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In the ever-expanding world of e-commerce, staying ahead of the competition is crucial. Ensuring accurate product categorization is not only a daunting task but also a vital one for success. This task can be particularly daunting, especially in significant marketplaces with over 10,000 categories. Determining the correct category for a product becomes increasingly complex, especially if you have a diverse inventory of 100 or more items that could potentially belong to various categories.

That's where T4MP (Tool for E-commerce) comes in. Our revolutionary tool has been specifically designed to simplify and enhance the process of categorizing products, providing our clients with a powerful advantage in the marketplace.

How can T4MP benefit your business?

Imagine the time and effort saved when you no longer manually assign categories to each product in your extensive catalog. T4MP's machine learning algorithms are trained to accurately categorize items based on their attributes, reducing human error and optimizing efficiency. With our tool, you can streamline your operations, improve the discoverability of your products, and deliver a superior shopping experience to your customers.

How does it work?

Our process begins by gathering data from your existing categorized products or directly from the marketplace. If data is unavailable, we can assist in collecting the necessary information to initiate training. Once the training phase is complete, our model leverages its knowledge to provide highly accurate categorization for new products. Our system becomes increasingly refined by continuously learning from user feedback and incorporating real-time updates, ensuring the best possible categorization results for your unique inventory.

If we look at the process as a step-by-step journey, it will look like this:

  1. We gather data from our clients or marketplaces about the products that are already categorized.

  2. If such data is unavailable, we can attempt to collect it ourselves. Typically, for the initial training of our model on a new catalog of categories, we require around 10 product examples from each specific category.

  3. Next, we initiate the model training process, whose duration depends on the number of categories and the data in the training set. Typically, this process takes around 1 to 2 days, provided that the data is properly curated and verified to ensure there are no significant errors.

  4. Common errors in the data include products listed in incorrect categories. This often occurs when there have been changes to the catalog, and some items were not properly assigned to their new categories. Errors can also arise from incorrect product categorization. Important note: According to our data, category errors in large e-commerce platforms account for 20% of all products, which is a significant number.

  5. Once the pre-trained model is ready for use, it accepts inputs such as the product name, type (if available), and the first product image for categorization. It then provides a list of categories that best suit the specified product. In cases where categorization is ambiguous, we offer multiple options for the user to choose from.

Can the model make errors in product categorization?


Unfortunately, yes. This can occur due to insufficient data in the training set. In such cases, we ask users to provide us with the correct category for a specific product, and we can perform real-time retraining of the model using the obtained data. This means that the model will deliver accurate categorization for subsequent products.

It's worth emphasizing that this process relies on active feedback from users.

At T4MP, we pride ourselves on delivering exceptional results. Our system achieves a remarkable 98% accuracy and precision in product categorization. This performance places us at the forefront of the market, providing our clients with an unparalleled level of confidence in the categorization process. With T4MP, you can trust that your products will be accurately classified, enabling seamless navigation and enhancing the overall shopping experience for your customers.

Experience the T4MP Difference:

Don't settle for subpar categorization tools that generate errors and inefficiencies. T4MP stands out as the leading solution in the market, offering unmatched accuracy and advanced machine-learning capabilities. We invite you to experience the T4MP difference and witness its positive impact on your e-commerce operations. Get in touch with us today and discover how our tool can revolutionize your product categorization process.

Take the first step towards achieving real results with T4MP. Contact us now and unlock the potential of accurate and efficient product categorization for your business.

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