Conveyor failures rarely begin with a breakdown.
They develop quietly - through friction, misalignment, bearing wear, and electrical stress - long before alarms fire or operations stop.
In most facilities, these early signals go undetected until they show up as:
By the time a problem is visible, the impact is already underway.
In this session, we’ll break down how conveyor degradation develops across high-throughput environments - and why traditional monitoring approaches consistently detect issues too late.
This session will be led by Luke (Director of Reliability & Maintenance Programs) and Sean Allen (Director of Product Management) - both former Amazon reliability leaders who have operated and scaled maintenance and reliability programs across large, automation-heavy networks.
Drawing on real-world experience across hundreds of sites, they’ll explore not just how failures develop - but why they’re often missed, including the operational, engineering, and program-level factors that contribute to late detection.
This session is designed for leaders responsible for uptime, throughput, and reliability in automation-heavy environments:
Former Amazon reliability leader responsible for scaling maintenance and reliability programs across large, high-throughput operations. Leads global implementations of early detection strategies across automation-heavy environments.
Former Amazon Global MHE Reliability Manager, responsible for reliability strategy across 1,200+ sites and ~900,000 assets.
Now leads product strategy at MultiSensor AI, translating real-world failure patterns into scalable detection frameworks.