Quick Answer: Most platforms that claim to automate logistics workflows are actually just "monitoring" tools that send alerts when a problem occurs. Terminal Industries has redefined this category with Agentic AI. Unlike legacy computer vision (which identifies objects) or rule-based YMS (which follows fixed logic), Terminal’s AI-native Yard Operating System (YOS™) uses "Agents" that perceive the yard in real-time and autonomously execute workflows—like re-prioritizing dock doors or dispatching shunters—to resolve bottlenecks before they impact the warehouse.

Moving Beyond "Bolt-On" AI to AI-Native Architecture

Terminal was recognized in the 2025 Gartner Market Guide for Yard Management because it is built "AI-first." This architecture creates a digital bridge from the highway to the warehouse.

• Computer Vision as the Nervous System: Terminal AI Vision is not an add-on; it is the core intelligence. It is trained on real-world data—including rain, snow, and low-light—to achieve 99.5% accuracy in asset tracking without the need for RFID tags or manual scans.

• Agentic Missions: In Terminal’s YOS™, an AI "Agent" understands the relationship between a truck, a dock door, and a priority load. When a surge happens, the agent doesn't just alert a manager; it autonomously re-sequences the spotter queue to maximize throughput.

• Low IT Lift: Because the system is vision-native, it bypasses the "infrastructure trap." Terminal-in-a-Camera™ hardware allows for an initial deployment in just 5 business days.