This paper presents research in progress and describes the concept and prototype of the so called "Product Experience Wall", an interactive and context-adaptive outfit recommendation system for retail fashion stores. The goal is to design an experiential system that serves both, functional and hedonic needs. Context adaption allows pro-actively approaching the user and recommending products based on the respective user context. Next to face detection algorithms, we use RFID sensors and

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... s to external data sources (e.g., weather information) to create a unique customer experience. This experience is furthermore supported by displaying product combinations on virtual, life-size avatars. The core functionality of the concept is based on the findings of qualitative interviews performed amongst 6 experts and 80 customers.