FedEx MOBIUS Predictive Maintenance and AI Robotics Network-Wide

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FedEx MOBIUS Predictive Maintenance and AI Robotics Network-Wide

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FedEx plans to further scale its use of AI over the next several years to power physical assets like RFID sensors and robotic systems, aiming to boost network reliability and shipper connectivity. AI and data analytics are already embedded in various FedEx operations including forecasting, routing and capacity management. Every day, FedEx plans and optimizes 100,000 first-mile and last-mile transportation routes via AI according to Bala Vaidyanathan, VP and lead for data and AI at FedEx. The company also uses AI to balance its middle-mile network to ensure airplanes and trucks travel as full as possible. By 2028, FedEx plans to have AI integrated into more than 50% of its core operational workflows. FedEx is advancing toward its integration goal through Network 2.0, bringing day-definite volume from FedEx Ground and time-definite volume from FedEx Express into the same network. FedEx is testing RFID sensors on select customers packages and plans to scale deployment to improve the flow of information between shippers supply chains and the carrier operations. Separate sensors used in FedEx sortation operations combined with AI models help enable predictive maintenance, identifying issues in package sortation systems that need to be fixed before a failure occurs and slows down the network. The platform allows FedEx to organize information generated in its processes to help employees solve operational issues or gain a better understanding of the company network.

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