Solving the Three Layers of Predictive Maintenance in Commercial Trades
Leila Rookstook, Senior Industry Advisor, and Evan Smith, Group Product Manager at ServiceTitan, join host Amanda Salvatore to unpack the transformation of the commercial trades from reactive maintenance to predictive service. Drawing from Leila’s four-generation trade legacy and Evan’s expertise in enterprise AI, the pair outlines how a central shared data foundation bridges sales and operations to prevent equipment failures before they happen. They break down the three structural layers of predictive service: serial-level equipment history, make/model statistical context, and physical IoT sensor connectivity. They also share how tools like Atlas empower technicians to deliver speed, precision, and proactive solutions in the field.
Join us as we discuss:Â
[6:22] The trades’ evolution from reactive to predictive service and what that looks like in practice
[13:27] How ServiceTitan is helping move the industry closer to predictive services through as shared data foundation
[19:45] Confronting existing data gaps that prevent contractors from utilizing true predictive analytics
[25:07] Why the future of the trades will focus on uptime as a service over repair
You can find this interview and many more by subscribing to Toolbox for the Trades on Apple Podcasts, on Spotify, or here.
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