AI-powered Search

📖 Welcome to Boost AI Search & Discovery, where advanced AI technology transforms the way customers interact with your online store. Our AI-powered search engine is designed to understand and anticipate user needs, delivering fast, accurate, and personalized search results.

⚠ This feature only works with Boost AI Search & Discovery V2 & above. To find out which version of our app you are using, please follow this article.

Advanced AI-powered Search

Our advanced AI search feature utilizes the power of Natural Language Processing (NLP), a branch of artificial intelligence that focuses on understanding the complexity of human language by adding structure and meaning to unstructured data. In the case of our app, this unstructured data refers to user search queries, which is critical for understanding the intent behind a user's search query and extracting the necessary information to provide the most suitable products for them.

The advanced AI-powered search feature includes several key features that help improve the accuracy and relevance of search results for e-commerce stores. Among these features are

Name Entity Recognition
AI Semantic Search
AI synonym
AI Suggestion
Typo Tolerance
Product Performance Ranking
Search Personalization

Name Entity Recognition

Name Entity Recognition involves identifying different attributes of a product, such as color, size, and price, and extracting them from the user's search query. By analyzing these attributes, we reap the benefits of:

Enhances search functionality and accuracy, helping customers find products faster
Improves product discoverability and categorization, boosting user experience and potential sales

Here is an example that demonstrates how our AI model can detect and extract the different attributes of a product when a user enters a search term.

AI Semantic Search

Semantic Search revolutionizes the way data is retrieved by tapping into the power of intent and context embedded within search queries. By deciphering the user's needs, Semantic Search:

Delivers search results that match the user's actual intent, significantly improving the shopping experience
Continuously optimizes search accuracy and relevance through machine learning, adapting to user behavior and preferences

For instance, if a shopper is looking for "women's white sneakers for climbing $30-$50" they have specific requirements in mind. Our engine analyzes the search query and filters the results based on the user's specified criteria:

Color: white
Style: Sneakers for women
Intended use: Used for climbing
Price: A price range of $30 ~ $50

By doing so, the engine can present a variety of women's sneakers that match the user's specific needs and preferences, including high-top sneakers, trail running shoes, cross-training shoes, and more, designed for climbing activities or outdoor activities, available in white, and priced between $30 and $50. The AI's ability to understand the user's intent and locate suitable products enhances their search experience by making it more efficient and effective.

You can read more about how Semantic Search is applied to your search engine here.

AI Synonym

We have integrated an intelligent system that recognizes and processes synonyms and variations within user search queries, enhancing search result accuracy and relevance. Our model analyzes these data sources to identify patterns and relationships between different search terms and processes various possible representations of a word to generate relevant synonyms. By incorporating this feature into our search system, we can:

Increases search flexibility, allowing customers to find products using diverse terminology
Boosts the likelihood of product discovery, potentially increasing sales and customer satisfaction

You can read more about how AI Synonym works in our search here.

AI Suggestion

A feature that helps enhance the search experience by continuously suggesting keywords based on users' behaviors, preferences, and past interactions.

Benefit for merchants:

Increase sales and orders: by automatically suggesting relevant results, this potentially boosts conversions for the store

Benefit for shoppers:

Save time and effort: Reduce the need to search extensively for products, especially when in the Instant search widget, users can quickly find their relevant results

Typo Tolerance

Typo tolerance is a feature that allows a system to recognize and correct typing errors made by users. Typo tolerance is fundamental to modern search experiences by reducing frustration caused by small typing mistakes. It can save time and effort for users who may not have realized they made an error and can improve the accuracy of search results. For example, if a user misspells a word in a search engine, the search engine will suggest the correct spelling or provide results that match the intended word.

You can read more about how typo tolerance is applied in our search here.

Product performance ranking

A dynamic ranking system that adjusts product display order based on key performance metrics like conversion rate, add-to-cart rate, and click-through rate. Some benefits provided by this ranking system are:

Prioritizes the visibility of high-performing products, enhancing sales opportunities
Adapts to real-time consumer behavior, ensuring the most relevant and appealing products are highlighted

You can read more about Product Performance Ranking here.

Personalized Search

Search Personalization encompasses the practice of customizing the shopping experience for individual users through the provision of personalized product recommendations and tailored search results. This approach personalizes the browsing journey for each user according to their behaviors, preferences, and past interactions. Benefits of a personalized search:

Increases customer engagement and loyalty by providing a personalized shopping experience
Boosts conversion rates and sales by showing customers products more aligned with their interests and past behavior