The process of implementing new technology rarely. Overcoming Challenges to goes smoothly, and SalesAI was no exception. There were some challenges that needed to be overcome along the way to successful integration.
Firstly, the system incorrectly classified some of the calls at the first stages. This led to false positives and errors in assessments. The accuracy of the system at a cold start was 65%. For this class of neural networks, this is standard accuracy. But for solving the client’s problem, this is a very low level. It was necessary to conduct additional training of the neural network so that it could better distinguish the types of calls specific to this business and give accurate assessments based on the developed checklists.
For dditional training, the method described in this article was used
Secondly, the lack of telephony integration with mobile database CRM made it difficult to link call data to specific requests and clients. This prevented a comprehensive analysis of each contact with the client. To overcome this problem, additional settings and scripts were required to more effectively track calls and match them with the database.
Another challenge was training employees to
Work with the new system. At first, managers felt uncomfortable and even resisted the implementation of SalesAI, fearing control from artificial intelligence. However, conducting training. Overcoming Challenges to sessions and demonstrating the benefits of the system helped them adapt and understand that SalesAI is an assistant, not a control tool .
The speed of implementation also played a major role. The bank needed to see positive results as quickly as possible. So salesai responded promptly to requests for optimization and refinement. Constant communication with salesai technical support and. Refinement of the system’s operation scenarios helped overcome emerging. Difficulties promote integration between sales and marketing and achieve the set business goals.
SalesAI now functions as a reliable quality control tool, helping the bank’s management make timely decisions and improve the efficiency of the sales department .
Reality of Implementing Smart Speech Analytics SalesAI in a Bank: Business Results
The implementation of SalesAI in the bank not only allowed for the automation of call listening, but also brought a number of business results. The system took over the routine work of the quality control department, providing analysis of each call in real time. Thanks to SalesAI, the bank was able to identify ineffective calls, reduce the number taiwan lists of errors and improve customer service standards.
As a result of the implementation, the productivity of sales managers has increased . Now they have the opportunity to receive timely feedback, which helps them improve their skills. Moreover, the transparency of the sales department and the effectiveness of using scripts have increased the conversion rate for processing applications.
