Webinar Overview
Join this webinar to learn how AI Agents turn telematics and equipment health data into action across both service and parts, so a developing failure becomes a scheduled service visit and a stocked part instead of an emergency call.
In this 30 minute session, see how manufacturers and dealer networks use AI driven failure prediction, automated dealer alerts, and predictive parts demand forecasting to cut downtime and capture the aftermarket revenue their machine data was signaling all along.
Register Now
Speakers
Gary Serbousek
Amrita Rout
Key Takeaways
The Machine Is Talking. Most Operations Aren't Listening
Equipment in the field streams telematics, fault codes, and utilization data every hour, but the signal rarely reaches a decision. We break down what unused machine data actually costs in unplanned downtime, reactive service, and missed parts and service revenue, and why acting on the data you already have returns more than collecting more of it.
From Equipment Health Signal to Scheduled Service
AI Agents read IoT signals, fault codes, and equipment health data to predict failures before they cause downtime, then trigger maintenance and alert the dealership with the likely fix, so a developing problem becomes a planned service visit instead of an emergency truck roll.
Telematics That Sells Parts Across the Dealer Network
Predictive parts demand forecasting reads equipment health and usage to put the right component at the right dealership before the customer knows they need it. We show how connected equipment data turns aftermarket parts and service from guesswork into a revenue engine for the dealer network.
Closing the Loop Across Service and Sales
Every machine outcome is data. We cover how feeding results back makes forecasting, maintenance, and dealer engagement smarter over time, and gives you a board ready ROI case built from downtime, predictive failure detection, parts fulfillment, and service revenue.
Who Should Attend
Service & Aftermarket Leaders
VPs of Service, Aftermarket Directors, and Service Operations leaders accountable for equipment uptime and service revenue at OEMs and dealer networks
Parts & Dealer Revenue Heads
Leaders responsible for parts demand planning, dealer parts sales, and aftermarket revenue growth
Digital, IoT & AI Executives
CIOs, CTOs, and Heads of Connected Equipment or Data evaluating production grade AI on telematics and IoT data
Predictive Equipment Health
AI flags the failure before the breakdown call
Automated Dealer Alerts
The right fix and parts pushed to the dealership
Predictive Parts Demand
The right part stocked before the customer asks
Ready to move from manual loan review to AI-enabled throughput?
See TOUCHLESS® in action and learn how AI automation can help your mortgage team reduce manual touches, improve consistency, and move loans from intake to decision faster — with full transparency at every step.
FAQs
This webinar explores how AI Agents turn telematics, fault codes, and equipment health data into proactive service and parts decisions. The session focuses on predicting failures, alerting the dealer network, and forecasting parts demand before downtime hits.
This webinar is designed for service and aftermarket leaders, parts and dealer revenue heads, and digital, IoT, or AI executives evaluating production grade AI for connected equipment and manufacturing service operations.
AI agents mine IoT signals and fault codes to predict failures before they cause downtime, then trigger maintenance and alert the dealership with the likely fix, turning a developing problem into a planned service visit.
The webinar covers outcomes such as less unplanned downtime, improved predictive failure detection, proactive parts fulfillment, higher service attach, and stronger aftermarket parts and service revenue.
Predictive parts demand forecasting reads equipment health and usage to put the right component at the right dealership before the customer knows they need it, turning telematics into an aftermarket revenue engine.
Maya is an AI-powered assistant that helps underwriters quickly navigate the loan file, ask plain-language questions, and surface relevant insights. Critically, every answer Maya provides is cited back to specific source documents in the file — so underwriters can verify her responses directly. In the webinar, attendees will see how Maya reduces time spent searching through documents while giving underwriters the transparency they need to trust what they’re seeing.
Yes. The session includes guidance on moving from pilot to production, including telematics data readiness, integration, and human in the loop design for deploying AI on connected equipment.
The webinar is a 30 minute session.
The webinar is scheduled for June 26, 2026 at 10 a.m. PT / 7 p.m. CET.