Onedot Platform News

Short infos that are displayed with long attribute texts can now also be resized, which makes reading longer product descriptions much easier.

The feedback task overview now also shows the expiration date of a feedback task.

Fully automated onboarding processes can optionally expire feedback tasks, allowing product data managers to provide feedback or not at will, meaning that the task is automatically closed after a definable time.

A new feature is that part of the calculations for suggestions in feedback tasks are calculated directly in the browser itself, which further improves the working speed when the Internet connection is not optimal.

The natural language processing (NLP) algorithms for product descriptions have been further refined to better address common compounds and specific terminology in commonly used product descriptions.

Depending on the data processed, this results in a substantial increase in precision.

All actions in the Onedot app now display a short info with hints about the action after a short pause with the mouse.

Inputs of data pipelines can now also configure time-based filters, so that, for example, during a recurring onboarding process, all delivered data is automatically processed within a specific time window.

The attribute mapping module of the onboarding process now considers additional historical mapping information to calculate suggestions.

All feedback on similar products from similar industries as well as customer-specific feedback from previous onboarding processes is used for this purpose.