ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping
- Published
- Source
- arXiv
- Paper number
- 532
- Field
- Information Retrieval
- arXiv ID
- 2606.31693
Key points
- It unifies intent-to-item fulfillment in a single model: intent understanding, execution planning, and SID-native control.
- Semantic ID (SID) design: semantically recoverable and editable by the LLM.
- It specializes a general LLM into a shopping agent through continued pretraining and post-training recipes.
- On single-turn and multi-turn evaluations based on Taobao production logs, it outperforms existing tool-mediated systems.
- It achieves especially large gains on complex and ambiguous requests, reaching precision of 88% to 97%.
- The model-native design reduces loss during handoff between orchestration and item execution.
Paper links
External research summaries. These are not HDATF publications or measured product results.