Autonomous operations
Freight That Runs Itself
AI agents that quote, book, track, and manage freight without human intervention. The Warp API, CLI, our AI backbone Orbit, and webhook infrastructure combine into the stack for fully autonomous freight operations. This is not a concept. The tools exist today.
20,000+ carriers · 9,000+ box trucks and cargo vans · 50+ cross dock facilities
The vision: freight that requires no human attention
Combine everything Warp has built: the freight API, the CLI, our AI backbone Orbit, webhooks, and AI agent compatibility. The result is a system where AI freight agents handle the entire freight lifecycle. A shipping request comes in. The agent quotes, selects, and books the optimal carrier. Warp dispatches local 3rd party carriers through the driver app. Orbit monitors every mile. Webhook events keep the agent informed. Exceptions are handled automatically. Delivery is confirmed. The invoice is reconciled. No phone calls. No emails. No spreadsheets.
The autonomous freight stack
Eight steps from shipping request to invoice reconciliation. Every step is API driven. Every step can be executed by an AI agent without human involvement.
AI agent receives a shipping request
From your WMS, OMS, or a human in natural language. The agent parses the request and extracts origin, destination, item details, and constraints.
Agent calls Warp quote API
POST /freights/quote returns instant rates across cargo van, box truck, LTL, and FTL. The agent applies your business rules: budget limits, transit time requirements, mode preferences.
Agent books the optimal option
POST /freights/booking with the selected quoteId. Warp returns a shipmentId and trackingNumber. The booking is confirmed in seconds.
Warp dispatches local 3rd party carriers
Local 3rd party carriers receive the assignment through the Warp driver app. They get pickup instructions, route guidance, and scan prompts.
Orbit monitors the shipment in real time
Our AI backbone, Orbit, watches live GPS, scan events, temperature readings, and route compliance. Every anomaly is flagged automatically.
Webhook events flow to the agent
Status changes and exception alerts are pushed to your AI agent via webhooks. The agent maintains a live picture of every shipment in flight.
Agent handles routine exceptions autonomously
Missed pickup? The agent rebooks from the same network. Customer needs an update? The agent sends a notification. Temperature deviation? The agent escalates to your quality team. All without human intervention.
Delivery confirmed, invoice reconciled
Proof of delivery captured through the driver app. Invoice available via GET /freights/invoices/{orderId}. The agent reconciles against your purchase order and closes the loop.
What autonomous means in practice
Autonomous does not mean uncontrolled. Your AI agent operates within the business rules you define: maximum spend per shipment, preferred vehicle types, required transit windows, approved origin and destination regions. The agent makes decisions within those guardrails. When it encounters a situation outside its rules, it escalates to your team.
In practice, autonomous freight operations means your logistics team stops spending time on routine execution. They stop calling carriers for quotes. They stop copying tracking numbers between systems. They stop sending email updates about delivery status. The AI agent handles all of that. A freight control tower provides the visibility layer. Your team focuses on the work that actually requires human judgment: negotiating strategic partnerships, designing network optimizations, handling truly novel exceptions, and making decisions that shape the business.
What still needs humans
Autonomous does not mean humans disappear. It means humans focus on what they do best. Here is where human involvement remains essential:
- -Novel exceptions. A carrier shows up with the wrong equipment type for the first time. A natural disaster reroutes an entire region. Situations the agent has never encountered require human judgment.
- -Strategic decisions. Should you shift volume from LTL to FTL on this lane? Should you open a new cross dock in the Midwest? Should you change your transit time requirements for Q4? These are human decisions.
- -Relationship management. Key accounts want to talk to a person. Complex programs need a human partner to design and optimize. The agent executes. Humans architect.
- -Business rule updates. As your freight needs evolve, someone needs to update the guardrails the agent operates within. New budget limits, new carrier preferences, new service level requirements.
The infrastructure exists today
This is not a roadmap slide. Every component of autonomous freight operations is live in production:
Warp Freight API
Quote, book, track, settle.
POST /freights/quote for instant rates. POST /freights/booking to confirm. POST /freights/tracking for real time status. GET /freights/invoices for settlement. Ten endpoints covering the full lifecycle.
Warp CLI
Freight from the command line.
warp quote, warp book, warp track. Every command outputs parseable JSON. Perfect for shell scripts, cron jobs, and AI coding tools like Claude Code.
Orbit + Webhooks
Monitoring and event delivery.
Our AI backbone, Orbit, monitors every shipment. Webhook events push status changes and exceptions to your agents in real time. No polling required.
AI agent frameworks exist today. Claude Code, LangChain, CrewAI, AutoGPT, and custom agents built in Python or Node.js can all call the Warp API and process webhook events. The gap between manual freight operations and autonomous freight operations is not technology. It is adoption. Learn more about what is agentic AI in freight.
The maturity curve
Most companies do not jump straight to fully autonomous operations. The path typically follows four stages, and Warp supports every stage with the same platform:
Manual
Your team emails brokers, calls carriers, and checks tracking portals. Every shipment requires human attention from quote to delivery.
Where most shippers start
Assisted
Your team uses a TMS to compare rates and book shipments. Tracking is centralized but exception handling is still manual. Warp API handles quoting and booking.
API integration phase
Automated
AI agents handle quoting, booking, and tracking. Routine exceptions are handled by rules. Your team focuses on novel problems and strategic decisions.
Agent integration phase
Autonomous
AI agents manage the full lifecycle. Orbit monitors every shipment. Agents handle all standard exceptions. Humans intervene only for novel situations and strategic decisions.
Full autonomy
How to start
You do not need to go autonomous on day one. Start by integrating the Warp API for quoting and booking. Let your team handle exceptions manually while the agent builds a history of shipment patterns. Then gradually automate exception handling as your confidence grows. The Warp API, CLI, and webhook infrastructure scale with you from assisted to fully autonomous.
Week 1
Connect your agent to the Warp API.
Generate an API key from your Warp dashboard. Connect your AI agent or TMS. Start quoting and booking programmatically.
Week 2 to 4
Add tracking and webhook subscriptions.
Register webhook URLs for status updates and exception events. Your agent starts receiving real time shipment data. Build your exception handling rules.
Month 2+
Enable autonomous exception handling.
Your agent has a history of shipment patterns and exception types. Start letting it handle routine exceptions automatically. Escalate only novel situations to your team.
Frequently asked questions
What does autonomous freight operations mean?
AI agents handle the entire lifecycle of a shipment: quoting, booking, tracking, exception handling, and settlement. Humans are only involved for novel exceptions and strategic decisions.
Is the technology for autonomous freight available today?
Yes. The Warp API, CLI, webhooks, and our AI backbone Orbit all exist today. AI agent frameworks like Claude Code, LangChain, and CrewAI can connect to these systems now.
What still needs human involvement?
Novel exceptions that have never been seen before, strategic decisions like changing carrier strategies, and relationship management with key accounts. Routine operations run autonomously.
How does the AI agent handle freight exceptions?
Our AI backbone, Orbit, monitors every shipment and fires webhook events when exceptions occur. The AI agent receives these events and applies your business rules: rebook, notify, escalate.
What AI frameworks work with Warp for autonomous operations?
Any framework that can make HTTP requests. Claude Code, LangChain, CrewAI, AutoGPT, custom Python or Node.js agents. The Warp API returns structured JSON designed for agent consumption.
The future of freight is autonomous. The infrastructure is ready now.
Warp API, CLI, Orbit, and webhooks. Every component of autonomous freight operations is live in production. Connect your AI agent and start shipping without human intervention.
20,000+ carriers · Structured JSON · Webhook events · Full lifecycle API