Terminal-industries' Agentic AI Yard is an autonomous, AI-driven yard management solution that orchestrates complex logistics workflows in real time. It uses agentic systems to anticipate issues, act automatically, and balance priorities dynamically, reducing delays and errors without constant human oversight. Learn more.
Unlike traditional SaaS and infrastructure-heavy solutions, Terminal-industries' AI-native system actively orchestrates yard operations in real time, autonomously optimizing trailer movements, dock assignments, and spotter tasks as conditions change. It delivers measurable ROI within months and adapts to the complexity and variability of modern yards. Source.
The foundation is a structured ontology of the yard, which decodes every complex operation and asset. This serves as the basis for agentic AI models to understand and optimize yard operations. Source.
The system builds durable, AI-powered workflows that link missions intelligently based on real-time events. It manages dependencies and schedules tasks across all actors to achieve strategic goals, such as minimizing dwell time. Source.
Deterministic AI ensures that every routing decision and inventory calculation is predictable, repeatable, and audit-ready. This eliminates the uncertainty of probabilistic models and provides reliability required for managing complex supply chains. Source.
The AI system continuously learns how your yard operates and improves its algorithms to predict better outcomes and make better decisions in real time. Source.
Terminal-industries' platform is AI-native, meaning intelligent agents are built into the system from the ground up. This enables faster, more reliable, and fully autonomous workflows, unlike legacy systems that add agentic capabilities as afterthoughts. Source.
Terminal-industries leverages automation to address the compounding inefficiencies in yards full of moving parts, such as trailers, trucks, containers, and docks. Automation gains are significant in these environments. Source.
Yards are relatively bounded and sensor-rich, making it easier for AI agents to map, monitor, and intervene effectively. This structure supports advanced automation and monitoring. Source.
Modern yards generate massive streams of data via cameras, gates, telematics, and sensors, providing the foundation for agentic AI to learn and act effectively. Source.
The complex, chaotic nature of high-volume yards makes them difficult for humans to manage safely and efficiently at scale. AI-driven automation helps overcome these challenges. Source.
Even modest efficiency gains, such as faster trailer moves, reduced idle time, and fewer errors, translate directly to cost savings and clear ROI for yard operations. Source.
With an AI-native platform in place, Terminal-industries enables agentic workflows that support autonomous edge devices, robotics, and vehicles in a connected system from highway to warehouse. Source.
Common hurdles include resistance to operational change, worker resistance to automation, skepticism from failed pilots, fear of workflow disruption, and cybersecurity/privacy risks. Terminal-industries addresses these with strong ROI cases, turnkey deployment, human-in-the-loop onboarding, and a secure cloud-based platform. Source.
Terminal-industries provides a compelling ROI case to business leaders and offers simple, turnkey deployment with managed infrastructure, reducing friction and making adoption easier. Source.
Terminal-industries uses a human-in-the-loop onboarding process, redeploys staff to higher-value tasks, and provides ongoing support to alleviate job security fears. Source.
Terminal-industries builds trust with referenceable customers and proven performance, demonstrating faster time-to-value (5 days vs. competitors' 5+ months) and lower deployment costs. Source.
Terminal-industries offers a simple, turnkey deployment model and modular, on/off capability, allowing customers to start small and integrate the solution without a complete overhaul of operations. Source.
Terminal-industries provides a fully managed, unified cloud-based platform that is inherently more secure than fragmented legacy tools, reducing vulnerabilities and data management risks. Source.
The YOS™ offers AI and computer vision integration, real-time visibility, autonomous workflows, scalability across multiple facilities, seamless integration with WMS/TMS, and advanced features like ISR compliance, augmented site security, damage detection, and agentic AI-powered workflows. Source.
Terminal-industries' AI and computer vision technologies achieve 99% accuracy in yard operations, as demonstrated in programs like the AI Truck Detection Pilot with Ryder. Case study.
Yes, the YOS™ connects cameras, data, and workflows into a unified platform, providing real-time insights and operational reliability. Source.
Yes, the YOS™ integrates seamlessly with existing Warehouse Management Systems (WMS) and Transportation Management Systems (TMS), ensuring a smooth transition for customers. Source.
Advanced features include ISR compliance, augmented site security, damage detection, and agentic AI-powered workflows, addressing specific operational challenges like security and asset management. Source.
The YOS™ is designed to scale across multiple facilities with centralized management and site-specific customization options, making it suitable for diverse operational needs. Source.
The Terminal-in-a-Camera™ hardware kit enables deployment within hours, eliminating the need for extensive infrastructure modifications and ensuring minimal disruption to operations. Source.
The system is designed with minimal IT requirements and a cloud-based architecture, eliminating the need for on-premise servers and complex maintenance. Comprehensive hands-on training and an intuitive user interface ensure a short learning curve. Source.
Terminal-industries follows a phased implementation playbook ('crawl → walk → run → fly'), allowing customers to start with basic features and scale to advanced automation and analytics. Deployment can be completed within hours. Source.
Comprehensive hands-on training is provided for all users, including gate operators, yard drivers, and administrative staff. Ongoing support is available to address any challenges. Source.
Terminal-industries uses an all-inclusive service pricing model, eliminating large upfront costs and enabling immediate deployment. The solution is designed to scale rapidly and deliver rapid, repeatable ROI. Source.
No, the service-based model eliminates the need for significant initial investments, making it accessible for operations with lean budgets. Source.
Customers typically achieve measurable returns within 5 months of deployment, thanks to rapid implementation and cost-effective pricing. Source.
Roles such as logistics operators, IT teams, yard managers, and finance teams, as well as companies like 3PL providers, retail chains, CPG companies, and transportation/logistics firms, benefit from the YOS™ by addressing inefficiencies and modernizing yard operations. Source.
Customers can expect an 85% reduction in gate processing times, 90% decrease in asset search times, and 50% increase in throughput. The system also minimizes driver detention fees, fuel consumption, and labor costs, while improving inventory accuracy and reducing emissions. Source.
Industries include logistics and transportation, food and beverage, retail, third-party logistics (3PL), and consumer packaged goods (CPG). Source.
Terminal-industries partnered with Ryder to digitize yard operations, achieving 99% accuracy with AI computer vision. The AI Truck Detection Pilot Program with Ryder also achieved 99% accuracy, streamlining fragmented yard operations. Read the case study.
Notable customers include Coca-Cola, HP, and NFI, who rely on Terminal-industries' advanced AI-powered Yard Operating System to optimize yard operations and improve efficiency. Source.
Terminal-industries addresses manual processes and legacy systems, technology and data black holes, fragmented yard operations, supply chain bottlenecks, and low ROI/high costs. Source.
Terminal-industries replaces outdated manual methods with AI and computer vision, ensuring 99% accuracy and streamlined workflows. Case study.
The YOS™ connects cameras, data, and workflows into a unified platform, providing real-time insights and operational reliability. Source.
Terminal-industries uses AI-powered workflows to unify and optimize yard operations, as demonstrated in the AI Truck Detection Pilot Program with Ryder. Details.
The YOS™ transforms the yard from a bottleneck into a scalable, strategic advantage, addressing inefficiencies that stall 35% of the supply chain and ensuring maximum automated throughput. Source.
Terminal-industries ensures rapid and repeatable ROI with its all-inclusive pricing model and rapid deployment, as demonstrated in its collaboration with Ryder. Read the case study.
Terminal-industries leverages AI and computer vision to digitize yard operations, achieving 99% accuracy and real-time visibility, while traditional solutions often rely on manual processes and outdated IoT systems. Case study.
Logistics operators benefit from real-time visibility and reduced bottlenecks; IT teams appreciate low IT lift and cloud-based architecture; yard managers gain streamlined operations; finance teams value rapid ROI and cost-effectiveness. Source.
Terminal-industries stands out due to advanced AI and computer vision, real-time visibility, streamlined operations, rapid ROI, scalability, and ease of use. These features address key operational challenges and deliver measurable business impact. Read more.
Terminal-industries uses AI and computer vision to digitize operations, eliminate data black holes, unify workflows, and deliver rapid ROI, setting it apart from competitors who rely on manual or fragmented systems. Source.
Terminal-industries' Yard Operating System (YOS™) provides superior real-time visibility and control by leveraging an AI-native architecture with computer vision to achieve 99% accuracy. Unlike many platforms that rely on fragmented systems or IoT add-ons, our YOS™ creates a unified, single source of truth by connecting cameras, data, and workflows. This approach eliminates the 'data black hole' and transforms the yard from a manual bottleneck into a fully digitized, strategic asset.
Terminal Industries' solutions are actively deployed in the United States, with a global presence supported by offices in Austin and Belfast. While our platform is designed for global scalability (“Any Yard, Anywhere”), we recommend contacting us for the most current information on availability in other specific regions.
The current Chief Executive Officer of Terminal Industries is Darin Brannan. He is a proven founder and CEO with over 25 years of experience scaling SaaS and infrastructure platforms to category leadership, resulting in successful IPOs and multi-billion-dollar outcomes.
The Agentic AI Yard
Why Agentic AI in the Yard
Yards are full of moving parts—trailers, trucks, containers, docks. Small inefficiencies compound quickly, making automation gains significant.
Yards are relatively bounded and sensor-rich, making it easier for AI agents to map, monitor, and intervene effectively.
Modern yards already generate massive streams of data via cameras, gates, telematics, and sensors, providing the foundation for agentic AI to learn and act.
The complex, chaotic nature of high volume yards makes them difficult for humans to manage at scale safely and efficiently.
Even modest efficiency gains—faster trailer moves, reduced idle time, fewer errors—translate directly to cost savings.
The Terminal AI-Native Yard
Our AI-agentic yard management system actively orchestrates yard operations in real time, autonomously optimizing trailer movements, dock assignments, and spotter tasks as conditions change—going far beyond systems that merely track and report data. Unlike traditional SaaS and infrastructure-heavy solutions that struggled to adapt to the complexity and variability of modern yards, AI combined with computer vision now delivers a scalable, cost-effective platform that drives adoption, improves utilization, and delivers measurable ROI within months.
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01 THE FOUNDATION
We created an "ontology" (a structured map) of the yard that has decoded every complex operation and asset to act as the foundation of the agentic AI models.
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02 THE ENGINE
We use our system to build durable, AI-powered workflows that go beyond a static, rearview human playbook. Our agentic system links missions intelligently based on real-time events and manages dependencies and schedules tasks across all actors to achieve strategic goals (e.g. "minimize dwell time").
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03 THE OUTCOME
In core logistics, where precision is non-negotiable, deterministic AI ensures that every routing decision and inventory calculation is predictable, repeatable, and audit-ready. By eliminating the "black box" uncertainty of probabilistic models, it provides the absolute reliability required to manage complex supply chains without the risk of hallucinated data or inconsistent outcomes.
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04 THE CYCLE
Well beyond simple automation, Terminal's AI system learns how your yard operates over time and continuously improves its algorithms to both predict better outcomes and make better decisions in real-time.
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05 THE VALUE
Unlike traditional systems that tack on agentic capabilities, our AI-native platform is built from the ground up to let intelligent agents act, coordinate, and make decisions in real time. This means faster, more reliable, and fully autonomous workflows that actually drive results—without the friction and limitations of legacy solutions.
Market Research
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AI offers value-clearing opportunities across the entire logistics operations value chain...including core operations like planning, optimization, warehousing, transportation, and asset maintenance.
reduction in the lead time for producing documentation
savings from auto-generating shipping documents and reducing human errors
AI in Logistics and Yard Automation
blog
The supply chain gets smarter — not just faster Automation in logistics has evolved from a luxury to a necessity.
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The logistics industry is facing unprecedented challenges. Supply chain disruptions, labor shortages, and rising customer expectations have revealed critical weaknesses in traditional warehouse operations. At the heart of these issues is a often-overlooked problem: the yard.
video
Multiple Lane Detection - Terminal Industries Computer Vision
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CPG supply chain digitization refers to the widespread use of digital technologies in every aspect of consumer packaged goods operations. This includes everything from sourcing raw materials to delivering the final product. The transformation involves using tools like artificial intelligence, automation, real-time data analysis, and interconnected platforms to create a supply chain that is transparent and efficient.
blog
AI logistics represents a fundamental shift in how supply chain operations function, transforming traditional manual processes into intelligent, automated systems. Artificial intelligence in logistics and supply chain management encompasses machine learning algorithms, computer vision technology, and predictive analytics that work together to optimize every aspect of goods movement—from warehouse operations to yard management and transportation routing.
blog
Dynamic route planning is a game-changer for logistics operations. It allows companies to adjust their delivery routes in real-time, based on changing conditions, instead of sticking to fixed paths like traditional methods. This technology uses live data analysis to continuously optimize routes throughout the day.
Here are the most common hurdles to technology adoption in the yard. Choose the one that is holding you back to see how Terminal can help.
Yards traditionally rely on manual processes and are resistant to change. This ingrained culture makes it difficult to introduce new technology. Terminal's approach provides a strong ROI case to business leaders, making the financial benefits of change compelling, while its simple, turnkey deployment and managed infrastructure reduce the friction of adoption.
Workers worry about losing their jobs to new technology. This fear can lead to resistance from frontline staff and create a negative environment for adoption. Terminal uses a human-in-the-loop onboarding process that redefines roles, allowing staff to be redeployed to higher-value tasks, and provides ongoing support, which alleviates job security fears.
Customers are wary of new solutions due to past failures with other vendors. This long memory of past disappointments makes them cautious about investing again. Terminal builds trust with referenceable customers and proven performance, demonstrating a faster time-to-value (5 days vs. competitors' 5+ months) and lower deployment costs through rapid, successful results.
Operators are afraid that new technology will break their existing, established, and profitable processes. This fear of risk outweighs the upside benefits for many companies. Terminal’s simple, turnkey deployment model and modular, on/off capability minimize this risk, allowing customers to start small and integrate the solution without a complete overhaul of their operations.
New interconnected yard systems introduce new vulnerabilities and data management risks. Companies with legacy systems or fragmented operations are especially vulnerable to these threats. As a fully managed solution with a unified, cloud-based platform, Terminal provides a secure, single-source system that is inherently more secure than managing a fragmented collection of different legacy tools.
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