Innovative machine learning-based approach overcoming the usual limitations and high effort required by traditional approaches
High level of accuracy (ability to retrieve the right answer) close to the 90% on a daily basis, reachable after 1 month from the project kick-off
EVA Knowledge Base can be easily maintained and updated in a self-service fashion by the user
EVA Knowledge Base is easier to build and evolve compared to the traditional approaches, as it is mainly based on a list of answers it takes advantage of unsupervised learning techniques, thus reducing setup and training time
Thanks to the semantic and sentiment analysis tool, provided with EVA, it is possible to analyze and extract insights from the conversations with EVA to improve services and customer care.
Time and costs needed to run EVA in your company are under the average of the market. Moreover our innovative approach can dramatically improve the overall process efficiency deliver a faster and better support experience for the customer