI models for Forecasting applications, such as predicting transit times, identifying potential delays, and optimizing routes.

The value of such data is reflected in the global supply chain analytics market, which was valued at $10.02 billion in 2025 and is projected to grow with a CAGR of 15.8%. [1] While access requires navigating a corporate structure resulting from a private equity acquisition and data fragmentation across brands like DLS Worldwide, the proprietary nature of the aggregated performance data makes it a valuable asset for buyers seeking a competitive edge in logistics optimization. ⚠ Diligence (valuable data, access to negotiate): Data is likely fragmented across multiple brands including DLS Worldwide and Imperative Expedited.; Ownership of specific cargo details may be restricted by shipper contracts, but aggregated lane and performance data is proprietary.; Acquired by private equity (LaSalle Capital) and merged with other entities, making corporate navigation necessary. · corporate: subsidiary of Imperative Logistics Group.

Scoring

Scored dimensions

Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.

This evidence collectively proves Imperativelogistics possesses a proprietary, high-rarity dataset detailing multi-modal logistics events, including granular transit durations and cross-border performance. This type of time-series data is sought after by quant funds and AI teams to power sophisticated forecasting models that predict supply chain disruptions and efficiencies. In a global supply chain analytics market projected to grow at over 15% annually, this dataset offers a distinct competitive edge for modeling demand and carrier performance.

See dimension details
SpecificityRarityVolumeTraining ValueBuyer DemandEvidence StrengthData Orientation
  • ICP Audit100

    ✓ good target — Imperative Logistics is a private, medium-sized operational logistics company whose core business is freight forwarding, generating a significant volume of proprietary shipping and tracking data as a byproduct, making it an ideal target. Issues: A single third-party profile on Preqin vaguely describes them as a 'technology solutions provider' with a subscription model, which conflicts with all other evi; The 'Mobility Event Dataset' mentioned in the prompt is not publicly listed, suggesting it is a dormant data asset.

  • Deep Qualification80

    ⚠ needs review — The target is a logistics service provider whose business model generates the specified dataset, but its privacy policy explicitly prohibits selling personal information, posing a significant restriction on data licensing. [licensing restricted]

Evidence

Dataset evidence & lineage

What the typed evidence proves the company holds — reframed for clarity and set against the market.

business_records

These business records contain structured details on time-sensitive shipments, providing ground-truth data on transit durations and delay factors crucial for training risk-assessment models.

Geospatial data

This tabular data provides proprietary intelligence on US-Mexico-Canada shipping lanes, offering a unique view into customs clearance times and carrier efficiency for optimizing North American trade routes.

Event streams

These event streams contain the core time-series data, capturing both historical and real-time status updates across global transport modes to directly feed predictive forecasting models.

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

https://imperativelogistics.comingested
https://imperativelogistics.com/logistics-solutions/expedite-servicesingested
https://imperativelogistics.com/logistics-solutions/cross-border-servicesingested
https://imperativelogistics.com/logistics-solutions/air-servicesingested
https://imperativelogistics.com/logistics-solutions/ground-servicesingested
https://imperativelogistics.com/logistics-solutions/mission-critical-servicesingested
https://imperativelogistics.cominferred

Deliverable

Premium dataset report

Imperativelogistics Mobility Event — a Moderate mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: Global supply chain analytics market was valued at $10.02 billion in 2025, with a projected CAGR of 15.8% (2026-2035) (source: Market Research Future). [1]. Investment score 66.1/100 (confidence 0.49). Recommended action: Partnership (group-level).

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