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OCR (the "AI camera" most gate vendors actually sell) just reads characters into a string and hands the work back to your guard, dispatcher, and clerk, which is why a faster clipboard never transforms a yard. Terminal's computer vision reads, then classifies and understands the whole scene, then acts on it (open the gate, hold the fraudulent carrier, route the reefer), turning recorded data into orchestrated decisions worth 4x ROI in year one.

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Computer vision is still priced like 2010s enterprise software: six figures up front, long implementations, and a point tool you manage on the side. The economics underneath it have shifted, so Terminal delivers CV at a price built for ROI, folded into the yard platform you already run rather than bolted on beside it.

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The YOS era retires the purpose-built YMS, which is still just a tidier task list, and replaces it with an AI-native system that orchestrates yard missions from data it captures directly. In doing so, it closes the highway-to-warehouse gap and feeds your WMS the clean, live input it needs to finally run at full speed.

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Cargo fraud has made the yard the supply chain's most exposed point, yet yard security and yard management have always been treated as separate problems bought from separate vendors. Terminal's argument: AI-native development has collapsed that tradeoff, making it possible for the first time to converge both into one system at the gate, where custody actually changes and the decision to lift the arm still matters

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For decades, cargo theft looked a certain way. Criminals cut fences, broke locks, and physically stole freight. Security strategies evolved around that reality. Companies invested in gates, cameras, lighting, and guards to keep bad actors out.

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PepsiCo recently became the first major consumer goods company to deploy fully driverless trucks at scale, operating commercial routes without a human behind the wheel. The trucks are making deliveries to customers such as Walmart and Dollar General, achieving impressive levels of reliability and demonstrating just how quickly autonomous transportation is moving from experiment to reality.

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In the past week, Figure AI announced a commercial agreement with Catalyst Brands, the parent company of JCPenney, Aéropostale, and Brooks Brothers, to deploy humanoid robots into its distribution and logistics network. The initial rollout will begin at Catalyst’s Reno, Nevada Distribution Logistics Center, where the robots will focus on physically demanding supply chain tasks.

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The race toward warehouse automation is accelerating fast. According to recent Gartner predictions, by 2030, more than 50% of warehouse operations are expected to adopt some form of robotics or automation to support workload handling and fulfillment execution. Across the industry, companies are investing heavily in robotic picking systems, autonomous forklifts, AI-powered inventory management, and warehouse orchestration software as o

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For years, supply chain innovation has been defined by a race toward automation. Companies invested heavily in robotics, sensors, AI tools, autonomous equipment, and warehouse modernization initiatives, all with the promise of faster operations and greater efficiency.

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Joby Aviation launched a week-long flight campaign, running real, point-to-point electric air taxi routes between JFK and Manhattan. What used to take over an hour on the ground now takes under 10 minutes in the air.