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

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arxiv 2507.05330 v1 pith:4QCFFNIT submitted 2025-07-07 cs.CL cs.AI

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

classification cs.CL cs.AI
keywords e-commercemindflowmultimodalcomplexcustomerablationactionadopts
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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