Brief Introduction

Live streaming e-commerce has emerged as a transformative force in digital trade, driving market vitality and SME empowerment in the AI age. Distinct from traditional static platforms, this track explores live streaming e-commerce as a uniquely multimodal, synchronous, and highly interactive paradigm powered by artificial intelligence. It integrates visual demonstrations, verbal persuasion, and social signals to create an AI-driven environment for real-time value co-creation. Unlike asynchronous shopping, this dynamic format leverages intelligent algorithms to foster instant feedback and trust-building, significantly enhancing conversion efficiency. Special attention is given to advanced AI applications, such as real-time sales prediction based on multimodal features and digital generation technologies like virtual anchors. We invite research examining the technical, behavioral, and economic mechanisms behind this AI-facilitated convergence of content and commerce.

Topics

1. Theoretical mechanisms of how multimodal factors influence sales
2. Boundary conditions for the effects of multimodal factors on sales
3. Interaction effects between cross-modal factors and their impact on sales outcomes
4. Live sales prediction accounting for multimodal inputs
5. Generation of live-stream digital humans with multimodal coordination
6. Virtual streamers and AI-driven interactive experience optimization