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Based on the conducted research, the onboarding flow was redesigned.

One of the crucial aspects of such applications is user engagement, which was addressed through streaks, challenges, achievements, rewards, and other motivational elements.

Essembl AI - an in-app assistant that helps users put together outfits from their wardrobe, evaluate looks and individual items, assist with purchasing decisions, and provide additional styling support.

One of the many features we added to Essembl was the ability to upload a photo or video, allowing the app to automatically recognize the item and generate a high quality AI image of it. The item could then be instantly added to the user's wardrobe. The key objective was to make these screens as clear and accessible as possible, ensuring the entire flow felt simple and effortless rather than complex or technical.

These screens showcase a trip based wardrobe creation flow. The user selects a destination and travel dates, then chooses must bring items from their existing wardrobe. Based on the location, duration, weather, and selected pieces, the app automatically generates a dedicated travel wardrobe with curated outfits and suggestions. The flow is designed to be simple, clear, and efficient, minimizing effort while keeping the experience intuitive and engaging.

After extensive testing, multiple iterations, feature explorations, redesigns, and ongoing analysis, the product has reached over 1.5 million downloads and more than 750,000 active users to date.