Designed AI-assisted discovery flows for a German furniture platform — contextual search, image recognition, and price comparison in one place.
Interior Trends is an AI-powered furniture and decor discovery platform for the German market. The challenge: help users find products they love across fragmented catalogs from multiple retailers, using natural language and image-based search.
As co-founder and lead designer, I own the product and marketing tracks. I led the design of all AI-assisted discovery features — contextual search, image recognition upload, and cross-retailer price comparison — spending no more than 5 hours per week.
Session time increased by 62% after launching the AI discovery flow. 35% of active users adopted at least one AI feature within the first month. The platform is used as a proof point for AI product design capability.
The full case study with design process, AI interaction patterns, and outcome analysis is available on request.
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