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Number of applications: 19

Development of an AI system for automatic analysis of sales department calls
Customer

A12
Decision acceptance deadline

28.08.26 (inclusive)

Form of award

Contractual

Product status

MVP

Task type

ICT tasks

Сфера применения

Media sphere

Область задачи

Neurotechnology and artificial Intelligence

Type of product

Software/ IS

Problem description

A large number of phone calls are made daily in sales departments, while the manager is physically unable to listen to and objectively evaluate each conversation. Due to manual control, some of the managers' mistakes go unnoticed: the customer's needs are not identified, objections are skipped, sales stages are not followed, and the reasons for refusals are not always recorded. It is necessary to automate the processing and analysis of calls using artificial intelligence in order to obtain an objective assessment of each conversation, identify managers' growth points and generate analytics for the manager.

Expected effect

Automate the quality control of the sales department, reduce the time for manual listening to calls and improve the quality of customer interaction. The system will allow you to analyze up to 100% of conversations, automatically identify managers' mistakes, customer needs and objections, reasons for refusals, and make recommendations. It is expected to increase the transparency of the sales department and the effectiveness of managerial decision-making.

Full name of responsible person

Azat Mamykanov

Purpose and description of task (project)

The aim of the project is to develop an AI system for automatic analysis of telephone conversations between sales managers. The system must process call recordings, convert speech into text, and use artificial intelligence to analyze the quality of communication with the client. The main tasks of the system: * recognition and transcription of telephone conversations; * determining the manager's compliance with the sales scenario; * identification of the client's needs and objections; * fixing the reasons for the refusal; * quality analysis of the manager's work; * automatic generation of a short summary of the conversation; * determining the next recommended action for the client; * formation of analytics for the head of the sales department; * the ability to integrate with CRM systems. The expected result is a solution that will automate call quality control, reduce the time for managers to manually listen to conversations and receive objective analytics on the work of the sales department.

Note

We are considering proposals from teams and developers with experience in artificial intelligence, speech recognition and analysis, information system development, and CRM integration. We are ready to discuss technical details, terms of implementation, stages of development and terms of cooperation with potential performers.

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