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MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents

Published: July 7, 2025 | arXiv ID: 2507.05330v1

By: Ming Gong , Xucheng Huang , Chenghan Yang and more

Potential Business Impact:

Helps online shoppers by understanding pictures and words.

Business Areas:
Personalization Commerce and Shopping

Recent advances in large language models (LLMs) have enabled new applications in e-commerce customer service. However, their capabilities remain constrained in complex, multimodal scenarios. We present MindFlow, the first open-source multimodal LLM agent tailored for e-commerce. Built on the CoALA framework, it integrates memory, decision-making, and action modules, and adopts a modular "MLLM-as-Tool" strategy for effect visual-textual reasoning. Evaluated via online A/B testing and simulation-based ablation, MindFlow demonstrates substantial gains in handling complex queries, improving user satisfaction, and reducing operational costs, with a 93.53% relative improvement observed in real-world deployments.

Country of Origin
🇺🇸 United States

Page Count
7 pages

Category
Computer Science:
Computation and Language