Fleet Hub Monitor

AI-driven geospatial analytics deliver real-time visibility into logistics-hub operations and truck movements, enabling data-driven decisions to streamline throughput and reduce delays.

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How does it work?

Lack of integrated spatial insights into hub activity and fleet movements leads to delays, idle assets, and missed delivery windows. Our platform consolidates satellite, drone, and telematics data with AI analytics to provide continuous, actionable visibility and predictive planning.

Real-time Visibility: The platform ingests satellite, drone, and telematics data to track truck arrivals, departures, and dwell times at logistics hubs in real time. This continuous monitoring helps identify delays and underutilized docks before they impact operations.
Bottleneck Detection: Automated spatial analytics pinpoint congestion hotspots by analyzing vehicle density and movement patterns around hub entry points. Early detection of bottlenecks supports rapid resource reallocation to maintain smooth operations.
Route Optimization: Integrates real-time traffic data with hub capacity insights to suggest optimal dispatch and routing plans. This reduces empty miles and improves on-time delivery rates by up to 15%.
Predictive Demand Forecasting: Machine learning models leverage historical throughput and seasonal trends to forecast daily truck volumes. This enables proactive staffing and dock scheduling, reducing wait times by as much as 20%.
Asset Utilization: Tracks utilization metrics for trailers and yard equipment within the hub perimeter to uncover underused assets. Optimizing asset allocation cuts idle time and operating costs across the network.
Custom Alerts & Integration: Configurable alerts notify managers of exceeding dwell thresholds, route deviations, or unexpected facility congestion. Seamless API integration allows data to flow into existing TMS and WMS platforms.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this compare to traditional GPS tracking?: Our solution combines GPS with high-resolution satellite and aerial imagery, providing facility-level context that pure telematics lacks. This multi-source approach yields more accurate insights into hub activity and spatial patterns.
What makes geospatial analytics popular in logistics?: Geospatial analysis uncovers spatial bottlenecks and route inefficiencies invisible to tabular data alone. Logistics leaders adopt it to optimize network design, reduce transit times, and improve asset utilization in complex supply chains.
Are there limitations to satellite imagery for hub monitoring?: Satellite revisits may be constrained by orbital schedules and cloud cover, limiting update frequency. We mitigate this by integrating drone and ground-based sensors for consistent coverage.
Can small fleets benefit from AI-based monitoring?: Yes, modular analytics and pay-as-you-go imaging make it cost-effective for fleets of any size. Even small operations gain visibility into yard operations and can scale analytics as they grow.
What alternatives exist to geospatial hub analytics?: Manual yard checks and RFID gate readers offer point solutions but lack comprehensive spatial context. Geospatial analytics unify diverse data streams into a single operational picture.
How do predictive models compare to rule-based scheduling?: Unlike static rule-based systems, predictive models adapt to evolving traffic patterns and hub demand. They continuously learn from new data to improve accuracy over time.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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