> ## Documentation Index
> Fetch the complete documentation index at: https://docs.marsmind.cc/llms.txt
> Use this file to discover all available pages before exploring further.

# Data Insights

> Display core data metrics and classification of AI Agent's customer communication process.

## Feature Overview

The data dashboard module is used to centrally display core data related to **AI Agent customer communication**. The page provides summary metrics, trend changes, and question classification modules to help enterprises intuitively view usage. The following are some examples.

<Note>
  We also welcome you to explore more data mining and customized visualization solutions with us.
</Note>

<Frame>
  <img src="https://mintcdn.com/marsmind-a4b034a0/3uTW3Y7bE8G_FZey/images/Screenshot2025-09-07at00.28.59.png?fit=max&auto=format&n=3uTW3Y7bE8G_FZey&q=85&s=8b0aa96bab4181ab484aeee5170fb234" alt="Screenshot 2025-09-07 at 00.28.59.png" width="3248" height="2112" data-path="images/Screenshot2025-09-07at00.28.59.png" />
</Frame>

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## Top Metrics

The top of the page displays several key indicators:

* **Total Message Count**: Cumulative total messages
* **Customers Served**: Number of customers served
* **Online AI Sales**: Number of currently online AI sales
* **Daily AI Performance**: Daily average performance data

***

## Trend Charts

* **Ticket by Date**\
  Display message trends by time dimension.
  * X-axis: Date (displayed by day)
  * Y-axis: Message count
  * Different colored curves represent different Avatars (such as Avatar1, Avatar2, Avatar3, etc.)

Here you can intuitively see the message activity of each role in different time periods.

***

## Question Classification

Below the trend chart (area not fully shown in screenshot), the system will intelligently classify and rank questions raised by customers, for example:

* Category name
* Percentage proportion

Through classification, you can more clearly see the composition of common customer questions.

***

## Data Export

The page supports exporting data for enterprises to conduct further analysis or archiving.