Translartion. Region: Russians Fedetion –
Source: Novosibirsk State University – Novosibirsk State University –
RB.RU is a media outlet for business owners and those who want to become one. RB Chuyka — an annual special project in which the media selects 100 promising Russian company projects. The goal is not just to highlight companies that have shown themselves in the past year, but also to introduce readers to new faces on the market, as well as to show which niches are promising for startups and investors.
Startup Lexis Voice from NSU Catalist— a special acceleration program from NSU Startup Studios, which helps to reveal creative and scientific potential, create and bring technological projects to the market, was included in the RB Choice rating. Its founders are students of the Higher College of Informatics of NSU and the Faculty of Economics of NSU.
The Lexis Voice project is a practical simulator for training managers in “cold sales” using artificial intelligence. The system simulates dialogues with clients, analyzes the results and offers recommendations for improving sales skills. This solution frees experienced employees from performing the standard procedure for training newcomers.
“We help companies with sales departments that want to improve the skills of sales managers and reduce the time for their training through our AI Model, which is able to parody the client’s behavior and give personalized recommendations for training the manager based on his conversation with it,” they write in their telegram channelfounders of the project.
In 2024, Lexis Voice entered the TOP-5 projects of the Phystech.Idea accelerator from MIPT and successfully conducted a pilot project with Rostelecom. The main goal of the experiment was to identify the key problems that sales managers face during the onboarding process, as well as to assess the potential of the Lexis Voice product being developed to solve these problems.
— During the experiment, we focused on the following aspects. The first was to analyze existing training methods and their effectiveness. The second was to test the hypothesis that our AI-based training algorithm could significantly reduce the onboarding time for new employees. The third was to evaluate the potential increase in manager performance in the long term. The approach we used included a comparison of the standard employee training process and the updated process we offer, — the developers say.
The team divided the employees into two groups of four people each: one group underwent the training that the company provides, and the other followed the new algorithm that underlies the product. Results:
1. The adaptation time was reduced by 5 times in the group that followed the new method.
2. Managers from the AI group achieved their KPIs faster.
3. The level of skills in handling objections and closing deals increased by more than 30%.
More details about the results of the experiment can be found by link.
It is safe to say that the guys’ hypothesis was confirmed. Acceleration of training, reduction of the workload of senior managers and increase in the efficiency of new employees are indicators that can be reproduced in other companies.
There is a high probability that this approach can revolutionize this conservative area and significantly change the standard methods of training employees.
“We are confident that these achievements can be scaled and benefit companies and, most importantly, the people who work in them,” the students conclude.
Currently, more than 10 companies from various fields, from fitness centers to remote sales departments, are showing interest in implementing the solution.
In addition to Lexis Voice, the list of 100 promising startups in Russia also included the MPlays project, a service that analyzes external advertising traffic on marketplaces. The startup from Novosibirsk received support from the Innovation Assistance Fund and the federal project University Technological Entrepreneurship Platform.
The following materials were used in preparing the news: RB.ru.
Please note: This information is raw content directly from the source of the information. It is exactly what the source states and does not reflect the position of MIL-OSI or its clients.