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New Amazon supply chain solutions include agentic AI, smart glasses

Amazon smart delivery glasses
Amazon is providing VR-equipped glasses to delivery associates.

Amazon is leveraging four new leading-edge artificial intelligence- and virtual reality-enabled tools to streamline fulfillment and delivery workflows.

The online giant has recently rolled out four back-end solutions featuring next-gen technology: AI- and VR-enabled smart glasses for delivery drivers, a picking and stowing robot, an agentic model for managing fulfillment centers, and a VR-equipped driver training simulator.

Following are overviews of each solution:

Smart delivery glasses for delivery drivers

Amazon is developing wearable smart glasses technology designed to serve as a driver’s companion throughout the delivery process. The smart glasses display essential information directly in the driver's field of vision, enabling them to scan packages, follow turn-by-turn walking directions, and capture proof of delivery without needing to utilize a smartphone.

Designed with input from hundreds of Amazon delivery associates, the system is intended to enhance safety by keeping drivers' eyes forward while making deliveries more seamless. The glasses also leverage AI and computer vision to detect potential hazards like pets or uneven walkways and share that information for reference in future deliveries.

Blue Jay

Amazon’s Blue Jay is a next-generation robotics system that coordinates multiple arms to perform picking, stowing and consolidating tasks simultaneously. This technology is designed to combine three assembly lines into one with the goal of creating greater efficiency in less space while supporting front-line employees.

[READ MORE: Amazon hits major robot milestone; launches new robotics AI model]

Currently being tested in South Carolina, Blue Jay allows employees to shift from repetitive physical tasks like stowing items to higher-value work like quality control and problem-solving, making jobs less physically demanding while providing better customer service.

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Amazon virtual reality driver training
Amazon drivers using the iLMDA driving simulator.

Project Eluna

Project Eluna is an agentic AI model that processes real-time and historical data from across Amazon supply chain facilities, providing insights in natural language intended to help operations teams make better decisions by enabling them to anticipate bottlenecks and chart efficient paths forward instead of scanning dozens of dashboards. 

Currently being deployed at a Tennessee fulfillment center for the Amazon holiday shopping season, Project Eluna will optimize sortation and eventually support preventive safety measures, helping plan ergonomic employee rotations and improve maintenance schedules. 

Intergated Last Mile Driver Academies (iLMDA).

Amazon is offering immersive virtual reality models developed to prepare drivers for real-world challenges before they perform "real world" driving. More than 300,000 drivers have completed the VR training since 2022. Based on feedback so far, Amazon projects iLMDA to grow to more than 95 delivery stations across North America by December 2026.

The newest iLMDA program is the Enhanced Vehicle Operation Learning Virtual Experience (EVOLVE), a driving simulator that recently launched in Colorado, Maryland, and Florida facilities. The simulator provides immediate feedback on performance to learners and prompts hands-on critical defensive driving skills development in a standardized virtual environment. 

More than 6,000 newly onboarded drivers have participated in EVOLVE, with a behind-the-wheel participation rate over 90%. Amazon anticipates 40 iLMDA sites will offer EVOLVE training by the end of 2026.

"At Amazon, innovation isn't just about technology—it's about creating meaningful impact for customers, employees, communities, and the planet," Tyler Greenawalt, senior writer, About Amazon, said in a corporate blog post. "The company's latest advancements showcase how technology works together with our employees to solve complex challenges, from delivery speed to food insecurity to sustainable AI."

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