If you manage an e-commerce, you already know how difficult it can be to organize and classify all the products you have for sale.
Managing thousands of product references can be complicated.
Especially when it comes to determining which category each product falls into and how to group them in order to present them to your customers in the most efficient way possible.
As a rule, this task is a huge drain on time and therefore money.
So we have proposed to help you sort your products effectively, using simple artificial intelligence tools.
Below, we’re going to reveal how you can in just a few minutes sort a hundred products and improve your customers’ shopping experience by presenting relevant products to them faster and more accurately.
Please read on:
Automated product sorting – what do you need?
To carry out this automated tagging process, you don’t need to know Python, or even master complicated programming languages.
You just simply need to use the Google Colab file that we have prepared for you, which you can download below in this article, along with two CSV files, where you must upload the information as described.
One of these files should contain the list of products, and the other with the list of categories you want to assign to them.
Finally, and of course, you will need to have an OpenAI API Key to use the Da Vinci model.
Script functions to classify articles into categories
Before you start, you should know that this process can be rather demanding in terms of token consumption.
In order to classify each of the products in the different categories, approximately 100 tokens can be consumed. We must not lose sight of the fact that 1000 tokens cost $0.020 for the Davinci model:
So for this price we can catalog about 500 products.
Make your calculations carefully and bear in mind that these prices are subject to change.
If you want to check the current prices, here is the URL: OpenAI prices
Unlike other scripts that can help you with this task, our script adds the following features:
- You can upload items and categories of your online shop without having to adapt to a classification.
- We will specify e-commerce type to increase reliability of the results obtained.
- Allows you to limit the number of queries per minute to avoid crashes.
- It performs an iteration for each product in the list and classifies them in the categories we have defined in .csv files.
In the video, you can see how we have classified a list of references of trainers in different categories:
Steps before running the script for keyword clustering:
Download the .csv files of products and categories that we have prepared in the download section and save them on your computer as they are without changing anything.
Next, insert your list of products and categories, respecting only the first cell with the title.
This is important, because in the script we will execute a call and if the name of the file we upload is not exact, it will not be resolved correctly.
Finally, insert your OpenAI key, and you will only have to execute each of the blocks hastily.
How to organize products by category
Ok, now let’s summarize the steps you need to follow to make everything work correctly:
- Download the Google Colab file and make a copy in Google Drive, so you can make all the modifications you want and keep your API Key secret.
- Install dependencies and necessary libraries using Control + Enter command or by clicking on the run button.
- Upload files that we have previously created with our products and categories.
- After the installation of dependencies, our files will be read.
- We indicate the type of e-commerce as well as our OpenAI key.
- We will limit the queries so as not to exceed the limits of the OpenAI API.
- Iterate on each product and assign it a category.
- We have one last step, where the result is saved in a .csv file and allows us to download the file of classified products in .csv format.
Don’t worry if it is not clear to you. We have prepared this video, so you can see exactly what you have to do:
What is AI product classification?
Artificial intelligence (AI) product classification is a technique used in e-commerce to automatically categorize products into different categories.
It is therefore an advanced data classification technique using machine learning algorithms. In this way, it is possible to analyze large data sets and automatically classify them into different categories.
Why is it important to classify products in the right category in e-commerce?
Categorizing products in the right category is crucial for the success of an e-commerce business.
Proper categorization has several advantages:
- It allows users to quickly find the products they are looking for.
- It improves the user’s shopping experience.
Thus, you can achieve one of the main goals of any e-commerce: to increase sales.
In addition, proper categorization of products facilitates improved search engine optimization (SEO), which results in increased visibility and traffic to the website.
Advantages and disadvantages of current data classifiers
Current data classifiers have advantages and disadvantages.
Among the advantages is the ability to sort large data sets automatically.
However, data classifiers can also have their limitations, such as the ability to miss categorize products based on specific variables and attributes, such as color or size.
This is something they do not yet solve well.
Benefits of AI and Machine Learning applied to Data Classification
The use of AI and machine learning in data classification offers numerous benefits.
Firstly, both can improve the accuracy of product classification.
In addition, they are able to analyze large data sets quickly, saving time and human resources.
Finally, AI and machine learning can also identify patterns and trends in product classification, which can help improve marketing and sales strategy.
AI and Machine learning applied to Information Classification
AI and machine learning are also applied to information classification in different fields, such as financial data analysis and document classification in digital libraries.
Both help to identify patterns and trends in large datasets and automatically classify them into different categories.
This can improve the efficiency and accuracy of information classification.
Use of artificial intelligence for automated product classification
The use of artificial intelligence for automated product classification can significantly improve the efficiency and accuracy of product sorting in e-commerce.
However, it is important to note that it is not perfect and may require periodic manual adjustments to ensure consistent accuracy.
Even so, AI product classification is becoming an essential tool for any e-commerce manager looking to optimize their product catalog and improve the user experience.
The correct classification of products into appropriate categories not only makes it easier for customers to find and select products, but also allows business owners to more efficiently manage their products and increase their visibility in search results.
Although there are some challenges and limitations in current data classifiers, the implementation of AI and Machine Learning can be very beneficial in improving the accuracy and efficiency of data classification.
Ultimately, AI and Machine Learning are valuable tools to automate and improve information classification, which in turn can increase efficiency, productivity, and user satisfaction.
Do you want to improve your customers' experience when browsing your ecommerce? An effective way to do this is by sorting your products in clear and relevant categories.
Classifying products in the right category will not only improve your website’s search engine rankings, but will also help your customers find the products they are looking for more quickly and easily.
Our team of artificial intelligence experts will help you get fast, quality results. Contact us today for more information!