> For the complete documentation index, see [llms.txt](https://docs.emandai.net/vagent-user-guide-eng-ver/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.emandai.net/vagent-user-guide-eng-ver/livechat/livechat/label-and-customer-information.md).

# Label & Customer Information

Customer labeling helps classify customer needs clearly and specifically

To view and fill in customer information, please access the **Livechat** section of the chatbot that contains the corresponding customer information:

<figure><img src="https://3402843854-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxKm9k8XBKg4q6QdkW4P1%2Fuploads%2Flvx3WZmbofU2DAIuOIT6%2Fimage.png?alt=media&amp;token=1f1f706c-7f37-4ec5-a9b7-f33ad5a6e25c" alt=""><figcaption><p>Livechat screen</p></figcaption></figure>

Select the conversation you want to view and fill in the information in the AI virtual assistant section

<figure><img src="https://3402843854-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxKm9k8XBKg4q6QdkW4P1%2Fuploads%2FAdImbdTl2Ez8Ym1d8qgG%2Fimage.png?alt=media&amp;token=bf21ea0d-71d3-43c7-9f34-0235012f5f7d" alt=""><figcaption><p>A list of conversations</p></figcaption></figure>

Fill in customer information in the corresponding section

<figure><img src="https://3402843854-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxKm9k8XBKg4q6QdkW4P1%2Fuploads%2FO4r1fUx7ooZoI5l4EtTK%2Fimage.png?alt=media&amp;token=36349fa5-603c-4546-bd8b-2e4e5eb3b086" alt=""><figcaption><p>Customer Information</p></figcaption></figure>

Label the customer by entering the label name and pressing **Enter**

<figure><img src="https://3402843854-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxKm9k8XBKg4q6QdkW4P1%2Fuploads%2Fm43f5wmbKtvWOiTUBPoK%2Fimage.png?alt=media&amp;token=61fb4db7-1e2b-4744-a393-56f18d4b3673" alt=""><figcaption><p>Label the customer</p></figcaption></figure>

Label customers to classify customers and easily find conversations with customers
