Artificial Intelligence (AI) is rapidly transforming the automotive aftermarket, reshaping how companies design, manufacture, market and service products. From predictive maintenance to virtual fitment tools and intelligent inventory systems, AI is already streamlining operations and enhancing customer experiences.
According to McKinsey, AI adoption in the automotive sector is expected to grow by more than 25% annually, with applications ranging from product development to supply chain automation. In the aftermarket specifically, companies are leveraging AI to optimize fitment accuracy, reduce returns and personalize customer engagement.
For example, AI-powered data-cleaning tools now help parts manufacturers convert complex datasets into standardized formats like the ACES and PIES systems—cutting manual processing time and increasing catalog accuracy. Similarly, machine learning models are being used to forecast part demand with greater precision, helping to stabilize supply chains.
The emergence of generative AI is also fueling marketing, content creation and even engineering ideation. Engineers and developers are using AI to prototype faster, simulate product performance, and generate technical documentation in a fraction of the time it once took.
To stay competitive, aftermarket companies must embrace AI by:
- Upskilling their teams in digital tools and data literacy
- Investing in AI-enabled platforms for operations and product development
- Partnering with technology providers who understand the unique needs of the automotive space
AI is no longer the future, it’s now. For engineers, product developers and business leaders, adapting to this shift isn’t just smart, it’s essential.