US20250054044
2025-02-13
Physics
G06Q30/0631
Generative artificial intelligence is employed for outfit curation, leveraging online marketplaces. A seed clothing item is used to generate a prompt for the AI to create an outfit that includes this item. The AI initiates a search on an online marketplace to find complementary items available for purchase. The results are then displayed to the user in a user-friendly interface, allowing them to select items for their curated outfit.
Traditionally, online retailers rely on stylists to manually curate outfits, selecting items from their inventory to create appealing combinations that attract customers. This process is time-consuming and limited by the stylist’s ability to keep up with rapidly changing inventories. The use of generative AI addresses these limitations by automating the curation process and adapting to dynamic online marketplaces where inventory changes frequently.
The automated system uses generative AI to curate outfits based on a seed clothing item. The AI searches an online marketplace, accessible by decentralized users who list unique and varied items. This decentralized nature results in an inventory that is constantly evolving, presenting challenges for traditional curation methods. The AI overcomes these challenges by quickly generating search queries and providing real-time results based on current marketplace listings.
Upon receiving a request with a seed clothing item, the system generates a prompt for the AI, which conducts a search on the marketplace. The AI provides search terms that are used by the system to interact with the marketplace’s API, retrieving listings of complementary items. These listings are presented in a structured interface, often organized from "head to toe," enabling users to easily select and purchase items to complete their outfit.
While primarily focused on clothing, this system can also be applied to other domains such as furniture. By using a seed item like a piece of furniture, the AI can generate groupings of complementary items for spaces like living rooms or outdoor areas. This adaptability showcases the potential for generative AI to curate cohesive sets of items across various categories beyond fashion.