Managing Director & Partner
Andrej Levin leads Boston Consulting Group’s work in big data and analytics in automotive. He joined the firm in 2011, and in 2015-2016 worked as an Ambassador in the Atlanta office.
Andrej is a core member of the Industrial Goods and Automotive practices. He works with global OEMs and OESs to define and execute sales, growth, and sourcing strategies, and build new mobility offerings.
Prior to joining BCG, Andrej was an assistant professor at the University of Siegen, and also worked at several international law offices in Germany and the US.
The transition poses hurdles for automotive dealerships and original equipment manufacturers (OEMs). Preparing now is crucial for success.
Powerful footfall data can provide visibility into dealership performance for automotive OEMs and large dealership groups—if you know how to look at it right.
OEMs have harnessed AI’s power under the hood. Now they must apply it in sales. Seven best practices help automakers scale AI across the organization.
Advanced analytics (AA) is a powerful tool for automotive OEMs and dealer groups to boost sales and improve operating margins. However, few players are leveraging AA to its fullest. Based on our study of more than 200 AA use cases within the auto industry, we have identified the use cases and key enablers that allow OEMs and dealer groups to overcome the obstacles and transform into bionic organizations that successfully merge AA and human capabilities.
In recent years, the industry has dabbled in artificial intelligence applications, with disappointing results. But as companies look to the postpandemic future, AI’s time has arrived.