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Why ecommerce product categorization?
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For online stores, product categorizations allows visitors to find products quickly and easily, improve search relevance on your website, leading to higher conversion rates.

In addition, product categorization API enables you to build better and more diverse landing pages, resulting in improved rankings on search engines and thus more customer visits.

Our Advantages

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We offer categorization of texts for an Ecommerce taxonomy with over 1100 categories.

You can enter texts or URLs of webpages to be classified.

We support classification of texts in English, German, French, Spanish, Portuegese, Japanese, Russian, Italian and many more languages.

Our ecommerce product categorization is available both as dashboard and as Product Categorization API. It is powering our other ecommerce platforms, including platform for searching online stores that are similar by product or by category.
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Clients

Over 600 clients have trusted the services of our company.
I am really enjoying the platform and I think you are doing some really innovative stuff.
Pedro
Thanks for excellent classifications and support.
Lingua Fachübersetzungen
This is great and absolutely what I was looking for.
Steve
I will absolutely endorse you guys and let people in my chat as well as my followers know how awesome this platform is!
Pete

Introduction to product categorization

Product categorization are methods that enable (usually automated) assignment of products to one or more pre-specified classes or categories.

Product categorization is most often used in ecommerce setting, e.g. for allowing clients easier search on online stores. It can also be used for other purposes, e.g. allowing classification of complete websites/businesses based on the categories of products that they are selling.

What are the possible ways of product categorizations?

There is no unique way of categorizing products. In fact, many e-commerce retailers use their own definitions, which are also called product taxonomies. Different taxonomies differ from each other both in categories used as well as in the number of Tiers or depth of their categorizations.

Here is an example of classification for a tube used in aquarium with Google taxonomy:

Animals & Pet Supplies > Pet Supplies > Fish Supplies > Aquarium & Pond Tubing

In this case, there are 4 Tiers available for the categorization of this product, from general ones like Animals Pet Supplies to a more detailed one - Aquarium & Pond Tubing.

When classifying this product with Facebook taxonomy, it would be a little bit different:

pet supplies > pet feeding & watering supplies

Why is product categorization important?

One important benefit is that it allows users to find desired products more quickly, thus improving user interface experience. This leads to higher satisfaction and higher probability that the user will return to the website and thus purchase again in a repeat business. Finding products quickly also means better conversion for the online store.

Another way that the UI experience is improved is if online store implements filtering based on products categorizations which is alternative way of finding products, as compared to search queries.

Moving on from on-site benefits, a significant advantage of product categorizations is its impact on search engine rankings. Categorization keywords improve the relevancy of webpages to the search engine ranking algorithms and may thus lead to higher rankings and more visits from search engines.

When online store implements a separate set of webpages where the products are listed grouped by categories, then these subpages will be indexed in search engines and represent additional ways for customers to find the website.

How is product categorization done in practice?

Due to sheer volume of products being available in online stores, e.g. Amazon sells over 12 million products, the process of product categorization is usually automated, by using machine learning or deep learning models.

Machine learning (ML) models are usually developed by training them on data set with labelled categories, as this task belongs to the supervised machine learning.

ML models itself are from the class of text classification models and can include many different ones: Support vector machines, Naive Bayes, Logistic Regression, Random Forests, Decision Trees, Recurrent Neural Nets, Convolutional neural networks and others.

Product classification database

In addition to free tool for categorizing products, one of our services is also the offering of product classification database, which is an offline database of 1+ million online shops classified in several Tiers, according to E-Commerce Taxonomy. Our product classification database can be used in many use cases: internal applications, Saas platforms, consulting and market reports/research. Please contact us for more information on our offline database.

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