YMX yard AI cut grocery fleet by 36%, scaled to nine sites in six months

A top-five U.S. grocery distributor cut its yard truck fleet from 22 units to 14 after deploying YMX Logistics' Autonomous Yard Operating System, a roughly 36% reduction while improving throughput and safety. The model then expanded from a single site to nine sites within six months.

How does YMX's system reduce yard truck fleet size?

YMX builds what it calls a Digital Operational Twin of the yard. The system ingests yard data, service needs, and site-level constraints, then runs simulation and optimization models before recommending equipment, staffing, or process changes. Rather than deploying technology first and hoping it fits, YMX models the yard, tests alternatives digitally, and validates a plan before anything changes on the ground.

Key components include AI-powered yard modeling, decision support layered on top of a yard management system, machine-learning-based labor and throughput forecasting, automated gate transactions, and spotter-based computer vision that reads trailer numbers and monitors trailer condition in real time. An AI-driven safety intelligence layer runs alongside all of it.

YMX CEO Matt Yearling has described the baseline as yards at even the largest shippers running on "two channels on a radio and pen and paper," with little to no visibility into how a yard was actually sized, laid out, or performing relative to what it could be.

What metrics does YMX track across its customer base?

YMX tracks dwell time, yard driver productivity, congestion, truck wait time, empty moves, dock utilization, safety incidents, gate throughput, cost per move, asset utilization, and network consistency.

Across its book of business, YMX cites target and observed improvement ranges of 15-30% lower dwell time, 10-25% higher driver productivity, 20-40% less congestion and wait time, 15-25% fewer empty moves, 10-20% better dock utilization, and 15-30% fewer safety incidents.

The grocery distributor case ran with minimal technology and no real forecasting layer before YMX. After deployment, the site cut its yard truck fleet while improving throughput, safety, and control at the same time.

What does "autonomous" mean in this context?

Autonomous in YMX's naming does not mean replacing yard workers or deploying autonomous trucks at scale. It means using AI to sense yard conditions, forecast labor demand, recommend decisions, automate data capture, and orchestrate workflows. All of these elements help turn the yard into a continuously improving execution layer.

Unlike traditional yard management tools that mainly provide visibility, this system is built to improve execution across fleet sizing, labor planning, gate throughput, inventory accuracy, safety, EV charging, and cost.

Why the yard matters for fleet TCO

Enterprise shippers have already spent heavily on TMS, WMS, visibility platforms, and analytics, yet delays, congestion, detention, labor inefficiency, safety exposure, and rising costs keep showing up anyway. The yard sitting between those systems has remained disconnected.

When the yard is slow, blind, or poorly coordinated, trailers wait, drivers wait, dock doors sit idle, inventory accuracy suffers, and service breaks down regardless of how good the technology is on either side of it. YMX's system is built for that handoff point, connecting trucks, trailers, drivers, gates, docks, yard trucks, and charging infrastructure with a layer of digital intelligence that improves decisions instead of simply displaying data.

Yearling has framed the broader arc of the industry as unfolding in stages: operational standardization, technology enablement, an electrification strategy, and finally autonomous operations, with digital intelligence and physical execution converging at the end of that journey. Many shippers are still stuck piloting three, four, or five look-alike technology point solutions without ever fixing the operating model underneath them. Skipping the standardization step is why so many yard technology pilots stall out.

What this means for fleets with yard operations

YMX Logistics was named an honoree in the Operational AI Integration category for logistics companies at the FreightWaves AI Excellence in Supply Chain Awards. The awards recognize real deployments and measurable outcomes as opposed to flashy pitches. Entries are judged on the strength of the AI application itself, how deeply it's integrated into existing workflows, and the tangible results it produces.

Adam Wingfield, FreightWaves' Editorial Director, said what stood out about YMX's entry is that it does not stop at visibility. A lot of yard technology sells you a dashboard and calls it done. YMX is willing to put a number on what changes when you are able to act on that data. A 36% fleet reduction is a result that is easy to verify.

For fleets running distribution centers or cross-dock operations, the implication is straightforward: the yard truck fleet you sized five years ago based on peak-day guesswork may be 30% larger than what a simulation-backed model would recommend today. The result is better efficiency, resilience, safety, and sustainability, all of which help shippers right-size their fleets, cut wasted moves, improve flow, optimize EV deployment, and standardize performance across sites.