The latest version, inRiver 6.3, includes a simple-to-use, template based, “single-click” creation of product catalogs, faster and more precise onboarding of supplier data, easier data management with Office 365 Excel 2016 add-in.
With this release we continue to strengthen our collaborative, role-based, app-centric platform. Once again we have sharpened the tools for product marketing teams to become even more efficient and productive in every stage of the B2B and B2C sales process. We also continue to deliver features and functions to refine the inRiver PXM (Product Experience Management) concept, leveraging the unique combination of PIM, DAM, and Planning functionality in one single platform.
inRiver PIM 6.3 is compatible with Windows 10.
|A cleaner user interface for a better user experience||It’s easier to get an overview as more details are displayed in the new enhanced Content Store|
|Creating a catalog or a look book from the Content Store is done in a single click||The new split view feature in Supplier Onboarding provides great overview of all suppliers and data and increases the quality of imports|
|New features in Planner enables you to get the details behind the plan exported to Excel or PDF|
|With the inRiver adapter code available on GithHub, developers can get hold of our adapter projects to make customizations||New framework for adding natively integrated custom-built Apps to boost productivity|
|HARMONY IN WORKLOAD|
|Set the interval of when a job should run. This new feature gives you more flexibility providing more harmony in your workload||Update multiple products at the same time. This new feature enables fast, wizard-led changes across entities sharing common fields|
|Add-in for Office 365 Excel 2016 provides a productivity boost by seamless imports and updates of inRiver data (work areas)|
PUBLISH AND PREVIEW
|Single-click menu option in Enrich App to achieve super-fast creation of product sheet in PDF format||The new preview feature in the Plan&Release App shows how products will be displayed in a channel context, enabling faster and more precise results|