La Mobilière's Customer Service team receives a large number of emails every day without having visibility or quantitative metrics on requests. The result is a fragmentation of internal processes and a consequent loss of efficiency.
The project developed with La Mobilière is a combination of technology, knowledge and collaboration. Classifying such a large number of e-mails on very technical subjects was not a trivial challenge, but with the use of state-of-the-art AI models we managed to achieve a high level of accuracy.
Our goal was to help La Mobilière handle customer enquiries more efficiently, saving time and effort for everyone involved in Customer Service activities. We created a system that classifies incoming requests, based on the collection of 1 million anonymous emails extracted from La Mobilière's databases. An automated service based on artificial intelligence to help classify incoming requests and emails, categorise them and process them in a more sophisticated way.
Anonymous e-mails analysed
Knowledge Base areas created
classes of responses that can be automated by our AI technology