AI Powered Voice Search

The Problem

According to a report by PwC, 71% of consumers would prefer to use voice search instead of typing the query out manually. Voice search is gradually gaining dominance and is now used in Cars, Smartphones, Speakers, TVs, Smart Home Devices, Wearables, Appliances and more. How easily can an organization adopt and integrate voice search capabilities into its products and services?  

Solution

NLP models deployed on Kranium can be used to easily convert speech to text. Additionally machine learning models can be trained to provide meaningful and relevant responses to users’ queries. Also such models enable human-like interaction between users and systems. For instance, instead of the user searching for “restaurants near me”, users could asks the system “where should I get dinner tonight?”.