Rudy Lai

Artificial Intelligence in Logistics Companies

We analyzed the enterprise AI use cases of 10 logistics companies to understand trends, impact, and insights.

Logistics companies' adoption of AI

Quarterly AI use cases in Logistics
AI use cases in Logistics by traditional/generative/agentic

Overview

CSX

CSX has progressively adopted AI technologies since 2016, starting with IoT-enabled machine learning to analyze train delays and evolving towards advanced AI solutions integrated into operations by 2025.

UPS

UPS has steadily expanded AI integration from customer-facing chatbots (2018) to advanced autonomous automation and robotics by 2025, resulting in substantial operational cost savings and workforce restructuring.

FedEx

FedEx has progressively scaled AI adoption from using AI-powered sorting robots introduced in Q1 2022 to advanced AI-driven logistics monitoring and robotic sortation arms deployed across multiple hubs worldwide by 2025, improving operational efficiency and customer experience.

Union Pacific

Union Pacific has progressively integrated AI and machine learning since 2013, starting with Industrial Internet technologies to improve operations and safety, and by 2025, employing advanced predictive and autonomous systems to enhance operational efficiency and decision-making, reflected in a 58.1% operating ratio and $1.9 billion net income in Q2 2025.

JB Hunt

J.B. Hunt has progressively integrated AI and machine learning into its logistics and transportation operations, starting with partnerships like project44 in 2018 and evolving to a strategic multi-year alliance with Google Cloud in 2021, focusing on real-time data visibility, predictive analytics, and load matching.

XPO Logistics

XPO Logistics has progressively integrated AI technologies from 2018 to 2025, evolving from deploying 5,000 autonomous 'smart robots' for warehouse operations and real-time LTL route optimization to advanced AI-driven platforms like XPO Connect and LTL 2.0, resulting in substantial operational efficiencies and cost reductions.

Ryder

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.

Old Dominion

Old Dominion University (ODU) has shown increasing and evolving AI adoption from 2023 to late 2025, progressing from AI research contributions in the medical and engineering fields to launching its own AI platforms and incubators.

Schneider

Schneider Electric has progressively integrated AI across its operations from 2023 to 2025, moving from initial AI adoption to launching a multi-year agentic AI-native initiative focused on sustainability, energy management, and supply chain resilience, backed by strategic partnerships with NVIDIA and major investments exceeding $700 million.

Delta Air Lines

Delta Air Lines has progressively integrated AI into multiple facets of its operations since early adoption of predictive maintenance in 2003, advancing to AI-driven dynamic pricing and enhanced customer and employee experiences by 2025.

55 Use Cases in Logistics

CompanyUse Case
Old Dominion
Research Incubation
ODU partnered with Google Public Sector to launch MonarchSphere, an AI incubator that accelerates AI research, encourages innovation, and powers smart campus initiatives by leveraging Google Cloud technology.
agentic
FedEx
Customer Support
FedEx deployed AI chatbots as virtual assistants on its website to support customers with shipment queries, though initial feedback highlights challenges in customer satisfaction with AI-driven chat interactions.
traditional
Ryder
Conversational Assistant
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.
generative
XPO Logistics
Operational Forecasting
Using predictive analytics, XPO anticipates operational bottlenecks and demand fluctuations to proactively manage logistics flow and reduce risks.
traditional
UPS
Workforce Automation
UPS uses AI-driven automation to shift package processing to automated hubs, enabling significant workforce reduction and labor cost savings while maintaining service levels.
agentic
FedEx
Document Automation
FedEx introduced AI tools in the Asia-Pacific region to simplify and automate the generation and validation of international shipping documents, improving customs code accuracy and reducing shipment delays.
generative
JB Hunt
Risk Identification
AI technologies are deployed across J.B. Hunt's truck fleet to continuously monitor and identify potential safety risks both inside and outside the vehicle, improving operational safety and reducing incidents.
traditional
JB Hunt
Driver Training
J.B. Hunt utilizes AI-driven virtual reality simulations and advanced assessment tools to enhance driver skills and safety awareness, supplementing traditional driver training programs.
generative
Delta Air Lines
Dynamic Pricing
Delta uses AI algorithms and foundation models to dynamically adjust airfares based on real-time market demand, customer browsing behaviors, purchase history, and credit information to optimize revenue and unit profitability.
generative
Union Pacific
AI Chat Support
Development and use of an AI chat tool (similar to ChatGPT) to provide employees timely data analysis and operational support, improving service levels and workforce efficiency.
generative
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