The master data required by LS Recommend, namely the LS Recommend Batches, LS Recommend POS Terminals, and LS Recommend Items, as well as the connection setup such as Recommendation API URL, are maintained in LS Central.
An LS Recommend Batch and Recommendation API URL can be assigned for LS Commerce's use. If you want product recommendations to be displayed on an LS Commerce device, you must send these basic LS Recommend setups to the LS Commerce Service.
To set up LS Recommend for LS Commerce
-
Click the
icon, enter LS Recommend Setup, and select the relevant link. -
Fill in the relevant fields in the LS Commerce FastTab:
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Click the LS Commerce action menu and then click Send Setup to LS Commerce Service to push the setup data to LS Commerce Service. The setup data sent include information from the assigned LS Recommend Batch, as well as the Recommendation API URL for connecting to the Model Reader.
| Field | Description |
|---|---|
| Use LS Recommend in LS Commerce | This check box specifies if LS Recommend should be enabled for LS Commerce. It should be activated if product recommendations are to be displayed on an LS Commerce device. |
| LS Commerce Func. Profile ID | This field specifies the ID of the POS Functionality Profile that has the connection setup information between LS Central and LS Commerce Service. |
| LS Key for LS Commerce | This field specifies a key used in LS Commerce when multi-tenant architecture is used in the cloud. It is used by LS Commerce Service to determine which LS Central application to connect to. |
| LS Recommend Batch No. | This field specifies the number of the LS Recommend Batch that has been assigned to LS Commerce. |
| Recommendation API URL | This field specifies the URL that will be used by LS Commerce to connect to the LS Recommend Model Reader for recommendation request. The Default Recommendation API URL defined in the General FastTab will be used if this field is left blank. |
Note: It is recommended to only send the setup to LS Commerce Service when the model of the assigned LS Recommend Batch has been loaded to the Model Reader and is ready to provide recommendations.
See also