Onedot Platform News

A new blueprint for the automatic processing of quotation requests is now available, whether fully structured data sets or just notes with product characteristics.

Customers can upload quote requests for the procurement of products to the Onedot platform to automatically match these requests with their product range.

The matching is not only done by order numbers, but also with the help of Natural Language Processing (NLP) and Artificial Intelligence (AI).

The Onedot platform uses historical attribute mapping information across customer boundaries even more intelligently.

Attribute mapping feedback also newly contributes to synonyms or related terms and therefore helps to better semantically train a variety of Onedot's machine learning models.

The Onedot app now offers navigation options within a list of files within a folder or feedback tasks within a category.

This allows, for example, quick browsing of multiple feedback tasks that have been assigned to different users.

Further improvements have been implemented to continuously train specific Machine Learning (ML) and Natural Language Processing (NLP) models from the Onedot product graph.

These models can be used in processing steps such as attribute extraction, attribute mapping, classification, segmentation, etc. and further increase precision by processing additional semantic information.

Another Blueprint for 1WorldSync (formerly CNET) data processing is only available.

Customers can now commission a complete data pipeline for onboarding 1WorldSync DataSource product data with minimal effort, supporting attribute mapping, classification, integration and normalisation to the customer-specific product data model.

The Onedot platform module for loading product catalogs in supported file formats has been enhanced to trace the origin and data source of each attribute value.

The origin within archives and data sources consisting of hundreds of files is also reliably tracked.