The “Agentic and Generative AI for E-Commerce” workshop explores the rapidly evolving intersection of recommender systems, generative AI, and agentic AI in online retail. As AI systems evolve from passive generators to autonomous agents capable of planning, reasoning, and taking actions, e-commerce stands at the forefront of this transformation. The objective of this workshop is to foster discussions on how agentic AI systems — autonomous agents that can browse, compare, negotiate, and purchase on behalf of users — alongside generative models ranging from large language models (LLMs) to diffusion-based techniques, can transform personalization, product recommendations, content creation, and user engagement in e-commerce platforms. Through this workshop, we seek to highlight novel research, industry applications, and emerging trends that can enhance the capabilities of modern recommender systems.

E-commerce companies face challenges such as lack of quality content, subpar user experience, and sparse datasets. Generative and agentic AI offer significant potential to address these — from generating product content to deploying autonomous shopping assistants for end-to-end purchase workflows. Yet, scaling these technologies presents challenges including hallucination, excessive costs, latency, and ensuring safe autonomous agent behavior.

Paper submission link: https://easychair.org/my/conference?conf=recsys2026workshops