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Product Categorization

Frinksyn delivers product categorization services by classifying and labeling all forms of user-generated content such as text, video and images.


Frinksyn delivers product categorization services by classifying and labeling all forms of user-generated content such as text, video and images. Product categorization involves using training data to train a model to predict the category of a given product. The amount of data required is highly dependent on the number of products that must be categorized and the diversity of the product catalog.


Product categorization, also called product classification, is the classification of products into different categories using natural language processing (NLP). Product categorization is both critical and challenging for the e-commerce industry. With the development of AI, companies are trying to apply machine learning to product categorization problems. To improve the user’s experience it is necessary to categorize products into product categories so that customers are able to find their desired products quickly and easily. Categorization typically requires knowledge of product data and product attributes to integrate into the model. Descriptive and comprehensive product titles, product information, and product descriptions are essential for getting a product classification model working correctly.


Product categorization is extremely important for the e-commerce sector. Through relevant new product suggestions, personalized recommendations, and query-understanding algorithms, companies can improve their user experience and increase their conversion rates and profitability. The key to solving the product classification system is obtaining a highly representative, labeled dataset.


Product categorization allows customers to find what they are looking for easily and in no time. Most users will not make a purchase on their first interaction with the website, they search for the best price or the highest quality offering. After comparing, they choose the site with the best price and most seamless shopping experience.


Search engine is the first element where users will interact with online shopping sites and well-organized sites have a significant impact on SEO ranking. Product categorization maps the site which leads shoppers to know where to find what they are looking for. It makes it easy for both people browsing on the store website and people searching on Google or other search engines to find the product.


Taxonomy categorization involves training a model to perform product classification in a hierarchical manner, i.e. one producing a taxonomy structure or tree with a root, middle nodes, and leaf nodes. For example, one might have the goal of categorizing cookware into increasingly refined categories such as Cookware -> (Pots, Pans) -> (Stew Pot, Sauce Pan), etc. Many types of products can be categorized into a taxonomy.


In machine learning, product categorization is a method of classifying products based on predefined parameters, making them easier to recognize for the users and improving search results.


To provide more efficient buying and selling experiences on online shopping sites, it is important for machine learning systems to understand relevant products for genders. Experts train the ML algorithm to predict gender.


Object categorization from image search is a challenging task where machine learning models are trained to recognize and assign specific objects to a certain category. This process is sometimes called generic object categorization.

Product Categorization Steps

  • 1

    Expert consultation

    Transformative, solution- based approach with a domain specialist.

  • 2

    Define the goal of the project

    We understand the requirement of project and planning.

  • 3

    Training and workflow customisation

    Targeted resources,Alignment of tools and processes.Two layer workflows.

  • 4

    Feedback cycle

    Real time monitoring and services, edge case insights.

  • 5


    Assessment of deliverable, quality control process, analysis of business outcome.

  • 6


    Submission of project and free rework if required.

  • 7

    Talk to An Expert

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