The core principle — data-driven optimization of vendor selection — is applicable across industries. Wherever companies regularly choose between multiple service providers, suppliers, or platforms, a similar approach can be implemented.

The prerequisite is a sufficient data foundation of historical transactions. The more decisions are documented, the more precisely a model can identify patterns and derive recommendations. The automotive sector is particularly well-suited because data volumes are large and features are well-structured.