Friday, 05 December 2014 00:00

GM Presents Technical Training at LIABRA's November Meeting in NY

On Tuesday, November 18, the Long Island Auto Body Repairmen’s Association (LIABRA) held their monthly member meeting at 7:30PM at the Melville Marriott. At the meeting, shop owners and technicians received free technical training from General Motors (GM) who, along with Eagle Auto Mall, co-sponsored the event.

Ed Kizenberger, Executive Director of LIABRA, states, “GM provided training on new technology for 2015, giving shop owners and technicians a chance to see this upcoming year’s technology and to plan ahead for training and equipment needs in order to be prepared for what’s coming.”

GM’s presentation was given by Jim Mickle, GM Wholesale Parts Manager, and Jonathan Shaver of OE Connection also participated in the meeting, helping attendees understand the benefits of using their system. Over 160 individuals were present at LIABRA’s November meeting, and Kizenberger says the information was well-received and that he has received a lot of positive feedback from attendees.

LIABRA recognizes the value of providing this type of educational training to members because “knowledge is power.”

Kizenberger says, “it’s difficult for shop owners to be able to afford training for their people; it requires outside assistance, and that’s what we’re here for. LIABRA is big enough to attract beneficial training for our members, but it also benefits our hosts and sponsors. For example, at this meeting, our members learned how GM cars should be repaired which is also good for GM since they want to ensure that their vehicles are being repaired properly and safely.”

Although LIABRA will not hold a meeting December, they will continue their educational seminar program in January with a meeting on Competition Imports with BMW/Mercedes-Benz.

In the near future, Kizenberger also hopes to hold meeting on airbags, structural components and electrical systems, plus he plans to incorporate estimating components in order to teach people about the new predictive estimating approach.

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