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DeepBrain AI Expands Sales Training With AI Customers

AI TIMES ·

[Photo: 딥브레인AI]

✦ AI Summary

According to AI TIMES, DeepBrain AI said on the 9th that it will strengthen its push into the corporate education market by expanding the sc…

According to AI TIMES, DeepBrain AI said on the 9th that it will strengthen its push into the corporate education market by expanding the scope of its first domestic AI role-play solution to include financial PB teams and general sales organizations. Unveiled in June, the solution uses AI to take on the role of customers, helping users practice repeated training that closely resembles real consultations. Its core function is to combine humanlike AI customers with real-time coaching, allowing trainees to practice the full flow of field interactions, from identifying customer needs to providing explanations and handling objections. The company also highlighted that the course can be customized to reflect each company’s products and services, key customer types, and consultation guidelines. It said the system is intended to reduce the scheduling difficulties and evaluation inconsistencies that arise in traditional in-person role-playing, while providing a consistent training standard for both new hires and experienced employees. Based on this, DeepBrain AI plans to further expand its use to other industries where customer touchpoints are important.

Perspective

This move shows that corporate training may be shifting from knowledge transfer to hands-on response training. In particular, the ability to repeatedly practice the same scenarios and keep feedback criteria consistent could become a turning point in standardizing the quality of sales training. In the end, the competitive point is likely to shift away from simple automation and toward how well a solution reflects each organization’s on-the-ground context to create a learning experience that feels close to real-world practice.

This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.

This article was produced with the help of an automated content generation algorithm.


Source: AI TIMES

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