ChatGPT returns the corresponding emotional

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Product plan The design idea of ​​the product solution comes from the design tool commonly used by product managers, the user journey map. During the entire life cycle of a service work order, customers will use different communication tools to follow up on the service work order at different stages. By monitoring the corresponding text input channels and behavioral data (for example, order information entry in the App, frequency of phone inquiries, system messages, etc.), the summary is submitted to ChatGPT for semantic and emotional data analysis. When


results , the operation system receives relevant results Afghanistan WhatsApp Number and displays them on the corresponding work order in the form of emotion labels. Implement it into specific products to achieve results, as shown in the renderings. A new emotion identifier has been added to the existing single work order management interface to provide real-time feedback on the user's emotion and urgency associated with the work order. When users provide feedback on monitored communication channels, such as messages and emails,





the back-end sentiment analysis mechanism will be triggered, and the user information is sent to ChatGPT for semantic sentiment analysis. Through different emoticons and font color combinations, you can convey the most intuitive information to customer service staff.