AI in the Automotive Industry
Fri, December 9, 2022

AI in the Automotive Industry

Robotic process automation could transform the entire automotive industry / Credits: LeoWolfert via Shutterstock


Industries are massively benefiting from the emergence of artificial intelligence. One of these industries is the automotive sector. It is predicted that it would significantly benefit from robotic process automation (RPA) by transforming various consumer and business applications. RPA could contribute to many areas in automotive manufacturing.

Today, many automotive companies have taken a number of initiatives with the help of AI. This includes projects to centrally connect a wide array of sensors to predict maintenance, uptime and other critical information using technologies such as NB-IoT; investments in collecting data centrally from their manufacturing operations and supply chains; advanced predictive technologies for supply chain risks based on supplier reported KPIs; asset tracking initiatives across the supply chain, and more. 

However, many automakers have still not taken meaningful steps towards integrated AI in their manufacturing operations. Some projects that exist are mostly in partnership with educational institutions and companies, offering products that are not customized for automotive applications. This is because many automotive manufacturers don’t usually take risks with new, unproven technologies.

Automotive manufacturers are also concerned with the lack of expertise in AI and limited resources to dedicate to this initiative; return on investment, which is not clear and potentially involves a protracted period; availability of non-AI based approaches with satisfactory results, and organizational and process challenges. This is where RPA comes in.

According to Automotive World, the world's leading independent automotive publishing and events company, RPA could transform the entire automotive industry. It could take over some or most of these processes to reduce resource costs. Also, it could make more data available from the shop floor for advanced and predictive analytics by integrating other existing technologies such as object character recognition (OCR), text mining, and natural language processing (NLP).

Thus, RPA is a great starting point for most automotive companies that are hesitant to deploy technologies. It could help in initiating the change in mindset that is required for future AI adoption in automotive environments.