Connecting to the KWI connector

Overview

KWI platform supports Point of Sale (POS), Merchandise/Inventory management, Order management, Customer Relationship Management (CRM), and eCommerce. You can use Skypoint AI's built-in connector for importing data from KWI.

Prerequisite

• You have a KWI account and required credentials such as username, password, and domain URL.

Import Data using KWI Connector

Follow the below steps to create a new dataflow for the KWI import connector:

1. In the left pane, go to Dataflow > Imports.

The Dataflow window appears.

2. Click New Dataflow to create dataflow.

3. Enter a Name to identify your Dataflow.

note

The name must start with a letter and can only contain letters and numbers, with no spaces between the characters.

4. Click Next.

Add KWI connector

1. In the All or Sales tab, select the KWI connector to start the configuration.

2. Also, you can use the Search function to find the KWI connector.

3. In the Set dataflow name page, enter the Display Name to identify your dataflow.
4. In the Description box, you can enter an explanation of the connector.
5. Click Next.

To configure KWI

1. Enter your credentials such as Username, Password, and Base URL to configure with the KWI connector. For details about each API, click KWI Commerce API Details. Also, if you want to know how to connect with API, click KWI Commerce API Try Out Functionality.
2. Click Connect.

3. Enter the Table Details to process the data.

Item	Description
Purpose	Option to assign a purpose (Data or Metadata) for each table.
Data	Loads customer data
Metadata	Loads Metadata
Name	Displays the name of the file that you imported.
Table Name	Displays the imported table name. You can rename it later if needed.

4. Click Save to apply the changes.

Run, edit, and delete the imported data

1. After saving the connection, the KWI connector appears on the Dataflow page. Also, you can see the list of created tables in the Databases section.

Item	Description
Name	Displays the name of the Dataflow.
Type	Displays connector type symbol.
Status	Indicates whether the data is imported successfully.
Tables Count	Displays the number of tables.
Created Date	Displays date of creation.
Updated Date	Displays last modified date.
Last Refresh	Displays the latest refresh date, which updates each time you refresh the data.
Group by	Option to view the items in a specific Group (For example, name, type, status).

2. Select the horizontal ellipsis in the Actions column and do the following:

If you want to	Then
Modify the Dataflow	Select Edit and modify the Dataflow. Click Save to apply your changes.
Execute the Dataflow	Select Run.
Bring the data to its previous state	Select Rollback.
Delete the Dataflow	Select Remove and then click the Delete button. All tables in the data source get deleted.
See the run history of the Dataflow	Select Run History.

note

You can find the error message related to data import failures in the Dataflow under Run History Description.

Next step

After completing the data import, start the Master Data Management (MDM) - Stitch process to develop a unified view of your customers.