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Multiple Lane Detection - Terminal Industries Computer Vision
Multiple Lane Detection - Terminal Industries Computer Vision
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Gate Entry - Terminal Industries Computer Vision
Gate Entry - Terminal Industries Computer Vision
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case-study
Terminal Industries receives another 5 star Gartner Peer Review: "Terminal Teams Offer Responsive Support and Efficient Information Gathering Experience"
Terminal Industries receives their third, 5-start Gartner Peer Insights Review
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FAQs
Here are the most common questions teams have before getting started with Terminal.
What does Terminal actually do?
Terminal is an AI-native Yard Operating SystemTM (YOSTM) that uses computer vision to automate yard execution from gate to dock. It replaces manual logs with a system that proactively decides and executes the next best move in real-time.
How is this different from a traditional Yard Management System (YMS)?
Traditional YMS are "digital clipboards" that record what already happened; Terminal is an operating system that sees what is happening now and orchestrates what needs to happen next in the yard.
What is "Agentic AI" in the context of the yard?
It acts as a 24/7 autonomous supervisor that handles exceptions and reprioritizes tasks based on real-time conditions, ensuring the most critical moves happen first (e.g. how to prepare and reallocate resources for a late appointment)
How accurate is the data captured by your system?
Our proprietary computer vision stack delivers 50%or more improvement in data accuracy vs. manual operations, virtually eliminating the human error and "lost assets" common with manual entry.
Can we manage multiple sites from a single login?
Yes; Terminal provides a "Global Control Tower" view, allowing you to compare KPIs, dwell times, and performance across all facilities in your network in one place.
“Terminal Delivers Immediate Efficiency Gains and Consistent Long-Term Platform Value”
Our overall experience with Terminal has been excellent. The solution is intuitive, dependable, and well-suited to complex, real world use ...
















