SearchUnify’s algorithms blend user data, machine learning and natural language understanding to learn on the go and present the most relevant results
Deliver the most relevant results to your users with AI that takes into account behavioral analysis, synonyms, click-throughs and page rating to push query-resolving content to the top of the search results page even if the keywords do not match.
Take personalization to the next level with search-powered recommendations that leverage ML to adapt to a users’ search behaviour to recommend content that resonates with their interest and the level of experience they have with the product.
Give your users another medium to harness the power of search with AI-powered chatbots built on the same intelligence as your search engine. The bot powered by NLU and search insights can understand the intent behind a message or a question, to personalize conversations based on a user’s behavior & search history.
Inform your archiving strategy with an in-built content duplicacy checker that leverages NLP to identify similar words including synonyms within your content pieces to help you discover duplicate content in your repositories.
Empower your support team with all the information they need to resolve cases faster and shorten mean-time to resolve a case. SearchUnify’s agent helper provides support teams with a 360 degree view of all the information an agent might need to resolve customer queries similar to the one they have just received including information like top articles, SMEs and similar cases.
Harness the power of AI to identify intent faster with a search engine that classifies queries as a question or information. For example, if the engine detects that the user has asked a question, the result that shows up can be a featured snippet with detailed points on how to resolve the query without the user having to click on the article.
Make sure the correct result is delivered every time with a built-in auto-synonym factory that takes into account historical searches and clicks to identify synonyms and possible errors in spellings when your users type in a query.
