Akeneo vs. inriver PIM

It's well suited to an environment which has multiple users working on product information at the same time. For smaller organisations, it would be easy to segregate products for the different users to focus on their span of work, but this has been somewhat tricky in a multi-company environment like ours where we have different users working on the same / similar products. Overall though, we're happy with the product.

Incentivized

inRiver [PIM] is pretty easy to use. I can see a company with a more narrow product selection benefiting from this PIM. The challenge comes with the more SKUs and categories the company offers. Without our 3rd party implementor creating specialized imports for us, we would be having a difficult time managing mass data updates.

Incentivized

• Product Data Management
• Product Asset Management
• Data Quality & Consistency

Incentivized

• Scalability
• Data Integrations
• Workflow

Incentivized

• Product approval & multi-tier workflow for larger organisations
• Table attributes are limiting
• Access rights and product segmentation to user groups

Incentivized

• Missing the ability to be able to right click an item/product to open in a new tab
• Mass Asset/SKU management is not an out-of-the-box feature
• Shared folders area - few options to create a specialized area that you can block other users from deleting

Incentivized

inRiver has been both helpful and responsive to our needs. Their customer service and ticketing system are top-notch - timely communications and followup

Incentivized

When I compared these other PIM platforms, I found several were not true PIM systems. Although they solved for some significant syndication challenges, they did not have the ability to build a relational databased across products and categories. Furthermore, the interface is much more user-friendly and the ability to engage the entire team with workflow is a big plus!

Incentivized

• Time to market has reduced
• Increased efficiencies due to the reduction of duplicate work
• Increase in data quality

Incentivized

• Quicker go-to-market
• Improved templates for customer data
• Scalable for our growing organization

Incentivized