105 Inriver Testimonials

"The project has been great and we have had a good collaboration between everyone involved. With this project, we have been forced to go through and update all articles, which means that we now have the same information about the articles on all our platforms; e-commerce, website, and catalog."

"inRiver is working extremely well for us and has enabled Ethan Allen to respond to business needs in ways never possible before. It’s a big deal. A really big deal."

“Everything’s better with inRiver. We have a user-friendly product information source for our content team to manage, and it’s easier for them to manipulate the data and check consistency across product categories. We can export product data in a way that really takes advantage of new functionality in our website. The tool is very flexible and we can export data directly in the way the web structure needs it."

“We can share the same information across platforms and maintain it in one place. It supports translations and multiple languages, so everyone can view consistent data.”

“With 800,000 SKUs, it’s difficult to manually also enrich all the products. We also try to integrate with centralized databases with product information to get the product data into the PIM that one has to touch."

“Accurate product data is critical. Inaccuracies can lead to lost sales, especially when customers make split-second decisions online. Ensuring consistency and quality across platforms was a growing concern.”

“This is a stepping stone to further development of PIM and all kinds of applications, which should make things easier for me and my colleagues. In this way, the Van Wijhe Verf organization is going to work even more efficiently and effectively.”

“They go for the result and take that extra step, focusing on long-term partnership. In doing so, they also play an important role towards Inriver to act in a joint triangle for the best result.”

“With the PIM system, we now have a central place for all our product data, available in four languages. This has significantly improved our efficiency and data consistency.”