Personalization Glossary

A/B testing? Recommendation models? The personalization engine space uses several acronyms that may seem daunting, so we're here to help. You can find definitions to the most common e-commerce customer experience optimization terms here!

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AI Tagging

AI Tagging uses artificial intelligence (AI) technology to automatically identify and tag products with relevant keywords, descriptions, and attributes. Retailers can then use the generated product tags to improve the accuracy and relevance of product search results, enhance product recommendations, and streamline the online shopping experience for customers.


Benefits of AI-powered Product Tagging:


AI-powered product tagging saves time and reduces manual effort. It automates the tagging process, eliminating the need for manual input of tags and descriptions, and allowing businesses to focus on other areas of their operations.

Accurate tags

Automated Product Tagging is more accurate than manual tagging, reducing the risk of errors and inconsistencies. These tags ensure customers are presented with relevant and accurate search results, comprehensively enhancing their shopping experience.

Improved Search Results

AI-powered product tagging can help improve the accuracy of search results by ensuring the tagged products have the most relevant keywords, descriptions, and attributes. With this, customers can easily find what they are looking for, increasing their likelihood of purchasing.

How does AI Tagging work?

This technology leverages machine learning algorithms to analyze product images and extract essential features such as color, texture, shape, and size.

For example,’s  Product Tagging solution uses data extraction and data prediction to enhance product data. With AI, it extracts and enriches product data from structured or unstructured visual and textual inputs. The automated process is instant, learns from feedback, and can learn customized tags. It helps save manual effort, time, and resources.

Retailers can use AI-powered product tagging to improve the accuracy of product search results, allowing customers to find the exact products they are looking for easily. Product Tagging can lead to increased customer satisfaction, loyalty, and sales.

E-commerce businesses can use Product Tagging to improve product recommendations by identifying related products and suggesting them to customers. With AI-powered tags, eCommerce businesses can increase the average order value and enhance the overall customer experience.

In conclusion, Product Tagging is a valuable technology tool for businesses looking to improve the accuracy and relevance of their product tagging processes. By automating the tagging process, AI technology can save time, improve accuracy, and enhance the customer experience.

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