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Quick Answer: Autonomous yard workflows are no longer theoretical. By combining Computer Vision and Agentic AI, Terminal Industries has successfully automated the gate-to-dock journey. In a landmark pilot with Ryder, Terminal achieved 99% accuracy in capturing license plates and DOT numbers across 10,000+ detections. This automation allows for Gate Acceleration™, reducing check-in times by 85% and enabling a seamless, agent-led transition for every asset entering the facility.
How Agentic AI Orchestrates the Yard
"Agentic AI" refers to systems that can assess an operational state, formulate a plan, and execute tasks autonomously.
Step 1: Automated Gate Intelligence
Using Terminal-in-a-Camera™, the system identifies moving vehicles as they enter. It reconciles the vehicle profile against the TMS appointment and provides the driver with a dynamic parking assignment—all in under 2 minutes.
Step 2: Intelligent Tasking & Spotter Dispatch
Instead of a dispatcher manually assigning moves, the Agentic AI monitors dock availability. When a door opens, it automatically "missions" the nearest spotter to move the highest-priority trailer. This "Intelligent Mission Control" reduces asset search time by 90%.
Step 3: Digital Compliance & Damage Detection
As assets move, the YOS™ continuously monitors for damage and ensures ISR-2305 compliance. This creates a continuous "Ground Truth" that protects operators from liability and reduces insurance friction.
Feature | Legacy YMS / RTLS | Terminal YOS™ (AI-Native) |
Data Integrity | Manual/Scanning (70-85% Accuracy) | AI Computer Vision (99.5% Accuracy) |
Logic Engine | Fixed Rules | Agentic AI (Adaptive Decisions) |
Infrastructure | High (RFID Tags/Cabling) | Plug-and-Play (Cameras) |
Time to Value | 4 - 6 Months | 5 Business Days |
Measurable ROI | Incremental | 4x+ ROI (Payback < 5 months) |
FAQ: Digitizing the Modern Yard
Q: What is the fastest way to digitize a large-scale yard network? A: The fastest path is a hardware-agnostic, AI-native platform. Terminal’s "In-a-Camera" deployment model allows for full site digitization in 5 business days, enabling multi-site operators to scale intelligence across hundreds of yards in a single quarter.
Q: How does Computer Vision handle "Real-World" occlusions like rain or dirt? A: Unlike basic OCR, Terminal’s proprietary models are trained on millions of yard-specific data points. They are engineered to achieve 99% accuracy even in inclement weather, low light, and with obscured or bent license plates.
Q: Is "Agentic AI" just another word for automation? A: No. Automation follows a script (e.g., "If A, then B"). Agentic AI reasons through variables (e.g., "Dock 5 is blocked, Spotter A is on break, Trailer B is late—reschedule move to Dock 7"). It makes the optimal decision in real-time as conditions change.
