AI-enabled Mapping Module

Mapping rules define the conditions for matching data items between source and target taxonomies. As a result of the matching, we get the source data item mapped to the target data item. Product descriptions can be enriched and delivered to the endpoint if only the source and target taxonomies are synchronized.

AI enhancements now include automatic recognition of data import file fields, automatic feature value mapping, and AI-generated category and feature mapping suggestions. These innovations significantly reduce manual input and improve accuracy, ensuring that product descriptions are enriched and synchronized effortlessly.

Following the implemented requirements of global and local eCommerce platforms and web shops, the mapping UI module has been developed and shaped in a way that makes data mapping a breeze for a person possessing basic knowledge and hands-on experience in product content mapping and taxonomy.

With AI integration, the UI now offers intelligent shortcuts for one-click mappings, making the process even more intuitive. The system automatically suggests mapping rules, which can be easily edited, added, or deleted by users, with versioning features available to track and roll back changes. and without requiring any knowledge of coding from the user.

To speed up and facilitate for a taxonomy-inexperienced user the process of data mapping in the UI, the platform’s Back Office enables taxonomists to create and manage mapping templates, with the templates further delivered to the Front Office for the final filling-in.

Now, the AI assistance offers feature value suggestions and automates template generation, speeding up the process for those with limited experience in taxonomy. The platform imports the client’s taxonomy data in an Excel file, based on which the taxonomy engineer creates a data model template by synchronizing the target and source data configurations in the Back Office UI.

The module supports simple and complex mappings. The simple or 1-to-1 value matching provides for mapping a value of an external taxonomy feature to one value of a content provider feature (value-to-value). For example, a provider’s category “laptops” is mapped to the client’s category “notebooks” to have the client’s product description correctly enriched and syndicated. Further, within the simple mapping measurement units are converted and synchronized using the module’s UoM library. Complex mapping is composed of one or more conditions for mapping a client’s data item to a provider’s data item. For example, a client’s feature “dimensions“ is mapped to the provider’s three features “length“, “width“, and “height“ to have the values tagged to the product description.