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 well suited for growing companies that might have multiple brands, categories, languages and a complicated data model. inriver PIM is more than a syndication service, which is important to differentiate from other so-called PIM providers. I specifically like the ability for ecosystem collaboration across multiple technology platforms. However, inriver, is a complicated system and requires an implementation partner, which could price it out of the range for some companies.

Incentivized

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

Incentivized

• Query function is quite robust
• Job processing in tandem with current work is seamless
• Friendly UI
• Dual workspace is extremely helpful

Incentivized

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

Incentivized

• Workflow
• APIs
• Syndication

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