Rudy Lai
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rudyl.aiAI market researchALPHA

AI @ Ryder

Fleet management and logistics
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • Ryder has progressively integrated AI technologies from experimentation with autonomous trucking studies in 2021 to operationalizing AI-driven yard management achieving 99% accuracy by Q3 2024.
  • In 2024 and into 2025, Ryder expanded AI use cases to include predictive analytics for logistics, supply chain optimization, and real-time visibility, further advancing towards a Center of Excellence for AI and applying generative AI solutions.
  • Key partnerships include collaborations with Georgia Tech and Aurora for autonomous trucking and maintenance, and Terminal Industries for AI-powered yard solutions, positioning Ryder as an innovator in logistics AI with significant operational efficiency and cost reduction impacts.

VIBE METER

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4 AI Use Cases at Ryder

Conversational Assistant
2025
Traditional
Generative
Agentic
Outcome
Ryder employed generative AI to develop a conversational Ops Assistant powered by HPE technology to support event staff during the 2025 Ryder Cup, improving information retrieval and operational responses. [1]
Demand Forecasting
2025
Traditional
Generative
Agentic
Outcome
Costs
Ryder leverages AI-driven predictive analytics and machine learning models to improve demand forecasting accuracy, optimize route planning, and mitigate supply chain disruptions for better efficiency. [1][2][3]
Yard Optimization
2024
Traditional
Generative
Agentic
Outcome
Costs
Using AI-powered computer vision, Ryder and Terminal Industries digitize yard operations to automate truck and trailer identification, achieving 99% accuracy and significantly improving operational efficiency. [1][2][3]
Autonomous Trucking
2021
Traditional
Generative
Agentic
Outcome
Costs
Ryder collaborates on research and pilots with industry partners like Georgia Tech and Aurora to assess and deploy autonomous trucking technologies, aiming to maximize fleet utilization and safety. [1][2]

Timeline

2025 Q4: no updates

2025 Q3

1 updates

HPE collaborated with Ryder to provide technology enabling an AI-enabled Ryder Cup event staff assistant, leveraging generative AI for conversational support.

2025 Q2

4 updates

Ryder emphasized predictive analytics and AI-driven risk modeling to forecast demand, optimize routes, and prevent disruptions, achieving improved cost-efficiency and supply chain resilience.

2025 Q1

3 updates

Ryder published insights on AI transforming supply chains by enhancing real-time visibility, inventory tracking, demand forecasting, and autonomous robotics integration, accelerating operational efficiency.

2024 Q4: no updates

2024 Q3

3 updates

Successful pilot with Terminal Industries deploying AI computer vision enabled Ryder to digitize yard operations with 99% accuracy in truck and trailer identification, significantly boosting yard operational efficiency.

2024 Q2

1 updates

Ryder convened technology leaders to create a Center of Excellence for AI to evaluate and prioritize AI initiatives across their operations.

2024 Q1: no updates

2023 Q4: no updates

2023 Q3

4 updates

Ryder established a Silicon Valley Technology Lab (Baton) focusing on AI-driven logistics innovations, including enhancing customer interactions and supply chain management via advanced AI and machine learning applications.

2023 Q2: no updates

2023 Q1: no updates

2022 Q4

1 updates

Ryder partnered with Aurora to pilot on-site fleet maintenance for autonomous trucks with embedded Ryder technicians to maximize autonomous fleet utilization.

2022 Q3: no updates

2022 Q2: no updates

2022 Q1: no updates

2021 Q4

1 updates

Ryder initiated AI exploration by collaborating with Georgia Tech on the first industry data-driven study to assess autonomous trucking impact.