Transforming online shopping with a GenAI stylist
Omoda, a premier Dutch fashion retailer with a legacy dating back to 1875, with 32 physical stores in the Benelux, was keen on redefining its digital shopping experience across its extensive European network. In an era where AI is fundamentally reshaping the retail landscape, moving beyond traditional product listings to provide true personalization has become urgent for businesses to succeed. That’s why Omoda teamed up with Rappit to launch the ‘AI Stylist’, a GenAI-powered shopping assistant built by leveraging Google Cloud’s advanced AI technologies. The stylist has transformed how customers interact with online fashion with a 2.5x increase in conversion rates.
Their challenges
- Evolving customer expectations: In a retail landscape rapidly reshaped by AI, customers increasingly demand a better shopping experience, forcing a necessary shift away from traditional, static product listings.
- Bridging the digital-physical divide: The core objective was to move beyond basic recommendation algorithms to create a truly immersive online shopping experience.
Omoda needed a technology partner with expertise in data engineering and AI to bring their visionary customer experience to life.
- Conversion and engagement: The constant challenge of improving commercial performance. By addressing the “inspiration gap” where customers visit to be inspired rather than just to buy a specific product. Omoda sought to improve conversion rates.
- Balancing automation with human connection: The integration of advanced AI needed to feel natural and conversational, enriching the customer journey without losing the human touch.
Our solutions
Scalable data foundation
Rappit engineered a robust data infrastructure on Google Cloud’s BigQuery, building scalable data pipelines from Omoda’s on-premise warehouse management
system to centralize marketing and logistics data for real-time, AI-driven processing.
Advanced AI deployment
Leveraging Google Cloud’s Gemini Pro model, enhanced by Vertex AI’s Multimodal Embeddings and Vector Search technologies, Rappit developed the ‘AI Stylist’ to understand specific customer needs and engage in natural language conversations.
Intelligent shopping experience
The solution moved beyond traditional recommendation algorithms by incorporating Intelligent Brand Matching, trend analysis, and purchase history to
curate complete, cohesive outfits, while laying the architectural groundwork for future innovations like Imagen 3 avatar visualization.
AI Stylist: Watch Omoda bring AI to life!
AI Recommender agents for retail
Increase conversion and average order value with AI-guided product discovery.
Production-ready recommender agents that embed directly into your commerce stack to drive measurable revenue from day one.
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