> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wherobots.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Fleet Logistics

> How fleet, delivery, and logistics operators can use Wherobots for route adherence, map matching, and telemetry analytics at scale.

Fleet operators generate massive volumes of GPS traces, shipment records, and sensor data every day. Wherobots provides the spatial compute engine to turn that telemetry into route adherence, accurate maps, and actionable fleet intelligence at scale.

## How to use these solutions

Treat these notebooks as data engineering patterns as you evaluate Wherobots for your business or organization:

<CardGroup cols={2}>
  <Card title="GPS Map Matching" icon="route" iconType="solid" href="/tutorials/wherobotsai/map-matching/map-matching-road-networks">
    Snap millions of raw GPS points to road network segments to reconstruct accurate travel paths, calculate true distances, and identify route deviations.
  </Card>

  <Card title="Route Optimization" icon="map-location-dot" iconType="solid" href="/tutorials/example-notebooks/isochrones">
    Analyze road networks, drive-time isochrones, and delivery zones to find optimal routes and reduce fuel costs across entire fleets.
  </Card>

  <Card title="Fleet Analytics" icon="truck-fast" iconType="solid" href="/tutorials/example-notebooks/gps-map-matching">
    Process billions of vehicle telemetry records to identify usage patterns, dwell times, and operational inefficiencies using Spatial SQL at scale.
  </Card>

  <Card title="Infrastructure Monitoring" icon="road-barrier" iconType="solid" href="/tutorials/example-notebooks/rasterflow-tile2net">
    Detect road surfaces, sidewalks, and infrastructure conditions from satellite or aerial imagery using RasterFlow computer vision models.
  </Card>
</CardGroup>

## Key Capabilities

<AccordionGroup>
  <Accordion title="Map matching at scale" icon="location-crosshairs">
    Use WherobotsAI's map matching to snap GPS trajectories to road networks with high accuracy. Process entire fleet histories in batch or schedule recurring jobs.

    <Columns cols={2}>
      <Card title="Map matching on road networks" icon="route" href="/tutorials/wherobotsai/map-matching/map-matching-road-networks" horizontal>
        Snap trajectories to road segments with WherobotsAI.
      </Card>

      <Card title="Matching vehicle GPS data at scale" icon="car" href="/tutorials/example-notebooks/gps-map-matching" horizontal>
        Run map matching across an entire fleet history.
      </Card>
    </Columns>
  </Accordion>

  <Accordion title="Drive-time and service area analysis" icon="clock">
    Generate isochrones from distribution centers, hubs, or customer locations to model service areas, optimize delivery windows, and plan network coverage.

    <Card title="Making drive time isochrones" icon="clock" href="/tutorials/example-notebooks/isochrones" horizontal>
      Model service areas by travel time rather than radius.
    </Card>
  </Accordion>

  <Accordion title="Road network and infrastructure detection" icon="road">
    Apply RasterFlow models to detect rural roads, sidewalks, and surface conditions from satellite imagery. Identify underserved areas or infrastructure gaps without manual surveys.

    <Columns cols={2}>
      <Card title="Detecting roads with RasterFlow" icon="road" href="/tutorials/example-notebooks/rasterflow-chesapeake" horizontal>
        Find roads in areas where basemaps are thin.
      </Card>

      <Card title="Detecting sidewalks with RasterFlow" icon="person-walking" href="/tutorials/example-notebooks/rasterflow-tile2net" horizontal>
        Map pedestrian infrastructure from aerial imagery.
      </Card>
    </Columns>
  </Accordion>

  <Accordion title="Spatial outlier detection" icon="chart-scatter-bubble">
    Identify anomalous GPS points, unusual route deviations, or fleet behavior outliers using Local Outlier Factor analysis on geospatial data.

    <Card title="Local Outlier Factor" icon="triangle-exclamation" href="/tutorials/example-notebooks/local-outlier-factor" horizontal>
      Surface spatial outliers that summary statistics hide.
    </Card>
  </Accordion>
</AccordionGroup>

## Wherobots Advantage

| Challenge                                | How Wherobots Helps                                                                    |
| ---------------------------------------- | -------------------------------------------------------------------------------------- |
| Billions of daily GPS records            | Serverless compute processes massive trajectory datasets without infrastructure limits |
| Real-time and batch processing needs     | SQL API for real-time queries; Airflow for scheduled batch pipelines                   |
| Accuracy of GPS data on road networks    | Purpose-built map matching algorithms snap noisy GPS to road segments                  |
| Multi-modal data (GPS, imagery, vectors) | Unified engine handles vector, raster, and telemetry data in one workflow              |

<Card title="Get started with Wherobots" icon="rocket" href="/get-started/wherobots-cloud/start-notebook" cta="Run your first notebook">
  Try Wherobots with your own geospatial data in minutes.
</Card>