AI in the Automotive Industry

The use of new technologies can greatly benefit a sector or company by improving efficiencies and removing repetitive tasks allowing employees to focus on important tasks. Artificial intelligence has been grabbing the attention recently with the rise of ChatGPT and other artificial intelligence tools.

The automotive industry is going through a big change as the sector transitions from combustion engines to fully electric motor vehicles. Many manufacturers are looking to artificial intelligence to improve processes and to help improve customer experience with their brand. Here are a few ways artificial intelligence is changing the automotive industry.  

Manufacturing

Quality control is vital when manufacturing any product to ensure products delivered to customers are of the highest quality. Systems could use a camera to detect cracks in sheet metal that are not visible to the human eye. The system could also monitor factory conditions that contribute to the paint being too hot or cold. Introducing artificial intelligence as a quality control method can constantly the environment non-stop when compared to a human being.

Inventory

Building a vehicle is expensive and requires careful planning to get parts delivered on time. A mistimed delivery of parts could delay the date when a vehicle is delivered to its customers. The flipside is when a dealer has an excess stock of a vehicle that is not popular they might be sold at a loss. Machine learning can monitor and analyse market conditions to predict demands. From the information gathered, companies can predict which car will be more popular and predict car sales in different markets.

Customer Sales

Artificial intelligence can help companies sell more vehicles. Machine learning can collect data about a customer’s demographic, past transactions, and online activities. The information gathered can be used to serve personalised promotions or recommend vehicles to the customer based on their lifestyle.

Designing and Testing

Designing a rugged vehicle that can withstand a variety of different terrains and environmental challenges can be difficult. With so many variables to consider and understand, the design and testing phase lasts for a while delaying the production of the vehicle. Using artificial intelligence to create a digital twin can enable designers to test their concepts before building a prototype. Digital twin technology enables designers to test real-world scenarios in a cost-effective and space-virtual world. Designers can make changes digitally saving time to fabricate new parts.

 Avoid Collisions

 New vehicles come loaded with a variety of sensors to track distance, speed, and objects in the surrounding area. Machines can be used to improve driver safety and can take appropriate action if the car suddenly brakes or there is a flooded area en route to the final destination.