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Deep Chat is suitable for three typical application scenarios

2025-08-25 1.6 K

In practical applications, Deep Chat shows remarkable scene adaptation capabilities. The first is the personal website intelligent assistant scene, bloggers can provide content consulting services by integrating the component, users can both text input and voice questions. The second is the e-commerce customer service support scenario, where the component can handle high-frequency issues such as order inquiries and return and exchange policies 24/7, significantly reducing labor costs. The third is the online education scenario, where students can ask learning questions in a multimodal way, and the AI instantly answers and supports the display of code samples. These scenarios benefit from the Markdown rendering, message grouping and other features provided by the component. Actual deployment data shows that integrating Deep Chat can increase website user dwell time by 40%, interaction rate by 60%, and conversion rate by a significant improvement.

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