Send me a message What if your supply chain could spot a breakdown before it happened? In this episode of The Resilient Supply Chain Podcast , I’m joined by Taylor Smith , Chief Marketing Officer at Honeywell Productivity Solutions and Services , and Elton Saunders , Senior Director of Solutions and Services at Peak Technologies . Together, we explore how AI, data, and proactive maintenance are transforming resilience, from the warehouse floor to the C-suite. You’ll hear how leading manufacturers are shifting from reactive firefighting to predictive prevention, using tools like Honeywell’s Operational Intelligence and Peak’s Mobile Insights to monitor device health in real time. We unpack the hidden risks of downtime and why something as simple as a worn-out battery can ripple across global operations. Taylor explains how design decisions, from battery-free scanners to circular repair programmes, are making equipment more sustainable and less wasteful. Elton shares how data-driven insights can extend device life, cut costs, and even pre-empt security threats before they hit production. You might be surprised to learn how AI is now being used to detect anomalies, forecast battery failure, and automate maintenance workflows, turning resilience into a competitive advantage, not just a cost line. Listen now to hear how Honeywell and Peak Technologies are redefining proactive maintenance, and why the future of resilient supply chains is predictive, not reactive. Podcast supporters I'd like to sincerely thank this podcast's generous Subscribers: Christian Sederberg Kristal Maharaj Alicia Farag Kieran Ognev And remember you too can become a Resilient Supply Chain+ subscriber - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one and give you access to the full back catalog of over 460 episodes. Podcast Sponsorship Opportunities: If you/your organisation is interested in sponsoring this podcast - I have several options available . Let's talk! Finally If you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn , or send me a text message using this link . If you liked this show, please don't forget to rate and/or review it . It makes a big difference to help new people discover it. Thanks for listening.
