AI for trucking and logistics
Dispatch and back-office work handled by agents that talk to drivers and brokers, and write back to your TMS.
What this solves
Dispatchers spend most of their day on status calls: where is the driver, what is the ETA, has the receiver been notified. Our agents take those calls and messages, update the load record, notify the receiver and escalate only the exceptions a person needs to judge. The same system handles load booking, carrier sourcing and invoice processing.
What it covers
- Load booking automation
- Dispatch AI assistant
- Freight matching
- Route optimization
- Driver communication
- Fleet analytics
- Load tracking and ETA management
- Invoice and document processing
What changes after rollout
Carriers running this typically see around 60% of routine driver check-ins handled without a dispatcher, and roughly 70% less manual work across the dispatch queue.
How we deploy it
Scope in week one, build in weeks two to four against your own data, supervised pilot in weeks five and six, then we operate it and report monthly. You get a support line, not a ticket queue.
Common questions
- Does the AI talk to drivers by phone or text?
- Both. Drivers can call in or be called, and the same agent handles SMS and WhatsApp. Conversations are transcribed and attached to the load record.
- Will it work with our TMS?
- Yes. We integrate with transportation management systems over their APIs, and where no API exists we work with scheduled exports and webhooks.
- What happens when the AI cannot handle a call?
- It hands off to a dispatcher with the transcript and the load context already loaded, so nobody starts the conversation from scratch.
Talk through ai for trucking and logistics with the engineer who would build it.
Free 30-minute scoping call with an engineer. No commitment.