Casual sellers struggled to draft professional listings. AI now generates titles, descriptions, and categories from photos.
One of Japan’s leading online marketplaces for secondhand goods, relying on individual users to manually photograph, describe, and categorize millions of unique items.
The manual listing process created high friction for casual sellers who lacked the expertise to craft professional titles and descriptions. This...
“Today, these features are seamlessly integrated into the listing experience, allowing users to benefit from AI without even being aware of it.”
Community-powered marketplace for buying and selling new and used items.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Sellers spent 10 minutes researching and drafting listings. AI now generates them from a photo, cutting the work to seconds.
Complex forms stalled sellers. Multimodal AI now drafts listings from video, cutting setup time to minutes.
Manual research took weeks per product. Gen AI now automates analysis across portfolios, driving a 21% revenue surge.
Manual fixes slowed order processing to 2.5 hours. AI code optimization cut that to 30 minutes and reduced incidents by 50%.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.