Solutions for e-commerce
based on machine learning.
based on machine learning.
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Typical tasks of online store editors are to publish products in the right categories on the site and assign properties and characteristics to products.
It depends on their work, whether the buyer will find a product in the right category or by the right filter on the site.
It depends on their work, whether the buyer will find a product in the right category or by the right filter on the site.
A frequent problem faced by large online stores is the slow work of the editorial staff. If the editorial office has time to process less goods than it receives from the supplier, it forms a queue of goods that are not visible in the categories on the site, and therefore are not sold.
Thus, sales directly depend on the speed and quality of work of the editorial office.
Thus, sales directly depend on the speed and quality of work of the editorial office.
Our e-commerce solutions based on machine learning allow you to speed up your editorial work up to 10 times.
Let's talk about your business tasks. Fill in the form and we will contact you today.
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Automatic categorization of goods
If you sell millions of SKUs from thousands of suppliers, you must have a team of moderators who publish each product in the right category on the site.
Moderators look at the picture of the product, read its description and choose the right category on the site.
Our solution automates and accelerates the work of moderators up to 10 times with the help of machine training: tagging and classification of goods is automatic.
Moderators look at the picture of the product, read its description and choose the right category on the site.
Our solution automates and accelerates the work of moderators up to 10 times with the help of machine training: tagging and classification of goods is automatic.
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