Mentioned in 26 AI use cases across 11 industries
Teams can preview how personalization changes rankings for a specific shopper and query before turning it on for everyone.
As a person clicks around right now, the system updates what it thinks they want and reorders recommendations on the fly.
The retailer used customer shopping history and product details to send each shopper wine suggestions and marketing emails that felt more like advice from a knowledgeable store associate.
An AI assistant can help users find the right sport, game, or betting option from a large catalog instead of making them search manually.
Show each shopper the version of a product they’re most likely to like, such as their preferred color, while keeping only one version of that product visible in results.
A retailer turns personalization on in platform settings instead of changing app code every time, making it easier to test whether personalized search performs better.
Gymshark uses AI to suggest products shoppers are likely to want, helping people find relevant items faster during Black Friday traffic spikes.