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Automatic Product Tagging in Fashion Explained

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Published on

January 10, 2020


The number of companies that can profit from their own e-commerce platform is huge—from startups and small businesses to big corporations. An e-commerce website is a perfect place where they can market their own products or services.

The shoppers of today are looking for comfort. They don’t want to go to the crowded shopping streets to shop anymore. Instead, they want to shop from their own homes, in just a few minutes, which makes e-commerce the perfect solution. 

That’s why e-commerce is growing rapidly and is expected to reach $4,058 billion in sales in 2020. This also means that the number of products available for e-commerce shopping is also growing, making it difficult for store managers to have control over everything that’s going on in their e-commerce stores.

Tagging products is one of the solutions to this problem. It improves the complete organization of the product catalog and makes products more relevant when they have the correct keywords as their tags. The manual product tagging system, however, may be very inefficient, especially when there’s a large number of products.

Automatic product tagging is an alternative to manual product tagging. Automatic product tagging is a method that uses AI algorithms to organize and tag photos of the product based on their details. The advanced image recognition algorithms that leverage deep learning make the tagging process automated and performed efficiently without the need for human intervention.

The automatic product tagging process automatically generates metadata for catalog assets. It scans the image and identifies patterns within that are linked to particular keywords. 

As their use gets more frequent, tags created this way can collect data not only about the catalog data, but also about how and where they’re being used, who is searching for them, and how they correlate to other tags. 

One product image can have various tags. For example, if an online retail store has an image of a red skirt, the machine learning technology will attach tags like “midi”, “A-line”, “streetwear”, “red skirt”, etc. This way, people who are looking for both a midi-length skirt and a red skirt could find this image. At the same time, this eliminates a considerable amount of effort and store managers only need to accept these automatically generated tags through one click.

red sweater with attributes and tags

Why Is Automatic Product Tagging Important?

Among various AI-driven products in the retail market, the automated tagging technology has become one of the most important technologies. This technology can recognize items in moving images, videos or to say any kind of visual content. 

The visually-intelligent system of auto-tagging engines can extract multidimensional attributes. This takes the customer experience on a higher level and increases sales volumes. At the same time, it can help the creation of a shopper persona for every customer, which enables online retail managers to get a better insight into who their shoppers really are. 

Automatic product tagging makes the e-commerce website more personalized. Every click on a tag makes the system aware of the different expectations of shoppers, which, paired with the data-driven historical behavior, gives the right answer to the question: “What does the shopper really want to see?” It allows the customization engine to be much more efficient and precise when reading the purpose of the shoppers.

Automatic tagging is crucial in generating better personalized recommendations. The technology gives more content to the products, giving the personalization system information about what kind of products the users like. This info comes from the combination of the shopper’s search history and the tags. This is valuable data that isn’t available when the products aren’t tagged. 

What Do You Get?

  • Clean catalogs. You can enhance catalog management processes with accurate and rich tags associated with your products. The engine automatically generates descriptive tags that can improve the way your online retail store is searching for items, discovering the perfect products for your shoppers.
  • Time-saving. Having an automatic product tagging feature replaces the long process of manual product tagging with visual AI. This engine can process hundreds of images in just one second, saving time and improving the efficiency of product catalog management.
  • Valuable insights. Having rich descriptive tags on your products can help you understand the intents of your shoppers while they’re shopping on your e-commerce website. If you are a fashion store, product auto-tagging can discover the styles, colors, and items that they like. 
  • SEO Optimization. Providing keyword-friendly tags to other content-rich areas of the online retail platform, making tags accessible and, most importantly, clickable for visitors will improve the website's SEO. The more valuable a product image tag is, the greater its ability is to appear in a search result that is relevant.
  • Increased Sales Volumes. With automatic product tagging, customers can get to the products they want or need more easily. Sometimes, the product they want can be unavailable, so they leave the store thinking that there’s no other alternative. Product tags can reduce these losses by encouraging the consumer to choose from a wide range of related products that can be an alternative to the unavailable product. This can make shoppers spend more time on the e-commerce store and spend more. 



Product tagging is essential for an efficient e-commerce store. A properly tagged catalog is very important for the value chain of the store. Thanks to the automated workflows, store owners profit from the decreased costs. It also allows consumers to properly get a better overview of the products they want, leading to more precise searches.’s automatic product tagging engine can help you get a clean catalog, improve your SEO ranking, and increase your sales volumes by scanning your entire product catalog in just a few seconds.


Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.