AI-enabled Mapping Module

Data mapping or data matching is creating a direct relationship between two data items where one (source) item matches the other (target) item. As applied to product content enrichment and syndication, data mapping is the process of synchronizing the source product description structure (e.g. a content provider’s data model) with the target product data model (e.g. an ecommerce platform’s product data scheme).

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External data UI in mapping module How to map categories in Gepard PIM Target taxonomies overview in Gepard PIM Product mappings in Gepard PIM
What are feature values in Gepard PIM

Unlock The Module’s Features

The AI-powered data mapping module is the starting point for product description enrichment. Before enriching and delivering product descriptions, the module maps source and target product taxonomy data. In this process, the source taxonomy is a product content provider’s data model and the target taxonomy is the endpoint’s product scheme. With the integration of AI-powered features, this process is now more efficient, offering automated solutions to manage complex mappings seamlessly:

  • Automatic Field Recognition: AI automatically identifies and maps data fields from import files.
  • One-Click Mappings: Intelligent AI shortcuts allow for instant mappings, reducing manual effort.
  • Category and Feature Suggestions: AI offers recommendations for mapping categories and features based on historical data and learned patterns, increasing accuracy and efficiency.
  • Minimal Manual Work: AI-powered automation reduces the time spent on mapping by up to 75%, allowing for a nearly hands-off approach to complex mappings.

 

Creating & Managing Mapping Rules

Unit and category mapping rules

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.

Mapping User Interface

Gepard PIM system mapping module UI

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.

Creating & Managing Mapping Templates

How to set up mapping in Gepard PIM

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.

Simple & Complex Mapping

How to set up simple & complex mappings

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.

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The Import Module enables importing data from the required sources to further transform the data bringing it to the unified structure (taxonomy) accepted and required by the target platform.

Product Catalog Management

The product catalog management software automatically keeps your product content transformed, enriched and updated, providing the opportunity to override to manually add the required information to the product content.

Taxonomy Module

Taxonomy

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Export

A flexible and easy-to-adjust PIM setup of your tenant’s user management environment for safe authentication and authorization to the platform user accounts.

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