The first attempt to implement speech analytics as a process was made two years ago, when the bank turned to a large Russian company . However, the cost of the solution was excessively high and did not guarantee immediate results. After an unsuccessful attempt, the management continued to look for an affordable and technological solution.
After a long search, the bank decided to implement SalesAI. The reasons for the choice were several factors:
Reasonable price and the ability to stop using it if the system does not meet expectations.
Easy integration with current processes . SalesAI colombia mobile database offered the ability to quickly integrate with the bank's existing telephony system.
Technical support and team training . SalesAI employees provided consultations and helped the bank understand how to use the system most effectively.
It was also important that the company was ready to test different usage scenarios and find the most comfortable result, adapted to the bank’s needs.
Expectations from the implementation of smart speech analytics in the bank
The bank's management expected that SalesAI would help eliminate routine call listening, provide transparency in assessing the work of managers, and improve the quality of communication with clients . The goal was to obtain clear data on each call in real time. In addition, the system was supposed to become a tool for improving the quality of service and increasing sales .
Why did you implement SalesAI smart speech analytics?
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