Leveraging Social Data to Mitigate Risk and Lower Recall/Warranty Costs

Leveraging Social Data to Mitigate Risk and Lower Recall/Warranty Costs

When:  Sep 22, 2022 from 12:00 to 13:00 (ET)
Associated with  Detroit

Leveraging Social Data to Mitigate Risk and Lower Recall/Warranty Costs
Thursday, September 22
12:00 - 1:00 p.m. ET
(Complimentary Virtual Event)

The sooner you are aware of a vehicle quality issue, the more money you save on warranty and recall expenses by capping the scale of the problem. Join the presentation and discussion to learn new ways for garnering early vehicle quality feedback.

Industry stakeholders are harnessing and distilling millions and millions of weekly social posts and enhanced government data to identify quality "needles in the haystack" on their applicable vehicles and vehicles systems. An organized industry data model curates the steam of data for:

  • Each and every in-market Make and Model (ICE and BEVs)
  • Vehicle Platforms (example, GM T1XX) and Market Segments (example, Large SUV)
  • 45+ vehicle systems
  • Engineering Failure and Noise-Vibration-Harshness (NVH) Characteristics
  • Positive/Negative Comment Sentiment

These new methods often yield problems not detected by black box and DTC codes such as leaky sunroofs, driver-side wind noise, safety camera blackout, crackling audio, loosening hardware, etc. The data can also be additive to black box data and DTC codes, often providing additional vehicle owner context to more accurately determine the issue.

Feedback is timely, actionable, and efficient. Social and government data is turned around daily as it is detected, with a unique ability to link to original social posts, extended discussion threads and an opportunity to reach end vehicle owners for feedback. Push notifications can be configured via the data model per user-defined categories to deliver relevant issues to user's inbox (Example: “Send me data on leaks of vehicle exteriors for GM and Toyota vehicles” or “Alert me of battery fires on any battery electric vehicle” or “Send me any Failure or NVH issue detected on my vehicle program”)

Example: Leveraging social data, a Top 10 global Tier One supplier detected a powertrain issue early in the launch of an OEM customer's vehicle program. The Tier One quickly identified comments from various forums and linked directly to the posts, interacting with end customers. The interaction led to identification of a product defect, which a team of engineers duplicated and swiftly addressed months before a likely costly recall.

Attendees have an opportunity to register for complimentary receipt of a Product Quality Bulletin (PQB) delivered for 30 days to your inbox based on your applicable vehicle(s) and vehicle system(s) from ongoing social and government data.

Moderator:
David E. Cole PhD, Chair Emeritus, Center for Automotive Research (CAR)

Presenters:
John Brennan, Vice President, Business Development, RXA, LLC
Gary Pilibosian, Managing Partner, Diag Partners

Important Note: You must register in advance to receive a personalized link.

For more information, email Roxanne Loeffler or call (248) 324-4445 ext. 3.

Location

Online Instructions:
Url: http://us02web.zoom.us/meeting/register/tZ0scu2rrD8qE9RgHmL-cbn7JFF-5EOibSTh
Login: Important Note: You must register in advance to receive a personalized link.

Contact

Roxanne Loeffler
248-324-4445 ext 3
roxanne.loeffler@sae-detroit.org