Starting situation
Every day, large amounts of vehicle and order data are generated at Mercedes-Benz. At the same time, the demand to address customers more individually and to specifically leverage additional potential in the sales process is growing.
Within the scope of „Next Best Function,“ a data-driven approach was therefore developed that recommends suitable optional equipment based on existing vehicle orders – similar to the principle of „Customers who bought this also bought.“ The goal was to make sales processes more intelligent and to leverage high-margin upselling potential even before vehicle production.
Challenges
Process large amounts of data efficiently
Order and vehicle data had to be consistently processed and analyzed from various systems.
Integrate AI recommendations meaningfully
The AI's suggestions had to be technically comprehensible and verifiable.
Connect cloud and on-premise systems
Secure integration between internal customer systems and cloud environments.
Coordinate markets and requirements.
Different market requirements had to be translated into features and processes.
Ensure quality and stability
High demands on test management, automation, and platform performance.
Analyze large datasets efficiently
Recommendations also had to be efficiently calculated for large quantities of vehicle orders.
Solution
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