Researchers have developed LLP, a novel framework for pricing second-hand products on e-commerce platforms like eBay. Unlike traditional static regression models, LLP utilizes Large Language Models (LLMs) to better understand market dynamics and free-form text descriptions for more accurate pricing suggestions. The system employs a two-stage optimization process, including supervised fine-tuning and group relative policy optimization, and has been successfully deployed on Xianyu, China's largest second-hand e-commerce platform, significantly improving adoption rates. AI
IMPACT This research demonstrates a practical application of LLMs for dynamic pricing in e-commerce, potentially improving efficiency for sellers and platforms.
RANK_REASON The item is a research paper detailing a new LLM-based framework for product pricing, including experimental results and deployment on a real-world platform. [lever_c_demoted from research: ic=1 ai=1.0]
- eBay
- group relative policy optimization
- Hairu Wang
- iPhone
- Large Language Models
- supervised fine-tuning
- Xianyu
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