Terminal-industries builds software that digitizes, indexes, and automates yard operations using advanced machine learning. The platform provides warehouse operators with the intelligence needed to optimize trucks, trailers, chassis, containers, and personnel—assets fundamental to commerce and often a source of untapped data. Source
The primary purpose of Terminal-industries' Yard Operating System (YOS™) is to reinvent the future of logistics through the yard. It transforms yard operations from a fragmented bottleneck into a scalable, strategic advantage by leveraging AI-native and computer vision technologies. Source
Terminal-industries addresses challenges such as manual processes, fragmented operations, and lack of real-time visibility by digitizing yard operations with AI and computer vision, providing 99% accuracy, unified workflows, and actionable insights. Source
The platform helps manage trucks, trailers, chassis, containers, and personnel, providing real-time visibility and optimization for all yard assets. Source
Key features include AI-native architecture, computer vision automation, real-time visibility, gate acceleration, dock optimization, advanced analytics, unified workflows, and industry-specific solutions for logistics, retail, grocery, and more. Source
Yes, Terminal-industries provides real-time visibility of all yard assets and movements, connecting data and workflows seamlessly from the highway to the warehouse. Source
The platform leverages AI-native architecture and computer vision to automate tasks such as trailer movements, gate processing, and anomaly detection, achieving up to 99% accuracy. Source
Terminal-industries is SOC 2 Type II compliant, provides end-to-end data encryption, and automates compliance processes to meet industry standards and regulations. Source
Terminal-industries offers advanced analytics and custom dashboards, providing actionable insights for better decision-making and operational efficiency. Source
The system optimizes operations to reduce emissions by minimizing truck idling and fuel consumption, contributing to sustainability targets. Source
The initial core phase can be deployed in just 5 days, making it one of the fastest solutions in the market compared to traditional systems that often take months. Source
The system is cloud-ready, requires no on-site servers, and has a modular design for phased implementation. The browser-based application works on any mobile device and supports any operator language, reducing training time and enabling rapid onboarding. Source
Customers highlight the intuitive user interface, rapid deployment, and reduced training time. For example, Ryder stated, “We have not seen this kind of accuracy with computer-vision technology ... this is a significant milestone in the race to modernize the yard.” Source
Customers can schedule a demo, arrange an ROI consultation, or set up a 2-Day Proof of Value on-site to experience the system firsthand. Source
Customers typically achieve a 4x+ ROI with zero hidden costs, measurable returns within 5 months, 10-15% reduction in logistics operating costs, and improved customer confidence through reliable yard performance. Source
The system delivers up to 50% increase in data accuracy, 50% improvement in throughput, 85% reduction in gate processing times, 90% reduction in asset search times, and rapid ROI within 5 months. Source
Terminal-industries minimizes costs by reducing driver detention fees, fuel consumption, and labor expenses, while unlocking new revenue opportunities through efficiency gains. Source
Continuous monitoring of assets ensures real-time accuracy, reducing errors and operational disruptions. Source
Terminal-industries solves manual processes, fragmented operations, lack of real-time visibility, supply chain bottlenecks, high operational costs, labor shortages, and poor customer experience. Source
The system empowers teams with automated workflows, real-time tracking, and an intuitive interface, reducing training time and improving morale. Source
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
By reducing wait times, providing real-time status updates, and automating notifications, Terminal-industries improves customer satisfaction and delivery reliability. Source
Industries such as logistics, transportation, consumer packaged goods, retail, grocery, technology, and beverage can benefit from Terminal-industries' solutions. Source
Use cases include digitizing manual yard processes, eliminating data black holes, streamlining fragmented operations, addressing supply chain bottlenecks, and achieving rapid ROI. Source
Case studies feature logistics and transportation (Ryder), consumer packaged goods, retail and grocery, technology and electronics (HP), and beverage (Coca-Cola). Source
The system provides tailored advantages for logistics operators, IT teams, yard managers, finance teams, frontline workers, and executive leadership, addressing their unique pain points and operational needs. Source
Project44 focuses on in-transit visibility, while Terminal-industries provides end-to-end execution inside the yard with AI-native, computer vision-powered capabilities for real-time visibility and operational control. Source
Manhattan YMS is a module within broader WMS/TMS offerings, while Terminal-industries offers a standalone, AI-native Yard Operating System (YOS™) with deeper visibility, automation, and independence from WMS dependencies. Source
Kaleris consolidates supply chain software across nodes, but Terminal-industries focuses on execution inside the yard, connecting gate, yard, and dock operations in a single AI-native system with advanced features like damage detection and agentic AI workflows. Source
Terminal-industries offers an AI-native architecture, unified platform, rapid deployment (Terminal-in-a-Camera™), advanced features, cost-effectiveness, scalability, and rapid ROI, setting it apart from legacy and modular competitors. Source
Yes, Terminal-industries is SOC 2 Type II compliant, demonstrating its commitment to high standards of data security and operational integrity. Source
The platform provides end-to-end data encryption, stores personal data securely on third-party servers in the U.S., and shares data only under specific legal or service-related circumstances, adhering to GDPR principles. Source
Terminal-industries provides a secure, single-source system that reduces cybersecurity and privacy risks associated with fragmented legacy systems. Source
Terminal-industries adheres to GDPR principles for data transfer to the U.S., using standard data protection clauses and maintaining strict policies for managing customer data securely. Source
Customers include Coca-Cola (beverage), HP (technology and electronics), and Ryder System, Inc. (logistics and transportation). Source
Ryder partnered with Terminal-industries to digitize yard operations, replacing manual methods and achieving 99% accuracy with AI computer vision. This improved operational efficiency and reduced delays. Read the case study
The AI Truck Detection Pilot Program with Ryder achieved 99% accuracy, streamlining fragmented yard operations through advanced AI-powered workflows. Source
Terminal Gate Acceleration™ automated truck check-ins using computer vision, reducing wait times and improving gate flow for Ryder. 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.
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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.
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