AI search engine that sells
Use it in your ecommerce business to increase sales
AI search engine that sells
Why a simple search engine isn't enough
See how we helped Lagardère Travel Retail
Understanding typos and synonyms
Up to 30% of visitors leave an online store when they get no results after typing a phrase into a search engine. That's why it makes sense to use an AI search engine that improves the relevance of results and makes it easier for users to find the right product, even if the query is vague or misspelled.
Understanding typos and synonyms
Automatic suggestions
Automatic suggestions
Handling zero results
Handling zero results
Data monetization
Data monetization
Search engine A/B testing
We implement a series of tests designed to examine the effectiveness of different tactics and enable the selection of the optimal search rules. Studies show that optimization through A/B testing can increase conversions by up to 50% (Monetate).
Search engine A/B testing
Search result personalization
Search result personalization
Deep navigation (filtering) by any attributes
Deep navigation (filtering) by any attributes
Sorting products according to customer needs
Sorting products according to customer needs
Promoting no-code products
You can promote any product at the top of search results, both for general queries and for specific user segments. This means you can highlight products based on the current needs and preferences of specific groups, increasing your chances of boosting sales. This tool gives you control over how your products are displayed and allows you to customize them to meet your current marketing goals without the need to code.
Promoting no-code products
Cross-device user search history
Cross-device user search history
Hints - the most searched and gaining popularity
Hints - the most searched and gaining popularity
Search analytics
Search analytics
Searching by image
This innovative feature allows you to find visually similar products. The system analyzes the uploaded image and uses advanced algorithms such as shape, color and texture recognition to find products in the assortment that have similar characteristics. This allows users to easily locate products based on appearance. It is especially useful when they have a specific item but do not know its name or description.