Restek transformed its fragmented, spreadsheet-driven product data processes into a centralized, scalable global commerce operation powered by Akeneo Product Cloud.
“Akeneo gave us a centralized, collaborative environment that eliminated product data bottlenecks and empowered teams across the business to work more efficiently together.”
Restek develops, manufactures, and distributes cutting-edge scientific testing equipment used in laboratories around the world. Its extensive portfolio includes chromatography columns, sample preparation and collection products, reference standards, and instrument accessories that support highly technical laboratory analysis.
Operating as a global organization, Restek sells primarily through its eCommerce platform, serving customers across the United States, Canada, France, Spain, Germany, Japan, the United Kingdom, and China. With thousands of highly specialized products and multilingual audiences across international markets, maintaining accurate, consistent, and localized product information is critical to delivering exceptional customer experiences.
“By automating localization and translation workflows, we dramatically accelerated global product launches while improving the consistency and accuracy of our product information.”
Before implementing Akeneo, Restek’s product information management processes were highly manual, fragmented, and difficult to scale. Product data lived across disconnected spreadsheets and systems, creating operational inefficiencies and limiting collaboration between teams. Even simple product updates required manual intervention and were dependent on a single individual managing the system of record, creating significant bottlenecks across the organization.
The challenges became even more pronounced as Restek expanded globally. Product updates had to be manually entered into Oracle Commerce Cloud, leading to delays, inconsistencies, and difficulties maintaining data accuracy across channels. Large-scale catalog changes often required complicated spreadsheet manipulation, making mass updates nearly impossible to execute efficiently.
Localization and translation workflows created another major obstacle. Launching products across multiple regions required lengthy back-and-forth review cycles between product managers, marketing teams, translators, and eCommerce stakeholders. Without centralized visibility into product completeness, approval status, or version history, global product launches slowed dramatically and teams struggled to maintain consistency across languages and markets.
Restek recognized the need for a modern, scalable solution that could centralize product information, streamline collaboration, automate workflows, and create a strong digital foundation for future growth.
“With Akeneo as our digital foundation, we now have the agility, visibility, and governance needed to scale product experiences across international markets.”
To solve these challenges, Restek implemented Akeneo PIM as its centralized single source of truth for both product data and digital assets. By consolidating information from its ERP system and Oracle Commerce Cloud into Akeneo, Restek established a scalable and governed product information ecosystem capable of supporting global growth.
The company built an extensive core data model designed to manage more than 8,000 SKUs across 90 product families, 214 attributes, 17 attribute groups, 7 reference entities, and 13 category trees. This structured foundation enabled teams to standardize and enrich product information at scale while maintaining consistency across every market and channel.
Restek also implemented Akeneo Shared Catalogs and AI-powered capabilities to improve localization and collaboration workflows. AI-assisted translations significantly reduced manual review cycles and accelerated multilingual content creation. Automated integrations using Alteryx enabled nightly imports from the ERP system, while Tailored Exports streamlined syndication into Oracle Commerce Cloud and print catalogs through Priint.
Additionally, Restek migrated more than 3,300 digital assets into Akeneo using automated, rules-based naming conventions. Role-based permissions, governance workflows, and support for nine global locales provided teams with greater transparency, accountability, and real-time visibility into product data management processes.
Since implementing Akeneo, Restek has dramatically improved the quality, consistency, and scalability of its product information operations. By the end of Phase 1, the company’s Akeneo PIM Scorecard showed that 80.3% of products achieved a Grade B rating, while 14.1% earned a perfect Grade A score. Products with poor-quality ratings, which had previously represented more than 97% of the catalog, were virtually eliminated.
The centralized and automated workflows also significantly accelerated time-to-market. AI-assisted localization eliminated many of the manual translation bottlenecks that had previously delayed global product launches. As a result, Restek made major progress toward its goal of reducing time-to-site from two weeks to just one day.
Internally, the transformation democratized access to product information across the organization. Marketing, engineering, product management, eCommerce, and regional translation teams now collaborate within a centralized, user-friendly platform with clearly defined workflows, permissions, and real-time visibility into product status and completeness.
For customers, the impact has been equally significant. Restek can now deliver highly accurate, fully localized, and consistent multilingual product experiences across every global channel. This improved digital foundation helps customers more easily discover and evaluate complex scientific products, ultimately increasing buyer confidence and supporting international growth.
By replacing fragmented manual processes with a scalable Akeneo-powered product experience strategy, Restek successfully transformed product information management from an operational bottleneck into a powerful driver of global agility and growth.
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