Künstliche Intelligenz: BMW plant mit KI-basiertem Geschäftsmodell Milliardeneinsparungen

BMW plans to implement a KI-based business model that could generate billions in savings. Einkaufsvorstand Nicolai Martin, referred to internally as the "M," presented the company's OM 3.0 project at the FIZ (Forschungs- und Innovationszentrum) as the most crucial initiative in recent years. This stands for the latest phase of the major transformation to incorporate Artificial Intelligence (AI) and restructure the automaker for better performance.

The goal is to convert BMW into a "KI-orchestrated company" within the next two years. Margins and sales in the automotive industry have significantly declined in recent years, driven by challenges such as market pressure in China, trade disputes, and increased competition in Europe. BMW CEO Milan Nedeljkovic has launched a "Transformationsprogramm" for the entire group, emphasizing the need to integrate AI more deeply into the company's structure to generate cost savings.

The plan involves three stages: first, AI assists employees in specific tasks such as analysis or bidding; second, AI agents take over entire processes, accessing various data and systems to prepare complex decisions; and third, multiple agents collaborate across departmental boundaries, merging information on supply chains, capacities, and costs to identify concrete action points.

Currently, BMW is transitioning from OM 1.0 to OM 2.0, with the third stage expected to follow by 2028. Accenture partner Vanessa Cann advises companies undergoing similar transformations to "think much more from the top down" to enable quicker and more strategic action. KI is seen as a technology many companies are investing in, particularly in response to high cost pressures.

For BMW, the "agentization" of procurement is a major project, with four new employees dedicated to this task. The company has already built a "Logic Hub," a shared data repository that integrates global, corporate, and procurement knowledge and creates a business context for procurement employees' queries.