Dispatch time cut 68%

Cut dispatch decision time 68% by matching loads to drivers automatically.

Meridian Fleet Services - Dispatch time cut 68%
× Kiwi Dynamics
Industry Logistics / Trucking
Region United States
Client size Regional carrier, 200+ trucks
Delivered in 11 weeks

Inside the rollout

Meridian Fleet Services runs over 200 trucks across the Texas Triangle, and every load still had to be matched to a driver by a small dispatch team working the phones and a spreadsheet. Matching the right driver to the right load, factoring in hours-of-service limits, deadhead miles and equipment type, ate most of a dispatcher's shift, and a bad match could mean a driver running out of hours mid-route or a load sitting uncovered overnight.

Our approach

Meridian wanted an agent that could sit over their existing TMS and propose a ranked shortlist of drivers for every new load the moment it came in, factoring in the same constraints a senior dispatcher would, while leaving the final call with a human. We scoped narrow: one region, one equipment type, then expanded once dispatchers trusted the shortlist.

Results at a glance

We went from dispatchers eyeballing a board to getting a ranked list the second a load drops. They still make the call, but they are not starting from zero every time. Deadhead miles are down and nobody is scrambling to cover a load at 6pm anymore.

What the panel had to say about Meridian Fleet Services:

Meridian Fleet Services are an example of a business finding real margin in a problem everyone assumed was just the cost of scale. Cutting dispatch time by more than two thirds across a 200-truck fleet is not a small operational win, it changes what dispatchers spend their day doing.

The presentation to the panel made clear this was a team effort between dispatch and drivers, not something imposed from outside. That buy-in is a large part of why the system stuck rather than being quietly abandoned after launch.

AI is here. Most will react. The few with a plan will lead.

We build for those few.