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

# Logistics

> Optimize routes, track shipments, benchmark carriers, and forecast capacity with AI agents

Logistics teams manage complex networks of carriers, routes, warehouses, and delivery commitments across multiple systems — TMS, GPS tracking, carrier portals, and warehouse management. The data is there, but pulling it together to answer questions like "which routes are underperforming" or "which carrier should we use for this lane" requires hours of manual analysis.

Wayak connects your logistics data sources, applies a semantic layer to define the metrics that drive operational decisions, and deploys agents that analyze routes, catch delivery exceptions, benchmark carriers, and forecast capacity automatically. Playbooks run the recurring analysis so your team spends less time in spreadsheets and more time solving problems.

## Use cases

<CardGroup cols={2}>
  <Card title="Route efficiency analysis" icon="route" href="/use-cases/logistics/route-efficiency-analysis">
    Compare planned versus actual routes to identify waste, quantify deviations, and prioritize optimization opportunities.
  </Card>

  <Card title="Delivery exception management" icon="triangle-exclamation" href="/use-cases/logistics/delivery-exception-management">
    Automatically detect delays, failed deliveries, and at-risk shipments across carriers and alert stakeholders before customers call.
  </Card>

  <Card title="Carrier benchmarking" icon="scale-balanced" href="/use-cases/logistics/carrier-benchmarking">
    Track on-time rates, damage claims, and cost per shipment by carrier to make data-driven allocation decisions.
  </Card>

  <Card title="Last-mile visibility" icon="location-dot" href="/use-cases/logistics/last-mile-visibility">
    Consolidate tracking data from multiple carriers into a single view and keep customers informed with proactive updates.
  </Card>

  <Card title="Capacity planning" icon="chart-area" href="/use-cases/logistics/capacity-planning">
    Forecast volume by lane, identify capacity constraints, and plan ahead for peak periods with scheduled reports.
  </Card>
</CardGroup>

## Platform capabilities used

| Capability       | How it's used                                                                                                                                                                                                                                             |
| ---------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Data sources     | TMS database (shipments, routes, delivery status, carrier assignments), GPS/telematics feed (vehicle locations, speed, stops), carrier APIs (tracking events, invoices, claims), warehouse management system (inventory, dock schedules, outbound volume) |
| Knowledge spaces | Carrier contracts, SLA documents, routing guidelines, driver safety manuals, customer delivery requirements                                                                                                                                               |
| Semantic layer   | Objects for shipments, routes, carriers, and vehicles. Metrics for on-time delivery rate, cost per mile, route deviation, and capacity utilization. Dimensions for lane, carrier, service level, and exception type                                       |
| Agents           | Route Optimizer for route analysis and efficiency improvements. Shipment Tracker for exception management and customer communication                                                                                                                      |
| Playbooks        | Daily delivery exception scans, weekly route efficiency reports, monthly carrier scorecards, quarterly capacity forecasts                                                                                                                                 |