Experience Commerce

Scaling Multilingual B2B Commerce with AI Translation

Weinmann & Schanz transformed multilingual content operations across 80,000+ products by upgrading their AEM-integrated DeepL translation workflows. Comwrap Reply delivered cloud-native deployment, glossary management, and translation memory integration—cutting manual translation effort by up to 90%.

The Challenge

With 80,000+ SKUs across multiple European markets, Weinmann & Schanz faced mounting translation bottlenecks. Manual workflows couldn't keep pace with catalog growth. Inconsistent terminology across languages eroded brand quality—and the existing Microsoft Translate integration no longer met their standards.

The Scenario

Weinmann & Schanz (WS) is one of Germany's leading SHK wholesalers, serving plumbing, heating, and climate professionals across Europe. As the company expanded its international B2B commerce operations, content localization became a strategic bottleneck. Thousands of product descriptions, campaign assets, and technical specifications needed consistent, high-quality translation—at speed. The existing translation setup lacked centralized glossary management, had no translation memory reuse, and couldn't deploy reliably through AEM Cloud Manager. WS needed a translation infrastructure built for scale.

The Solution

AI-Powered Translation Built Into the Content Chain

Comwrap Reply upgraded and expanded the DeepL AEM Extension to turn translation from a manual bottleneck into a scalable, governed content operation.

The solution centers on four capabilities:

The result: a translation engine embedded directly into WS's AEM-based content supply chain—scalable, governed, and ready for international growth.

How we did it

Deep AEM Integration with DeepL API and Cloud Manager

The project required deep integration between Adobe Experience Manager, the DeepL API, and AEM's cloud-native deployment infrastructure.

Comwrap Reply built a custom AEM extension with a structured UI for glossary management—enabling non-technical content teams to maintain terminology standards without developer involvement. The extension integrates translation memory (TM) directly into AEM's translation project workflows, ensuring every API call to DeepL carries both glossary rules and historical translation context.

Deployment was re-architected for AEM Cloud Manager, replacing legacy deployment models with a compliant, repeatable ZIP-based rollout. This ensures future upgrades and patches follow Adobe's cloud-native standards.

Key technologies:

The Results

The upgraded translation infrastructure delivered immediate, measurable impact:

Up to 90% reduction in manual translation effort through automated workflows, glossary enforcement, and translation memory reuse. Content teams now localize product catalogs and campaigns at the speed the business demands—not at the pace of manual copy-paste.

Brand terminology is consistent across all target languages. Deployment is cloud-native and repeatable. And critically, the foundation supports WS's continued international expansion without scaling the translation team linearly.

About the Client

WS Weinmann & Schanz GmbH is a leading German mail-order wholesaler for the sanitary, heating, and climate (SHK) industry. Founded over 40 years ago in Balingen, Baden-Württemberg, the family-owned company has grown to approximately 700+ employees and serves SHK professionals across Europe. With a portfolio of over 85,000 products spanning installation, heating, sanitation, ventilation, electrical, and tools, WS combines deep industry expertise with a strong digital commerce and logistics backbone. The company also operates subsidiaries including TBS France and the E27 electrical wholesale brand.

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