Prysmian Group Selects inRiver as Global PIM Solution

inRiver, a leading provider of product information management (PIM) solutions that help businesses sell more products, announced that Prysmian Group, world leader in the energy and telecom cable systems industry confirmed the selection of inRiver as their global PIM solution for their Energy market. Prysmian Group serves over 50 countries, 106 plants, almost 30,000 employees, and generates over 11 billion Euros in revenue annually.

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Although many markets and global organizations slowed investments and expansion due to the pandemic, Prysmian Group was agile and well prepared to quickly shift to accommodate remote work. They continue their growth by investing in technology that helps them achieve scale and enhance performance for their organization and business users.

“To help implement the digital strategy Prysmian Group needed, we expanded our three year partnership with inRiver,” said Stefano Brandinali, Chief Digital Officer, Prysmian Group. “The need to meet changing customer requirements across geographies in our global world is significant. Accurate and engaging product information has become a must-have to succeed in B2B market today. inRiver proved to be the best solution to help us reach our goals of scalability and performance with a strong, comprehensive solution that will grow with us.”

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Prysmian will use inRiver to first onboard 18 countries across Europe and then, expand globally.  Key areas of focus for inRiver include:

• Scalability: The flexible data model will enable Prysmian Group to leverage inRiver as they continue to grow across regions with ease including language, localization, currency, channel, or other product content requirements.
• Performance: The speed and responsiveness of inRiver for Excel imports, exports, and PDF creation will help Prysmian Group increase efficiency and time-to-market to deliver the best product experience.
• Functionality: The ability to automate tasks in inRiver increases user productivity, onboarding of data, and reduces the risk of manual errors for optimal results.

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