NEXT MEETUP: AI-Service & Warranty Lifecycle Management Think Tank (AI-SWLM)
Join us on September 10th for the latest AI-SWLM Think Tank session, where we introduce our 4th & 5th AI Use Case Roadmaps.
We’ll present our next 2 turn-key AI use cases developed through collaborative industry insights at MAPconnected’s recent spring club study in Nashville where participants examined five AI-driven concepts, identified key success factors, anticipated early challenges, and established actionable steps to advance these ideas into operational Generative AI solutions—from ideation to Proof of Concept (PoC) projects.
🔍Presentation #1: AI Early Warning Scout – Detect Early. Act Faster. Fail Never
James Kiriazes, Director Customer Quality Engineering – Bridgestone Americas | Petchiraj Piramuthu, Head of Data & AI – Tavant
Warranty & Quality teams currently rely on manual weekly and monthly reviews of technician notes, customer calls, and IoT data to identify keyword trends—an approach that’s reactive and slow to surface emerging failure patterns. This delay impacts recall decisions, inflates warranty reserves, and puts brand reputation at risk.
The AI Early Warning Scout roadmap introduces a smarter, faster solution that delivers:
- Over 95% visibility into emerging issues
- Up to 5% reduction in warranty spend and 25% decrease in recall exposure
- More than 30% reduction in root cause analysis and corrective action timelines
- Accelerated feedback loop to R&D—within 48 hours
- First-time fix rates exceeding 85%
- Proactive customer outreach to prevent escalation
🔍Presentation #2: AI-Driven Digital Signature Solutions for 12V Battery Failure Detection and Analysis
Tim Velasquez, Warranty Field Operations Manager – Toyota North America | Craig Hissong, Senior Director – Upstream Security
As vehicle complexity and customization increase, so do the challenges of managing warranty claims—especially with slow, reactive processes that lack data-driven prioritization. Manufacturers often struggle to pinpoint root causes and assess issues by severity, cost, and scale, leading to inefficiencies and missed opportunities for early intervention.
This presentation highlights Upstream’s AI-powered approach to detecting and analyzing 12V battery failures, with scalable potential across other vehicle components and failure modes.
Key benefits include:
- 3–5% reduction in warranty costs through predictive analytics and automation
- Accelerated root cause analysis and triage powered by AI and GenAI
- Intelligent prioritization of field quality issues by impact and urgency
- Enhanced customer satisfaction through proactive, insight-driven actions
🎤 Speakers: Bridgestone Americas | Toyota North America | Tavant | Upstream Security
💡 Who Should Attend: Warranty Lifecycle Professionals, Claims Analysts, Service Managers, AI & Tech Professionals
📍 Location: Virtual (Webinar link provided upon registration)
🚀 Who’s ready to step up and engage with a Proof of Concept (POC)? The future of AI-driven warranty and service solutions starts now! Stay tuned for groundbreaking releases and virtual events for the remaining five (5) featured AI projects:
- Tavant Early Warning Scout
- @SD-IZE From Idea to Impact: AI in Warranty Claims Processing
- SAS Smarter Maintenance and Claims Management with Generative AI
- Circuitry.ai AI-Powered Claims Assistance For Technical & Dealer Contact Centers
- Upstream Security Building Digital Signature For 12V Battery Failures
Speakers
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