Build an AI Agent Assist on top of Floatbot QnA (Cognitive Search) to help your human agents discover answers to customer queries. Solve customer issues faster, boost agent productivity, increase customer satisfaction (CSAT) scores, and reduce MTTR (Mean Time To Resolve).
Deploy conversational AI Chatbots and Voicebots powered by cognitive search to automate customer support, helping customers to discover and access FAQs and information related to your products and services. Enable self-service, provide 24x7 customer support, and reduce support costs.
Deploy Cognitive Search on top of enterprise search to enable your employees to discover and access relevant information accurately. Help new employees become comfortable with the organizational knowledge base and accelerate the training process.
Instead of searching for keywords, Floatbot QnA performs a semantic search. For example, if you search "What is Cognitive Search?" and then search "How does it work?" Here, Floatbot QnA understands that "it" in the second query is referring to "Cognitive Search" from the first query
Cognitive search leverages Floatbot's advanced NLP (with proven 95%+ accuracy) to enable users to perform a search in natural, human language instead of using a combination of keywords. It enhances user experience
Fuzzy matching finds matches corresponding to queries that are not 100% accurate. It takes care of misspellings or scrambled words. For example, if you search for "intrst rate maximum, " the fuzzy matching algorithm will understand that you're searching for "Maximum interest rate."
Floatbot QnA uses advanced unsupervised leading models to self-learn continuously. It helps the user to discover accurate, personalized answers based on search history. Also, Floatbot QnA self-trains itself from unstructured datasets.