The best way to effectively .Find out how neural networks help make the sales department work more efficient and reduce control costs
The vast majority of OP managers face the problem of monitoring the quality of managers’ work. Manually listening to calls requires huge resources and time, and the results do not provide a complete and accurate picture.
In this article, we’ll look at how SalesAI technology solves these problems and why automating. Call monitoring is a must-do for anyone looking to become a leader.
Disadvantages of manual call monitoring
When companies experience a decline in phone number list conversions. Executives begin to listen intently to their managers’ calls and quickly realize that this process has many drawbacks:
Insufficient and unreliable information
One of the main problems is the insufficiency and unreliability of the. The best way to effectively information provided by QC managers. Many are faced with the fact that call data is provided in inconvenient formats, such as. Excel tables, which are difficult to analyze and use for decision-making. As a result, managers receive limited and goals she spends much of often inaccurate data, which makes it difficult to identify real problems and make effective decisions.
Delay in data provision
Another problem is the delay in providing data. Due to the high workload, the QC managers transfer information with a delay of a week to a month . This means that by the time the call data is received, the situation in the company may have already changed, and the identified problems may become irrelevant. Such a delay reduces the efficiency of management and complicates the implementation of necessary adjustments to work.
Monitoring all calls manually requires significant whatsapp number resources. If a company has a large number of managers, listening to each call becomes an extremely labor-intensive process. This requires hiring additional employees, which entails additional costs. As a result, the company is forced to choose between the high cost of manual monitoring and the incompleteness of data when selectively listening to calls.