In 2024, operating in the automotive market has become increasingly difficult. Global and local supply chain disruptions, product quality issues, and ongoing talent shortages are some of the greatest challenges automotive businesses face globally.

The majority of automotive companies already actively utilize automotive enterprise resource planning (ERP) systems to centralize and manage their key operations, including supply chain, production management, and quality control. However, by equipping their ERP with tailored AI algorithms, automotive companies can achieve advanced automation and analytics capabilities to help them better address emerging business challenges.

This article explores four ERP workflows that AI algorithms can enhance, bringing more business value to an automotive business.

More precise demand forecasting

Supply disruptions of critical components, such as auto parts or microchips, can cause production delays, negatively affecting automotive companies’ sales and revenue.

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