Designing a data strategy for After Sales.

Data as a strategic lever in After Sales.
After Sales is a key business area for automotive manufacturers, enabling long-term customer loyalty and high value creation. Targeted use of data holds immense potential to optimize processes, increase customer satisfaction, and significantly enhance economic contribution. The goal was to develop a dedicated data strategy that supports Porsche After Sales’ long-term business strategy.

From potential to implementation.
The project began with an evaluation of how the goals of the After Sales business strategy could be supported through increased use of data, analytics, and AI. From this, concrete and measurable objectives were derived – always with the focus on how they contribute to achieving overarching business goals. For each objective, specific use cases were defined and assessed in terms of feasibility. The resulting action needs were consolidated, translated into concrete measures, and transferred into a detailed implementation roadmap. In parallel, the use cases were prioritized based on business value and described both technically and functionally in detail.

Scalable data strategy with direct business impact.
Definition of clear strategic goals for the effective use of data and AI
Identification and prioritization of high-impact, relevant use cases
Derivation of concrete measures for implementation
Development of a rollout plan to enable step-by-step introduction
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