Logistics margins are thin. Manual processes make them thinner.

Because the hire is the reflex, and it's the one that eats a thin logistics margin. Every vendor is pitching you AI right now, and most of it doesn't survive contact with a dispatch floor. But adding more dispatch or ops staff just locks in the cost of the manual tracking. Ten more of those roles is roughly $1M a year in loaded payroll (a stated assumption at about $100K each) for the high-volume, repetitive tracking and follow-up work a system runs continuously. Your team stays on the exceptions and the customer relationships; the system does the tracking, the status updates, and the paperwork. You move from staffing every volume spike with headcount to margins that hold because the manual work doesn't compound with growth. This is about the roles you haven't posted yet.

TMS platforms are transaction systems. They record what happened. Our systems actively work - communicating with customers, managing carrier relationships, and flagging exceptions before they become problems. They layer on top of your TMS, not replace it.

Yes - and this is one of the strongest use cases for AI in logistics. Agents work 24/7 without overtime. Customer updates, exception alerts, and carrier communication don't stop at 5pm.

We integrate with EDI, API, and email-based carriers alike. The AI normalizes inbound rate quotes, tracking updates, and exceptions so your dispatchers and ops team aren't retyping data.

Field workflows run over SMS, voice, or the apps they already use. Nobody learns a new tool to clock in, update a load, or report an exception.

First system in 30-60 days - the first milestone in a deployment arc that puts a working system in your operation inside the first 100 days. Margin lift typically shows up first in detention and demurrage capture, exception handling, and back-office labor costs.

Yes. We specialize in stitching mismatched stacks together - WMS, TMS, ERP, CRM. You don't need to consolidate to start getting value.

No usage fees on shipments or loads. Flat engagement, you own the systems. Costs don't scale with your volume.

Because on thin margins, the hire is the most expensive way to add capacity. The AI hype machine wants to sell you a platform; your instinct says add another dispatcher to cover the loads. Both lock in the cost of the manual work. Ten more dispatch and back-office hires runs roughly $1M a year in loaded payroll (a stated assumption at about $100K each) for status updates, carrier onboarding, and AR a system runs at any hour without overtime. Your team stays on the exceptions and the relationships that actually move margin; the system does the repetitive volume. You go from adding a desk for every uptick in loads to handling more freight on the crew you already have. This is about the roles you haven't posted yet.