YMX Logistics announced the expansion of its Yard Operating System (YOS), introducing new capabilities to automate data capture, analysis, decision-making, and deliver autonomous yard operations across multi-site networks.

The expanded platform, YMX OS, combines several components, including an embedded yard management system that provides real-time visibility and control across yard operations, along with automated data capture tools such as self-service kiosks, computer vision systems and sensor-based technologies, as well as mobile applications.

At the core of the platform is an “autonomous operational twin,” a predictive analytics and AI-powered decision engine that enables YMX teams to analyze, test, and continuously optimize yard operations, the company said in a news release. The model evaluates layout configurations, fleet sizing, labor planning, traffic flow, and electrification strategies, allowing YMX and its customers to accurately quantify operational and financial impacts.

The system also integrates electrification into its operating model, aligning yard workflows, charging infrastructure, and energy management strategies to maximize the performance of electric yard trucks at customer sites, helping customers improve utilization and reduce energy costs.

Once standardized processes and data systems are in place, the company said it can deploy autonomous yard trucks as part of the broader operating model, particularly in complex environments where consistency can be difficult to maintain.

The company is also introducing a new pricing model tied to operational performance rather than traditional labour- or equipment-based structures.

“Most yard operations today are managed as labor-driven functions rather than controlled systems,” said Erin Mitchell, chief operating officer of YMX Logistics. “By standardizing execution, instrumenting the yard with digital intelligence, and aligning operations to performance outcomes, we’re giving enterprise shippers the most predictable and measurable way to operate one of the most challenging parts of their network.”