How is AR used in logistics and supply chain management?

Augmented reality (AR) is used in logistics and supply chain management to enhance visibility, accuracy, and efficiency across operations. It overlays digital information—such as navigation cues, inventory data, or instructions—onto physical environments through devices like smart glasses, tablets, or smartphones. Developers integrate AR with existing systems like warehouse management software (WMS) or IoT sensors to create real-time, context-aware solutions for tasks like order picking, maintenance, and route optimization.

One key application is warehouse operations. AR-guided picking systems project visual cues onto workers’ smart glasses or mobile devices, directing them to item locations and displaying quantities. For example, DHL’s “Vision Picking” program uses AR glasses to reduce errors by 40% and speed up order fulfillment. Developers build these systems by connecting AR devices to inventory databases via APIs, using spatial mapping (like SLAM algorithms) to track movement, and rendering dynamic overlays. This minimizes manual scanning and reduces training time, as workers follow step-by-step visual instructions instead of relying on paper lists.

Another use case is equipment maintenance and training. AR apps overlay repair instructions or diagnostic data onto machinery, helping technicians identify issues faster. For instance, Boeing uses AR to guide technicians through complex wiring setups, cutting production time by 25%. Developers create these tools by integrating 3D models of equipment with IoT sensor data (like temperature or vibration readings) and rendering annotations in real time. Similarly, AR-based training simulations allow new employees to practice tasks in a virtual environment, reducing onboarding costs. Tools like Unity or Unreal Engine are often used to build interactive 3D scenarios linked to real-world workflows.

Finally, AR improves transportation and last-mile delivery. Drivers use AR navigation systems that overlay optimal routes onto windshields or mobile screens, factoring in traffic or weather data. Companies like UPS test AR headsets that highlight delivery addresses and package details, reducing time spent searching for locations. For end customers, AR apps let users visualize where a package will be placed (e.g., “see” a sofa in their living room before delivery). Developers implement these features by combining GPS, computer vision (for object recognition), and cloud APIs to sync real-time data. This reduces failed deliveries and improves customer satisfaction through clearer communication.