The AI Stylist Studio
Product
Within Snap’s ARES Shopping Suite, the AI Stylist Studio revolutionizes product discovery through a conversational AI experience. This innovative feature utilizes Gen AI to curate personalized suggestions, going beyond individual items to recommend complete outfits and curated collections tailored to user preferences.
Challenge
The core challenge was to create an engaging user experience that leverages the power of conversational AI while ensuring it remains helpful, not overwhelming. Striking a balance between offering a vast selection of options and preventing information overload was crucial to user satisfaction.
Role
Everyone in the design team spearheaded their own independent AI projects, and I led the UX and UI development of the AI Stylist Studio. This involved exploring design concepts independently while fostering collaboration with the design team through weekly syncs. Valuable peer feedback was incorporated, ensuring a user-centered and comprehensive design solution.
The AI Stylist Studio
Product
Within Snap’s ARES Shopping Suite, the AI Stylist Studio revolutionizes product discovery through a conversational AI experience. This innovative feature utilizes Gen AI to curate personalized suggestions, going beyond individual items to recommend complete outfits and curated collections tailored to user preferences.
Challenge
Role
Everyone in the design team spearheaded their own independent AI projects, and I led the UX and UI development of the AI Stylist Studio. This involved exploring design concepts independently while fostering collaboration with the design team through weekly syncs. Valuable peer feedback was incorporated, ensuring a user-centered and comprehensive design solution.
Defining Goals and Objectives
Our mission was to create a revolutionary shopping experience powered by AI. We aimed to understand user reactions to this novel approach and gauge its potential for success within the ARES Shopping Suite.
Research and Analysis
Snap employees served as our initial user base. We provided them with prototypes of the AI Stylist Studio and meticulously documented their feedback. This iterative process, fueled by user insights, allowed for continuous refinement until we arrived at the current iteration.
Defining Goals and Objectives
Our mission was to create a revolutionary shopping experience powered by AI. We aimed to understand user reactions to this novel approach and gauge its potential for success within the ARES Shopping Suite.
Research and Analysis
Snap employees served as our initial user base. We provided them with prototypes of the AI Stylist Studio and meticulously documented their feedback. This iterative process, fueled by user insights, allowed for continuous refinement until we arrived at the current iteration.
An AI-Curated Shopping Experience
An AI-Curated Shopping Experience
Opening Screen
The AI Stylist Studio fosters a user-centric experience from the outset. A thoughtfully designed interface presents a chat window for conversation history and a dedicated text field for your initial style prompt. To jumpstart inspiration, pre-populated text prompts address a variety of fashion goals. Alternatively, users can leverage the system’s flexibility by uploading an image or recording an audio prompt. This multifaceted input method caters to individual communication preferences, ensuring a smooth and efficient interaction with the AI fashion consultant.
Opening Screen
The AI Stylist Studio fosters a user-centric experience from the outset. A thoughtfully designed interface presents a chat window for conversation history and a dedicated text field for your initial style prompt. To jumpstart inspiration, pre-populated text prompts address a variety of fashion goals. Alternatively, users can leverage the system’s flexibility by uploading an image or recording an audio prompt. This multifaceted input method caters to individual communication preferences, ensuring a smooth and efficient interaction with the AI fashion consultant.
Initial Prompt
The user interface employs a color scheme for clear communication. User prompts appear in purple, while AI responses are black. In this instance, the user forgoes pre-populated suggestions and constructs their own opening prompt. They establish the context of a music festival and request recommendations for multiple categories, including pants, T-shirts, and accessories.
Initial Prompt
The user interface employs a color scheme for clear communication. User prompts appear in purple, while AI responses are black. In this instance, the user forgoes pre-populated suggestions and constructs their own opening prompt. They establish the context of a music festival and request recommendations for multiple categories, including pants, T-shirts, and accessories.
Who are you shopping for?
In response to the user’s initial prompt, the AI stylist prioritizes a smooth user experience by clarifying the intended recipient. This ensures product recommendations align with typical shopping preferences and minimize irrelevant options.
Who are you shopping for?
In response to the user’s initial prompt, the AI stylist prioritizes a smooth user experience by clarifying the intended recipient. This ensures product recommendations align with typical shopping preferences and minimize irrelevant options.
Initial Prompt Results
Product discovery is streamlined through user-prompted recommendations. The interface displays categorized modules (pants, t-shirts, accessories) with intuitive page navigation. Clicking on an item opens its page in a new tab where users can add items to cart. To further enhance the shopping experience, the AI stylist suggests pre-assembled outfit combinations, offering complete look inspiration. Both images and product names were generated by AI (Midjourney and Google Gemini, respectively).
Initial Prompt Results
Product discovery is streamlined through user-prompted recommendations. The interface displays categorized modules (pants, t-shirts, accessories) with intuitive page navigation. Clicking on an item opens its page in a new tab where users can add items to cart. To further enhance the shopping experience, the AI stylist suggests pre-assembled outfit combinations, offering complete look inspiration. Both images and product names were generated by AI (Midjourney and Google Gemini, respectively).
Refine Prompt Results
Expanding on their initial request for a festival outfit, the user specifies a preference for purple hues. Leveraging this combined information, the AI curates three unique festival looks featuring a purple theme, each with its own title and detailed product information. These outfits can be seamlessly added to the cart. Both images and product names were generated by AI (Midjourney and Google Gemini, respectively).
Refine Prompt Results
Expanding on their initial request for a festival outfit, the user specifies a preference for purple hues. Leveraging this combined information, the AI curates three unique festival looks featuring a purple theme, each with its own title and detailed product information. These outfits can be seamlessly added to the cart. Both images and product names were generated by AI (Midjourney and Google Gemini, respectively).
Add-To-Cart Overlay
Adding an outfit to the cart activates an overlay that showcases the complete ensemble on a model using AI-generated imagery (similar to this example). The overlay also lists the outfit items for easy reference. Users can then effortlessly proceed to checkout or access their Shopping Cart for further management.
Add-To-Cart Overlay
Adding an outfit to the cart activates an overlay that showcases the complete ensemble on a model using AI-generated imagery (similar to this example). The overlay also lists the outfit items for easy reference. Users can then effortlessly proceed to checkout or access their Shopping Cart for further management.
Conclusion
This project served as a research platform for exploring AI capabilities. Through iterative development and user focus groups, we gained valuable learnings that establish a strong foundation for future AI endeavors.
Conclusion
This project served as a research platform for exploring AI capabilities. Through iterative development and user focus groups, we gained valuable learnings that establish a strong foundation for future AI endeavors.