General view of calculating the efficiency of SalesAI implementation

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Initial data for calculation:
1. Before implementation
Total number of calls per day for the entire sales team


2. After implementing SalesAI
The average bill has not changed

The total number of calls has not changed.

Based on the real experience of our client, czech republic mobile database whose conversion increased by 15% , that is, the number of transactions per day increased to 23 => this means that the total revenue for the month with the same volume of calls and the same sales team increased by 6 million rubles.

Taking into account the cost of this increase in the amount of 190,000₽ for the SalesAI PRO tariff,


You can check your calculations in our calculator.

Example of implementation of speech analytics SalesAI
The bank implemented SalesAI speech analytics to optimize the work of the sales department. Before the implementation, the key problems were low productivity of managers, ineffective work with customer objections and lack of objective data for analyzing negotiations.

With the implementation of SalesAI, the company was able to automate the process of analyzing calls, highlighting key points of negotiations, including tone, frequency of objections and the level of customer involvement. Thanks to this, it was possible to:

Increase manager productivity by 25% through data-driven learning.