Abstract
Some online fashion commerce experiences can be fragmented and labor-intensive, while certain human-led stylist services may lack scalability and real-time adaptability. A system and method are described for a personal shopper agent that uses artificial intelligence (AI) to automate apparel curation. The agent can synthesize a user's explicit preferences and implicit behavioral data to create a style blueprint. It may then query one or more product inventories for candidate items and use generative AI to produce virtual try-on images of these items on a user's three-dimensional body model. The agent can programmatically assess these images for fit and style to select items for a personalized bundle. This approach can provide an integrated personal shopping service that incorporates discovery, curation, visualization, and purchasing, potentially reducing manual user effort through a learning loop.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Kudli, Sneha and Dabbiru, Lakshmi Kumar, "Agent-Orchestrated Apparel Curation with Generative AI-Based Visual Assessment", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10169