Built for the operations behind every load.
Trucking runs on speed. The operator who books the right load first wins it. The dispatcher who spots an exception first fixes it before it becomes a claim. The ops manager who sees the whole board clearly makes better calls all day. AI doesn't replace any of that. It gives your team the leverage to do more of it, faster.
Built around how a dispatch floor actually runs.
Load booking that filters itself.
Instead of your team scanning boards for hours, an AI agent filters inbound loads against your lane preferences, equipment availability, rate floors, and driver HOS. What lands on your desk is a shortlist of loads already worth reviewing.
Customer service that doesn't eat the afternoon.
Status requests, ETA updates, delivery confirmations, and tracking questions get handled automatically from your TMS data. Your CSRs escalate the exceptions. The routine questions stop owning their inbox.
Ops decisions with real context.
An AI layer across your TMS, ELD, and email surfaces what actually needs attention. A load running late. A lane that's suddenly unprofitable. A driver approaching HOS limits with three hours still planned. Your ops manager walks in with the board pre-triaged, not a pile of tabs.
Accessorial revenue that doesn't slip.
Detention, layover, TONU, reconsigns. The revenue that leaks when nobody has time to chase documentation. AI monitors your shipment data and assembles the paperwork while the event is still fresh. You bill for the work you actually did.
We sit across your systems. Not in front of them.
Trucking doesn't need another platform to log into. You already have a TMS, an ELD, a load board workflow, and a team that knows how to use them. What you need is AI that sits across those systems and hands your people the next best action without another login.
Every engagement starts with a shift on the dispatch floor. We listen to CSR calls. We watch how load decisions actually happen. We talk to the ops manager about what they wish they knew at 7am. Then we build what fits the operation. Not the other way around.
If the honest answer is that a process needs to be tightened before it can be automated, that's what we'll tell you. Scaling a broken dispatch process with AI just breaks it faster.