In the backend, you can go to "Conversation" to view all chat records between the AI and your customers. However, with a high volume of daily chats, reviewing each one individually can be tedious. To solve this, we've introduced a tagging feature for conversations.

The system currently supports the following tags:

You can quickly find conversations that need attention by filtering these tags.
For example:
ticket: Review why a customer submitted a ticket. Was the AI's response unsatisfactory, or was the customer's issue urgent?conversion: Find which chat records led directly to a sales conversion.policies: Quickly locate all conversations where customers inquired about store policies (such as return/refund policies, shipping policies, etc.).This feature helps you and your customer service manager quickly check the daily performance of your AI "employee" and identify potential issues that may require human intervention.