FAQ on Speech Analytics Implementation

[jakariabd@]

For what purpose was SalesAI speech analytics implemented?
Autostrong sought to improve the work of the call center, where the assessment of call quality previously took from a week to a month due to manual listening to recordings. Faster and higher-quality feedback was required to employees in order to promptly adjust their work and improve sales efficiency.

Why was the decision made to implement SalesAI speech analytics?
The decision to implement SalesAI speech analytics was made based on three factors:

Necessity - there was a need to speed up uruguay mobile database call analysis and reduce costs for quality assessment.
Opportunity - Having learned about SalesAI at a meeting with colleagues from Avito, the company saw the potential in automating the process of listening to and analyzing calls.
The team's curiosity and enthusiasm for new technologies such as artificial intelligence and chatbots prompted the company to try the tool.
Were there any concerns before implementing speech analytics?
Yes, concerns were related to the possibility of successful implementation and the timing of achieving the first results. There was an understanding that the use of artificial intelligence and machine learning would bring qualitative changes, but the speed of system adaptation and its training remained in question.