Your employees don't always know exactly what they're looking for, so sometimes they struggle to use the right search terms, wasting effort and time. In fact, by some estimates, enterprise employees spend about two hours a day trying to find the information they need to do their jobs. Imagine what they could accomplish if they could reclaim that time. Providing suggestions that start with a keyword or phrase with an autocomplete tool is a start, but often falls short because typeahead technology only provides suggestions that start with a keyword or phrase. SearchAI SmartSuggest, on the other hand, uses artificial intelligence (AI) to offer complete phrases associated with the keyword or phrase.

What is an autocomplete or autosuggest feature in search? Autocomplete or autosuggest uses the partial search terms that a user is typing in to complete the rest of the search query so the user can simply click to search from a drop down box in the search form. What are the challenges with autocomplete/autosuggest? Autocomplete can use previous search queries or use content that has been indexed by the search engine to provide the completion suggestions, however there are several issues which provide a bad search experience: •Completion does not take into account where the search term occurs •No relevance ranking for the suggestions •May show incorrect results when search queries are used for completion •Content based suggestions may not be accurate for large documents/web pages/websites •Manual management of autocomplete is required in most cases How can SearchAI SmartSuggest predict better search queries leading to better search queries? SearchBlox SearchAI uses SmartSuggest to predict search queries that lead to more relevant search results. SearchAI understands the search queries and how they relate to the documents using deep learning based NLP processors that read through the content and understand how they are related.