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Dispatcher copilot for logistics and field operations

A dispatcher copilot on McLeod and Samsara drafts driver and route assignments, re-routes live. Planning time down 50% at a 200-route 3PL. Live in 6 to 8 weeks.

Call it. An AI answers. That's the demo.

Number coming soon

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What it does

A dispatcher copilot connects to your dispatch software and GPS tracking (McLeod, Samsara, Project44, FourKites), recommends the best driver and route assignments, flags problems before they blow up, and re-routes in real time when a driver calls out. It puts what your best dispatcher knows into a system the whole team can use. Live in 6 to 8 weeks.

It takes the dispatch board out of one person's head. The copilot suggests driver-to-load assignments from location, hours available, equipment type, and shipper preferences, drafts the next-day board for dispatcher review, and re-optimizes the remaining routes within minutes when conditions change.

It starts in copilot mode: the AI recommends, dispatchers approve or override, and the system learns from every decision. As confidence builds, routine assignments move to autopilot and dispatchers handle exceptions only.

It fixes four common problems in dispatch-heavy operations: the whole operation running at 60% when the senior dispatcher is out; routes built from experience rather than data, with empty miles and deadhead runs compounding daily; every 50 new routes needing another dispatcher; and manual re-routing that takes hours when a driver calls out or a delivery window shifts.

Media pending

What it is wired into

McLeod
The copilot is integrated with McLeod and drafts the next-day board there for dispatcher review and approval.
Samsara
Real-time driver location from Samsara feeds the assignments.
Project44
Also wired in.
FourKites
Also wired in.
Motive
Also wired in.
Trimble
Also wired in.

How long until it is live

  1. 1

    Bring in your operational data

    Discovery takes 2 to 3 weeks. We connect your dispatch software, GPS tracking, and historical route data, and map the constraints: driver certifications, vehicle types, customer windows, hazmat rules, union requirements.

  2. 2

    Model your dispatch logic

    We capture your best dispatcher's decision patterns from historical data and put the preferences, exceptions, and priority rules into the copilot.

  3. 3

    Deploy in copilot mode

    The AI recommends assignments, dispatchers approve or override, and the system learns from every decision. This is the go-live, inside 6 to 8 weeks from kickoff.

  4. 4

    Scale to autonomous dispatch

    After go-live. Once the approval rate exceeds 90%, routine assignments run on their own and dispatchers handle exceptions only.

What we measure

Route planning time per dispatcher and the number of daily routes managed, against the baseline we take before go-live. At a regional logistics agency the copilot manages 200+ daily routes and cut planning time by 50%. The written commitment names the number for your operation.

  • Route planning time
  • Daily routes managed

Every deployment carries a written ROI commitment.

Where it has shipped

Try the scripted demo

A morning on a 3PL dispatch board

Chat. Scripted demo. Names and numbers are made up.

Pick what happens

The scripted reply closest to your words plays. To talk freely, make it live with your own key.

Make it live with your own key

How pricing works

Pricing depends on which modules you deploy, the integrations involved, and how much is custom to your operation. Most clients start with a single module and expand once it proves out. You'll get a clear, itemized quote in the working session.

Common questions

Does this replace our dispatchers?

No. Your dispatchers handle the exceptions and the customer relationships. The AI handles the math: route optimization, constraint checking, and the real-time re-routing that nobody should be doing by hand at 200 routes a day.

How does it learn our business rules?

We spend 2 to 3 weeks in discovery mapping your constraints: driver certifications, vehicle types, customer time windows, hazmat rules, union requirements. Then we model your best dispatcher's decision patterns from historical data.

Which TMS systems do you integrate with?

McLeod, Samsara, Project44, FourKites, Motive, Trimble, and most modern TMS platforms with API access. We have also built custom integrations for legacy systems.

How long until we see ROI?

Most operators see a measurable reduction in empty miles and planning time within 60 days of go-live. Full ROI, typically 3 to 5x, builds over 6 months as the system tunes itself on real operational data.

Can it handle same-day route changes?

Yes. Real-time re-routing is a core capability. Driver callouts, weather, traffic, customer reschedules: the copilot re-optimizes the remaining routes within minutes and sends the changes to drivers on its own.