diff --git a/qdrant-landing/content/blog/case-study-alhena.md b/qdrant-landing/content/blog/case-study-alhena.md index 39fecc235..67182f05d 100644 --- a/qdrant-landing/content/blog/case-study-alhena.md +++ b/qdrant-landing/content/blog/case-study-alhena.md @@ -26,7 +26,7 @@ tags: ## Building AI agents that drive both revenue and support outcomes -[Alhena AI](https://alhena.ai/) is redefining the ecommerce experience through intelligent agents that assist customers before and after a purchase. On the front end, these agents help users find the perfect product based on nuanced preferences. On the back end, they resolve complex support queries without escalating to a human. +Alhena AI is redefining the ecommerce experience through intelligent agents that assist customers before and after a purchase. On the front end, these agents help users find the perfect product based on nuanced preferences. On the back end, they resolve complex support queries without escalating to a human. To deliver this experience, Alhena must combine natural language understanding, context-aware retrieval, and high-performance infrastructure. That means building agents that are not only fast and accurate, but also scalable across customers with vastly different catalogs and architectures.