List of Features:
No. | Feature | Description |
1. | SKU-Digital Asset Linkage Type Filter Support | When a digital asset is linked to a SKU, users can assign any user defined type that describes that linkage. Previously, this data element was not available for use when searching for SKUs in PCC. Users can now use the SKU-Digital Asset Linkage Type as a filter condition element to search for SKUs. This new element is available for use in both the View My Products screen (left side filter panel) and the Advanced SKU Search Condition. |
2. | Enhanced String Transformation in Supplier Portal | The distributor user of SupplierBridge can now configure data transformation rules while building and editing templates. These rules instruct the system to transform incoming product data from suppliers into an acceptable value for attribute(s) so that it meets the data quality standards of the distributor’s PIM. In our continuous effort to provide more sophisticated tools for transformation to the user, this release adds the functionality of configuring string transformations as part of this process. Using an intuitive UI, the user can configure even the most complex transformation rule without needing to understand the programming complexities of how to manipulate character-based data. It gives more control and option to the distributor to use the power of SupplierBridge to receive high quality product information using SupplierBridge without adding the burden on the suppliers for providing clean data. |
3. | Magic Uploader | AI Studio is a standalone workbench in the PCC portal where users can try out different AI-enabled automations, recommendations and generative intelligence. The Magic Uploader is the latest feature that has been added to the AI Studio suite. This feature allows the user to upload PDF files containing product information. The system will read, interpret and derive product content (attributes and linked photos) for one or multiple SKUs from this uploaded PDF. The output is displayed in an easy-to-understand UI showing the extracted product information from the PDF, which the user may choose to download as an excel. In future releases in 2025, PCC aims to integrate this feature into the mainstream application. |