Onedot Platform News

The functionality for determining suggestions for value mappings now uses XXX algorithms to achieve significantly higher precision.

Product characteristics of textiles such as "soft drape, non-elastic, water-repellent/waterproof" are now recognised with higher accuracy and associated with possible target values.

This was implemented on the basis of the latest natural language algorithms such as bidirectional long/short term models and other approaches.

The support of multiple values in cells of data sets of feedback tasks has been further improved.

Deleting clickable values now also updates the feedback column and are also displayed differently if they are not editable.

Various optimisations for the validations of dependent cells and cells with specific allowed values were implemented.

On average, editing a single row is about two times faster and editing up to 3000 cells simultaneously is now possible in a few seconds.

It is now possible to define which problem types have which degree of severity in feedback tasks.

Problems classified as errors make it impossible to complete the feedback task, for example if a mandatory target attribute is not filled in the attribute mapping.

Problems classified as warnings or information allow the feedback task to be closed. More context is shown to the right of the feedback task title.