From lawns to auto parts: Exploring AI’s versatile role in everyday life and the automotive aftermarket

While visual identification and analyses by artificial intelligence is still in its infancy really, it holds a lot of promise for the automotive aftermarket.

As I was mowing my lawn the other day, I saw a suspicious-looking plant that looks a lot like poison ivy. I’m not skilled at plant identification, so I whip out my iPhone and point the camera to the plant. iPhone has a type of Ai called “Visual Look Up.” Visual Look Up can identify plants, pets, famous landmarks and all kinds of other stuff.

My phone quickly accesses information that tells me to not worry, it’s another plant. I’m not touching that thing anyway, but it gave me some sense of reassurance. (This is the same Ai that has told me our two cats are a mix of two different breeds one day, three breeds the next.) 

While this type of identification is still in its infancy really, it holds a lot of promise for the aftermarket:

•Parts Identification and Verification: AI can help in quickly identifying automotive parts and verifying their compatibility with specific vehicles. By simply taking a photo, users (whether professionals in a shop or DIY enthusiasts at home) could instantly get information about the part, such as its make, model and other specifications. This can streamline the process of finding and purchasing the right parts, reducing errors and returns.

•Damage Assessment: AI already is being used to assess vehicle damage. In the case of accidents or wear and tear, users could take photos of the damage, and the AI could analyze them to estimate the severity and suggest necessary repairs.

•Augmented reality for repairs: Integrating AI with augmented reality (AR) could guide users through complex repair processes. 

•Inventory management: AI could assist in inventory management by enabling quick scans of inventory using a smartphone camera. 

•Training and Support: AI can enhance training experiences by providing real-time information and feedback as trainees interact with different parts and systems within vehicles.

•Enhanced customer service: In a retail setting, AI could help customers find products in-store by identifying items through the camera and guiding them to where items are located. 

Wanting to know more about AI? It’s a topic of discussion at the 2024 Aftermarket Technology Conference hosted by MEMA Aftermarket Suppliers. 


For the latest news and information on the global automotive aftermarket industry, visit https://aftermarketintel.com. Do you have news? Contact Aftermarket Intel Editor Mark Phillips at mark@lpnewmedia.com. He’s on LinkedIn here.

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