Traditional voice or text-based customer service is being disrupted by multimodal AI. According to the latest IDC report, the global multimodal AI customer service market reached $4.7 billion in 2024, with a compound annual growth rate (CAGR) of 34%. Multimodal systems can simultaneously process voice, text, images, and video, delivering a more natural interaction experience. Typical applications include: customers uploading product photos, with AI automatically identifying faults and generating repair plans; or through real-time video calls, AI agents guiding users through device setup. For example, after an Asian e-commerce platform launched its multimodal customer service, user satisfaction increased by 28% and the return rate dropped by 15%. In terms of technical implementation, multimodal models (such as GPT-4V) integrate vision encoders and language models, but challenges remain in cross-modal data synchronization and low-latency inference. Industry leaders like GlobalConnect are testing "real-time multimodal stream processing" architectures that unify voice, text, and visual data encoding, achieving response times under 800 milliseconds. In the future, multimodal AI will integrate with AR glasses and smart home devices to deliver a seamless "see and answer" experience. Companies should prioritize investment in semantic understanding and visual search fusion technologies to meet customers' growing demand for visual communication.