{"id":374086,"date":"2023-11-03T06:56:15","date_gmt":"2023-11-03T06:56:15","guid":{"rendered":"https:\/\/webinterpret.com\/blog\/artificial-intelligence-ecommerce-translation"},"modified":"2026-06-19T14:10:43","modified_gmt":"2026-06-19T14:10:43","slug":"artificial-intelligence-ecommerce-translation","status":"publish","type":"post","link":"https:\/\/webinterpret.com\/en\/blog\/artificial-intelligence-ecommerce-translation","title":{"rendered":"How AI revolutionizes ecommerce translation"},"content":{"rendered":"

Ecommerce & machine translation<\/h2>\n

Artificial Intelligence<\/strong> denotes the simulation of intelligent behavior in machines so that more and more complex tasks can be performed by machines with less human supervision.<\/p>\n

Machine learning is a subset of AI: algorithms are used to break down data, learn from it and make predictions. This way, machines can be trained to perform specific tasks.<\/p>\n

Let’s focus on international ecommerce<\/strong>. At present online sellers have to do a great deal of manual work, matching product categories, attributes, sizes and so forth.<\/p>\n

However, thanks to a big data analysis<\/strong> and AI, most of this product tagging can be carried out on a larger scale. A simple raw description will be enough for AI to accurately localize the whole content, map the right category, extract attributes or convert sizes<\/a>.<\/p>\n

At Webinterpret we\u2019re focused on machine learning<\/strong> and machine translation<\/strong>. We\u2019ve learned from experience their\u00a0benefits.<\/p>\n

Previously we\u2019d use humans to convert sizes from one country to another. This resulted in a lot of critical errors due to human mistakes despite the fact that we hire professional, well-trained translators.<\/p>\n

After we taught the machine to convert sizes based on brands, we no longer had errors. Size conversion accuracy and quality grew by leaps and bounds.<\/p>\n

Automation is a big benefit for retailers who want to spend less time on managing their catalog and more time on developing their business strategy and delivering great buyer experience.<\/p>\n

FREE download: AI seller tools<\/a><\/p>\n

\"FREE<\/a><\/p>\n

Ecommerce automation takes brains<\/h2>\n

Automatic solutions may seem simple and work “automatically”, but creating a good, reliable automatic solution is an extremely complex process.<\/p>\n

Patrick Smarzynski<\/strong>, Co-Founder at Webinterpret, has worked with ecommerce technology for over 15 years. In his interview on ecommerce trends<\/strong><\/a>, Patrick stresses that automation isn\u2019t a straightforward task. Specific rules and exceptions must be recognized by machines.<\/p>\n

For example, machines shouldn\u2019t translate brand names. Otherwise, the translation process may produce hilarious effects when, for instance, the brand “Apple”<\/strong> gets translated into the name of a fruit in a given language.<\/p>\n

The role of AI is to teach the tool to recognize this and prevent faulty translation.<\/p>\n

To account for such specificities, we need a human brain<\/strong> that will teach the machine to perform the task correctly in an efficient, correct and accurate way. Then we can benefit from the machine\u2019s speed and consistency.<\/p>\n

So to have it all for optimal ecommerce translation, we need both machines AND humans.<\/p>\n

According to Patrick,<\/p>\n

It is humans that have knowledge and do the thinking, but it is machines that are fast and more consistent. Technology combined with the human touch can produce amazing results.<\/p><\/blockquote>\n

Further, the machine must identify the right word\/s to produce an optimal listing translation. To do so, it\u2019s not enough to simply recognize words and phrases and combine them.<\/p>\n

At least not if the expected end result should include keywords that will sell the product<\/strong>.<\/p>\n

Consider this. We can very often use more than one word to describe the same item, e.g. trousers and pants.<\/p>\n

And here\u2019s the deal.<\/p>\n

The word you decide to use may make a huge difference when it comes to your conversion rates.<\/p>\n

Simply because in some contexts online buyers, searching for the same product, are more likely to use the word “trousers”. In other contexts, “pants” may be the winner.<\/p>\n

Ecommerce data analysis helps to establish which keywords will maximize the possibility of selling a given product.<\/p>\n

\"international-ecommerce-seo-keywords\"
Keywords that you use in your product listings matter.<\/figcaption><\/figure>\n

 <\/p>\n

Of utmost importance are titles<\/strong>: these should include searchable terms on a given platform. We use big data techniques to examine millions of titles to check how words\/synonyms correlate with revenue.<\/p>\n

According to our findings,<\/p>\n

Selecting the right words can double the number of transactions.<\/p><\/blockquote>\n

The bottom line:<\/p>\n

Literary descriptions of your product will not<\/strong> guarantee successful sales. Some buyers may flinch at lengthy, full-sentenced descriptions without bothering to read them! It truly is product attributes that are most essential.<\/p>\n

Buyers are not looking for great product descriptions, but great product offers. Clearly listed attributes and right keywords are the core of optimal ecommerce translation.<\/p>\n

Ready to sell more online in 2024?<\/a><\/p>\n

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Webinterpret\u2019s AI-based translation solution<\/h2>\n

Webinterpret uses an AI based, natural language processing solution and autonomous machine-learning to deliver affordable, automated human-quality translation.<\/p>\n

We fully embrace AI technology<\/strong> to minimize operational time and cost while providing our clients with a high-quality, domain-specialized localization process.<\/p>\n

Using a plugin, we connect to your marketplace account. We then extract your product categories, titles, descriptions and attributes.<\/p>\n

The localization process starts with:<\/strong>\"ecommerce-translation-localization\"<\/p>\n