---
title: "Service creation and management"
slug: "aitems-service"
tags: ["AiTEMS"]
updated: 2026-09-17T09:33:50Z
published: 2026-09-17T09:33:50Z
canonical: "guide.ncloud-docs.com/aitems-service"
stale: true
---

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

# Service creation and management

Available in Classic and VPC

The Service creation and management section describes how to create, edit, and delete services.

## Create a service

A service is the basic unit required to use AiTEMS. You can manage services based on their service names, and when a service is created, a unique service ID is assigned. To create a service:

1. Navigate to **Menu** > **All Services** > **AI Services** > **AiTEMS** in the NAVER Cloud Platform console.
2. Click the **Service** menu.
3. Click the **[Create service]** button.
4. When the Create service popup appears, enter the service name and select the training type.
  - **Service name**: Used as the management key for the service; enter 3 to 20 characters.
    - Must begin with an English letter or _, and can contain English letters, numbers, _, and -.
  - **Training type**: Select the type of training for the dataset **(Batch for recommendation results**, or **Periodic for real-time recommendation results)**.
    - For more details on training types, see [Training types](/docs/en/aitems-service#%ED%95%99%EC%8A%B5%EC%9C%A0%ED%98%95).
  - **Service description**: Enter a description of the service.
  - After creating a service, the **service name** and **training type** cannot be modified.
5. Click **[Create]** button.
  - The service is created and added to the service list.

### Training types

AiTEMS provides two training types. Training is performed based on the training type selected when creating a service. The training types are described below.

- Batch: Trains using the dataset you uploaded in the console. After the initial training is completed, no additional training is performed automatically. If you need to train new data, you can upload new data and start training manually. Therefore, batch training reflects only the data that was trained.
- Periodic: Performs the initial training based on the dataset uploaded in the console. Afterward, you can upload new data through the API, and the system automatically updates the existing training data according to the update interval. Even if there is no new data, the system checks for updates at each interval, during which the service and training status show **Training**. Therefore, periodic training reflects new data in recommendation results in real time through continuous updates.

              Note

              

To upload new data for periodic training, see the following:

- [API Guide](https://api.ncloud-docs.com/docs/en/ai-application-service-aitems-service-intervalupload)

## Editing a service

You can edit the service description.

              Note

              

You cannot modify the service name or training type selected during service creation.

To edit a service:

1. Navigate to **Menu** > **All Services** > **AI Services** > **AiTEMS** in the NAVER Cloud Platform console.
2. Click the **Service** menu.
3. In the service list, click the service you want to edit.
4. Click **[Edit]** button.
5. After editing the service description, click **[Edit]** button again.

## Delete service

To delete a service:

              Caution

              

When you delete a service, all data related to that service, including training results, is permanently deleted. Deleted services cannot be restored. Be careful to avoid deleting important data.

1. Navigate to **Menu** > **All Services** > **AI Services** > **AiTEMS** in the NAVER Cloud Platform console.
2. Click the **Service** menu.
3. In the service list, click the service you want to delete.
4. Click **[Delete]** button.
5. When the Delete service popup appears, enter the service name and click the **[Delete]** button.
  - The service is deleted and removed from the list.