Warehouse automation can increase throughput while quietly creating a new failure point: maintenance that has not kept pace. When critical assets fail, the consequence is not an engineering inconvenience. It is downtime, lost service and interrupted revenue.
Asim Akram, CEO of MultiSensor AI, recently joined the Resilient Supply Chain podcast to discuss what happens when conveyors, motors, chillers and electrical systems become more digitized while inspection and maintenance remain periodic and manual — a mismatch that matters directly to supply chain resilience and business continuity.
He and host Tom Raftery also examine why degradation happens gradually while failure can arrive in one shot, why more automation can increase operational dependency, and why AI-based detection still achieves nothing if teams do not trust the signal enough to act. They also challenge the idea that maintenance is simply a cost centre rather than part of protecting throughput, service and the top line.
Watch the episode here: https://www.youtube.com/watch?v=9ycxs6S-anU
Or listen at the Resilient Supply Chain podcast homepage: https://www.resilientsupplychainpodcast.com/354320/episodes/19664187-the-hidden-resilience-risk-inside-your-automated-warehouse
Book a working session with one of our condition-based monitoring experts, and we’ll review your assets, assess your maintenance maturity, and show how multi-sensor monitoring catches issues hours, days, or weeks earlier than manual rounds - giving you a clear path to fast, measurable ROI.