Conversational AI with sentiment analysis
In this paper we are going to see how Aivora has contributed to increase Benigar’s business turnover, with reduced management costs, reinforcing the human team and building customer loyalty while attending 100% of the dealer’s after-sales service overflow calls.
We will see a complete analysis of the volume of calls received, the management of duplicate and unanswered calls, the types of calls and the sentiment analysis technology.
Keys to success
- We have handled up to 38% more calls with revenue potential
- Reduced unanswered calls by 17%
- Reduced duplicate calls by 10%
- Significantly increased loyalty
Conclusions
Aivora successfully receives 100% of calls and prioritises them based on business objectives, taking into account customer urgency, reducing duplicate calls, handling more productive calls, gathering information on what the customer needs, while reducing management costs associated with external call centres.
This means more revenue in Aftersales and other departments, greater automation of customer care processes, significantly improved customer loyalty and greater effectiveness of your resources.