DAY 2 16:00-16:30 JST Main Room A
Ja
Onsite

"Yahoo! JAPAN Flea Market's" Use of Generative AI: Case Study of "Easy AI Listing" Generating Item Information from an Image

In this session, we will present practical case studies of implementing generative AI in Yahoo! JAPAN Flea Market. We will share insights gained through our step-by-step approach, starting from “product description generation,” progressing to “product title generation,” and ultimately developing the capability to “generate product information from a single image.” We will discuss our user value-centered approach rather than technology-driven implementation, establishing evaluation methods, and decision-making within practical constraints—all practical learnings from the field. For those working on generative AI projects, we will provide concrete tips on how to implement while maintaining a balance between technology and value.

The archive is available only internally.

Speaker

Takanishi Yukiko

Takanishi Yukiko / LY Corporation

Commerce Company Reuse Services Group Product Division 1 Reuse Labo Office Insight Team

Joined Yahoo Japan Corporation as a new graduate in 2012. I have experience as a Web, iOS, and API development engineer, and have worked as an engineering team leader. Currently, I lead the Insight Team at Yahoo! JAPAN Flea Market's Reuse Labo, exploring new business models for reuse services. I am also a member of the AI Promotion Team, working on implementing and utilizing generative AI technologies for reuse services.

Takeuchi Risa

Takeuchi Risa / LY Corporation

Commerce Company,Reuse Services Group, Product Division 1, Fleamarket Planning Department, Planning Team 1

I'm in charge of product planning for Yahoo! JAPAN Flea Market. My favorite hobby is collecting vintage items and works by artists.

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