How does SalesAI help you identify key benefits?

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For one client, this is a reduction in manual labor.
For another, it is reducing the number of errors.
For the third, it frees up time for strategic tasks.
Thus, a successful manager knows how to present one benefit depending on how it solves the problem of a specific client.

SalesAI uses Process Mining , a technology that allows analyzing customer interaction data and identifying key tasks that interest them. This process includes several stages: data collection, processing using a neural network, decoding, and subsequent analysis by analysts. The result is a set of practical recommendations for business.

1. Collection and processing of data
At the first stage, the system collects data from hong kong mobile database calls, correspondence and CRM. The SalesAI neural network processes this data, highlighting key points: the tasks mentioned by clients, needs and aspects of the product or service that interest them.

2. Analysis of tasks and identification of advantages
After processing, analysts examine the results provided by the neural network to create a list of tasks that were most frequently mentioned by clients. This list may include both obvious and hidden needs that are difficult to identify during standard interactions.

For each task, the system provides a pool of benefits that have proven to be the most decisive in previous calls. For example, in the retail sector, one of the tasks may be “increasing the average check.” For this task, the key benefits may be personalized discounts, the availability of loyalty programs, and the possibility of fast delivery.