Onboarding of parts of a catalog

Onboarding of parts of a catalog

The Onedot standard data pipelines now all support straight-through processing of products for which no feedback is required and the confidence in steps such as attribute mapping, product classification or value standardization is high enough.

This usually allows the majority of products to be onboarded more quickly, while products with problematic data are temporarily held until feedback is received.

Fewer necessary logins

Fewer necessary logins

You now have to log in less while you are working with the Onedot app.

New authentication tokens are fetched in the background, even if you do not need the application at the moment. After a defined time, you will still be logged out for security reasons.

Automatically expiring feedback tasks

Automatically expiring feedback tasks

Feedback tasks can optionally also expire. After a certain time, the feedback tasks are automatically closed if no feedback was given.

This new feature has been implemented especially for fully automated data pipelines which deliver data several times a day and regular feedback is not necessary.

Users can therefore only provide selective feedback where necessary, while the data pipelines collect all feedback and use it in its entirety.

Multiple values in feedback columns

Multiple values in feedback columns

Multiple target values can now be specified in selected feedback tasks in the Onedot app, for example if a supplier attribute is to be associated with multiple target attributes.

This is also possible for product classification or waiting lists.

Filtered/sorted feedback tasks

Filtered/sorted feedback tasks

When editing a feedback task for the first time, a message is now displayed if the record is filtered or grouped.

This can avoid unpleasant surprises if the number of lines is not the expected number.

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