The shipping giant, which already deploys artificial intelligence in software development and other areas, is now looking to drive AI agents further into operations, including network planning and business processes. By 2028, FedEx expects to have AI integrated into more than half of its core operational workflows. FedEx is currently focused on setting up the underlying data and management foundation to oversee its AI bots.
Though logistics providers like FedEx are aiming to adopt AI, they’re grappling with challenges like managing numerous, disconnected data sources. “Logistics can be very fragmented—especially if you think of a global organization with their network being everywhere, it makes it difficult to standardize,” said an industry consultant.
As its underlying tech is completed, FedEx expects to roll out AI and AI agents that connect macro and microeconomic trends to better plan its network. In marketing and campaign management, FedEx will create a hierarchy in which there’s a “manager agent,” an “audit agent” and a “worker agent.” The goal of the hierarchy is to ensure that the agents have a trail of accountability for their actions.
At the moment, FedEx’s enterprise data platform, called Atlas, supports more than 200 AI use cases across the supply chain, commercial teams and enterprise functions. It has already turned on AI agents in areas such as software development, where they are developing and testing code. In operations, agents are helping customers clear customs more quickly.
Plans for FedEx’s AI agents also involve getting its humans ready to interact with the technology. the company just launched an AI education program for 300,000 of its employees, as well as a more advanced version for its technology workers. Each employee received a customized training depending on their role. FedEx says it doesn’t plan for those agents to replace its workers.
Classroom discussion questions:
- Why is FedEx pushing for more AI agents?
- How will agents be used in operations?

Shipping costs have risen sharply in recent years. Major carriers such as FedEx and UPS have increased base rates annually while adding fuel surcharges, residential delivery fees, and dimensional pricing rules. As a result, retailers are increasingly shifting their focus from “fastest delivery” to “lowest cost delivery.”
Now AI and machine learning are playing a greater role in predictive analytics, helping companies anticipate delivery issues before they occur and proactively adjust. AI can design more efficient delivery routes, improve accuracy and the customer experience, and predict errors before they might happen, writes
Last week, all across the U.S. people enjoyed the dazzling displays of Independence Day. Fireworks are pyrotechnic marvels: the heart-stopping booms, the cascade of dazzling colors, the incredible finales.
“There wasn’t anybody on that property who thought we were going to open on time,” said Dick Evans, one of the park’s managers on opening day. “And opening on time was critical to the company. We were at that point in debt up to our eyeballs. We’d borrowed close to $400 million to build phase one of Walt Disney World. And within a week of the time that he came on the property, the entire perspective changed. The energy level changed. He came in there like a tornado.”






