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AI translations

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With kAI, AI translation for your online store becomes significantly easier, faster, and more structured. Instead of manually translating product descriptions word for word, kAI uses existing store data, product attributes, and existing content as a basis to generate appropriate translations for different languages.

This saves a tremendous amount of time and reduces manual effort, especially for large product ranges. This allows product descriptions, categories, and other shop content to be efficiently prepared for international markets, new sales channels, or multilingual Shopware stores. The translations are not created in isolation from the product but are based on the specific item, the available information, and the desired tone.

In this way, AI translation becomes a practical e-commerce workflow that helps companies deliver multilingual content faster, generate consistent texts, and lay the groundwork for better international visibility. Final review remains important, but the time-consuming first step of translation becomes significantly more efficient with kAI.

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More Information

Translate product
descriptions in minutes

In this video, we’ll show you how to use kAI to translate product descriptions in Shopware 6 quickly and systematically. You’ll get a concise overview of the process, see how it works in a real-world store setting, and learn how to efficiently prepare even large volumes of product descriptions for multilingual sales channels.

This workflow is particularly helpful for shops with many items, variants, or regularly changing product ranges. Instead of creating translations individually, you can prepare product data specifically, have it translated with AI support, and then review or optimize it further. This creates an efficient process that saves time and makes multilingual content available much faster.

Frequently Asked Questions About AI Translation

How quickly can product descriptions be translated?

With kAI, even large volumes of product text can be translated much faster than through a purely manual process. Depending on the volume and data quality, initial translations can be generated in just a few minutes. This creates an efficient workflow for multilingual store content, especially when dealing with a large number of items, variants, or recurring product data.

Yes, existing texts and product information can be used as a starting point. This ensures that translations aren’t disconnected from your product lineup, but are based on your shop’s existing content, product features, and structure.

AI translation is particularly useful for large product ranges. Instead of editing each item individually, large amounts of product data can be organized in a structured way and made available for other languages more quickly.

Yes, multilingual product content is a key step toward reaching international audiences. With machs mit kAI, you can make your store content available in additional languages more quickly, allowing you to prepare for new sales channels or markets more efficiently.

A multilingual store helps you better reach new target audiences and international markets. When customers can read product information in their own language, trust increases, usability improves, and the decision to buy is often easier to make. With machs mit kAI, you can get ready for this step much faster because product texts can be efficiently translated into other languages.

Interested?
We'll make your store multilingual—with AI translation from kAI!

With kAI, you can translate product descriptions, categories, and other store content into different languages much faster. This makes it easier for you to tap into international markets, reach new target audiences, and gradually make your store multilingual.

Instead of manually translating each text individually, kAI uses existing product data and content as the basis for structured translations. This creates an efficient workflow—especially for large product ranges—that saves time and provides you with a solid foundation for multilingual shop content.

René Grosche - Geschäftsführer Web Labels
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