How AI can Impact Automotive Industry

CIO Applications| Tuesday, August 03, 2021

New automobiles are both digital and mechanical.

FREMONT, CA: After Henry Ford pioneered the production line, automobile manufacturers are pioneers within Industrial Revolution. Mainly on the production floor today, it is typical to see robots working alongside autoworkers.

Machine learning, which enhances the production process and cars, is the most recent breakthrough in the sector. New automobiles are both digital and mechanical.

Improve factories

Auto machine learning has the potential to improve factory efficiency. Sensors in the robots and equipment used to create the cars give out signals when parts are problematic. It can assist the maker in repairing before the production line gets shut down or damage occurs.

Machine learning is also helping to improve manufacturing quality control. Workers given the work can make mistakes.Artificial intelligence (AI) systems can indeed overlook problems if not correctly configured. Machine learning, on the other hand, can help by gathering feedback and modifying the system.

Predict inventory demand

Automobiles are costly to manufacture, and inventory has a substantial impact on revenues. Automobile manufacturers may miss sales if demand for a vehicle exceeds expectations. On the other hand, if a car's demand is lower than expected, it may have to be sold at a loss.

Machine learning may be helpful to forecast demand by monitoring and analyzing market conditions.

Generate customer sales

Machine learning may assist automakers in increasing vehicle sales. It might gather information about a consumer, such as demographics, previous transactions, or online behaviors, and use that information to develop customized promotions.

Cars.com uses machine learning to help personalize the car search process. It pairs buyers with vehicles based on a questionnaire that assesses their lifestyle preferences.

Prevent problems

Maintenance becomes "predictive" using machine learning. Sensors can identify defects and forecast problems early, alerting drivers through the dashboards or smart cellphones, rather than relying on mileage or waiting unless a car breaks down. After that, drivers can arrange service at a time that is convenient for them.

That likely, recalls and roadside assistance will become obsolete as a result of predictive maintenance.

Communicate With Customers

They are improving Customer communication via machine learning.

If a car requires service, an automatic chatbot can schedule appointments, confirm them, and send reminders. After a service, chatbots can complete questionnaires to help auto manufacturers and dealerships customize service. Companies also can respond to customer inquiries.