Return to All

Podcasts

Data-Driven Maintenance: The Holistic Strategy – Episode #13

UE Talks Podcast

Amazon’s journey in maintenance has evolved into a dynamic approach that leverages asset condition data to drive a comprehensive, holistic maintenance strategy. By utilizing advanced condition monitoring and data analytics, Luke Grice-Lowe explains how Amazon has transformed how it manages its assets, enabling proactive decision-making and optimized performance across its global operations.

This data-driven strategy not only enhances asset reliability and reduces downtime but also fosters continuous improvement, ensuring that Amazon stays ahead in a fast-paced, ever-changing environment.

Through this integrated approach, Amazon is building a future-ready maintenance framework that maximizes efficiency, minimizes costs and delivers long-term value.Amazon’s Reliability and Maintenance Engineering (RME) division maintains and repairs automated systems like conveyors and robotics critical to warehouse operations. The division includes roles in on-site maintenance, automation engineering, and data-driven reliability. RME drives innovation using robotics, AI and machine learning to improve efficiency and uptime. It plays a key role in supporting Amazon’s fast and reliable delivery network.