Monitor Freight Like You Monitor Production

Freight visibility is stuck in 2005

Most freight visibility today means logging into a carrier portal and seeing two statuses: picked up and delivered. If something goes wrong between those two events, you find out when the receiver calls asking where their freight is. Your team spends hours on check calls, chasing carriers, and updating spreadsheets. This is the equivalent of monitoring a production system by waiting for user complaints. A proper freight control tower changes this entirely.

Software engineering solved this problem years ago. Teams use Datadog, New Relic, and PagerDuty to monitor systems in real time, detect anomalies automatically, and alert on exceptions before users notice. Freight needs the same approach. Not a tracking page. An observability stack.

The Warp observability stack

Orbit is to freight what Datadog is to infrastructure

Datadog does not just show you server metrics. It watches everything, correlates anomalies across systems, and alerts your team before users notice downtime. Our AI backbone, Orbit, does the same thing for freight. It watches every load across 20,000+ carriers, correlates events across pickups, cross docks, line haul, and deliveries, and surfaces exceptions automatically.

The result: your operations team stops spending time on check calls and status updates. They spend time on the exceptions that actually need human attention. Orbit handles the monitoring. Your team handles the decisions.

The three pillars of freight observability

Software observability has three pillars: logs, metrics, and traces. Freight observability has its own three pillars, built on the same principles.

12+ granular shipment statuses

Every Warp shipment moves through 12+ statuses, each with timestamps and GPS coordinates. Your system receives each status change via API polling or webhook push. This is not a tracking page. It is a structured event stream.

Webhook event example

When a shipment status changes, Warp pushes a structured JSON event to your registered webhook URL. Here is what a pickup event looks like.

{
  "event": "shipment.status_changed",
  "shipmentId": "shp_01HGA2K9MNPQ4RV8XW3YZ5TJ6",
  "trackingNumber": "WARP1234567890",
  "status": "pickupSuccessful",
  "previousStatus": "arrivedAtPickup",
  "timestamp": "2026-04-03T10:15:00Z",
  "location": {
    "lat": 34.0522,
    "lng": -118.2437,
    "city": "Los Angeles",
    "state": "CA"
  },
  "metadata": {
    "scanCount": 4,
    "palletIds": ["PLT-001", "PLT-002", "PLT-003", "PLT-004"],
    "driverName": "Dispatched carrier",
    "vehicleType": "STRAIGHT_TRUCK_26"
  }
}

Traditional visibility vs. freight observability

Built for operations teams and for code

Freight observability works at both the human and system level. Your operations team gets a dashboard with real time shipment status, exception alerts, and performance metrics. Your engineering team gets a REST API, webhooks, and structured JSON events that pipe directly into your systems. Same data, two interfaces.

For teams running automated supply chains, freight observability means your code can react to shipment events in real time. A webhook fires when freight is scanned into a cross dock. Your WMS updates inventory. Another webhook fires when the delivery is complete. Your order management system closes the order. No humans in the loop. No check calls. No spreadsheets. Read more about what is freight observability to understand the full concept.

Frequently asked questions