Semantic clustering

Semantic technology uses NLP to understand the meaning behind your customer’s words. In a very similar way, Inbenta Semantic Clustering helps you understand the demands of your customers.

It works like this:
Semantic clustering groups semantically equivalent search queries — words, phrases and sentences — into clusters based on meaning, while also extracting and analyzing hundreds of thousands of comments across the internet. Together, these two processes cover more than 90% of all user queries — a strong foundation for insight into the needs and wants of online customers.


Shoppers leave valuable data from their visit

Your customers come and go, yet they always leave behind valuable new data to consider. At Inbenta, we love to focus on data surrounding questions, which is why we created the semantic clustering tool.


Insights that help guide the next customer

Once the semantic clustering tool has gathered and clustered all the search queries and internet comments, it then aggregates your customers’ newest questions and creates answers for future customers who have the same or similar questions.


AI with an answer for everything

Once these new questions are found, we create the most likely phrases for the search scenario and match them to all available answers, or we create new responses if need be. From there our AI-fueled semantic search technology does the rest. The more new questions that are asked, the more intelligent answers can be.


More great benefits of semantic search

Not only does semantic search create answers easily, it also cuts down on redundant questions so you can understand customers better than ever. All told, this powerful tool will provide crucial feedback on your content, campaign performance and delivery system, which you can use to customize your FAQs to offer even more targeted answers to their questions. And maybe, even before they ask.