Search results and recommendations based on the given context
Ensure that you present alternatives on product detail pages that are more likely to convert. Otherwise they are useless or become a harmful distraction in the user journey.
Algorithms that make use of your CRM, personal preferences, previously purchased items and items that overlap with known preferences of a customer segment will improve your e-commerce ROI.
Artificial intelligence, your way: search and recommendations
View personalized product recommendations within 200 ms, calculated over 100.000+ items, tens of millions of order lines and hundreds of thousands of customers. Our engine is powered by state-of-the-art column store database technology that is fast and reliable.
Benefit from having the most up-to-date technology at your fingertips without bothering about hosting or administration.
You don't have to worry about performance or scalability, we take care of that.
Get full control over the user journey by combining building blocks that perform various operations on the knowledge graph: searching, filtering, ranking, transforming, matching, etc.
With the integrated test functionality you continuously assess the results of your evolving project, enabling you to iteratively design the perfect solution to your search problem.
The best thing is: You don’t need senior developers to use this low-code technology! Thanks to the visual drag and drop editor, tech-savvy business users are able to create and roll out the search index within a week.