Automatic search for weaknesses in the team's work

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Even with basic settings, AI understands when a manager makes a mistake. For example, he does not mention the company and his own name, does not tell the client the next steps in the deal. Such basic analysis allows you to notice mistakes in the work of managers and conversations that are worth paying attention to.

This solves another pain point — when bahrain telegram data management listens to calls that are actually well-processed. For example, one of our clients discovered that 80% of managers’ conversations were error-free using AI. Previously, analyzing them only wasted time.

However, mistakes are a very individual thing, depending on the context of the conversation and the specifics of the business. Therefore, there are no general rules about what is considered a mistake and what is not. Here are a few examples.

The company sells several types of products: in particular, dresses and purses. If the manager does not ask the client about the desired dress size, it is a mistake. But when it comes to a purse, such a question loses its meaning.
The conversation is divided into several stages. At the stage of clarifying needs, it is necessary to ask questions about the client's wishes. But at the stage of concluding the conversation, this is not necessary.
The conversation scenario can “branch” depending on the customer’s reaction. For example, if the customer is dissatisfied with the previous purchase, the manager should offer a discount. If the customer is satisfied, thank them and offer additional products. If the employee confuses these actions, it is a mistake.
In such cases, a separate service will be required for a complete analysis - tuning artificial intelligence to the company's business processes. For example, we use Ringostat AI Supervisor. The following data is used to train artificial intelligence.