DeepBrain AI Expands 'AI Role Play' Into Sales Training
TECHWORLD ·
✦ AI Summary
DeepBrain AI said on the 9th that it is expanding the scope of its AI-based sales training solution, "AI Role Play."
Starting with speech training for insurance planners, "AI Role Play" has expanded to customer service consultations, in-store responses, and two-way learning after lectures, and is now being broadened to financial PB, general sales, and sales organizations.
DeepBrain AI also plans to expand the scope of application to the distribution, automobile, and telecom industries.
DeepBrain AI announced on the 9th that it is expanding the scope of its AI-based sales training solution, "AI Role Play." The company said it is broadening the use cases for "AI Role Play," which it had previously applied to some training areas. The purpose of the expanded scope is to strengthen its push into the corporate training market.
"AI Role Play" is a training method in which users converse with an AI customer as if in a real consultation. The solution helps the AI take on the role of a customer and talk with training participants so they can practice the consultation process. Through this, participants train in identifying customer needs, explaining products, and handling objections.
The training method focuses on repeated practice in real sales situations. DeepBrain AI has applied "AI Role Play" starting with speech training for insurance planners. It has since expanded the solution to customer service consultations, in-store responses, and two-way learning after lectures.
More recently, the company has expanded its use to financial PB, general sales, and sales organizations. The expanded areas are financial PB, general sales, and sales. DeepBrain AI said it will strengthen its push into the corporate training market through this expanded scope.
The training is designed to let financial PB and general sales organizations practice the entire customer response process. Training for financial PB consists of understanding customer asset management goals and interests, as well as explaining financial products. The training scope for general sales organizations includes identifying customer needs, proposing products, responding to price objections, making purchase decisions, and practicing scenarios at each sales stage.
The AI customer can be configured to represent a range of customer types based on real sales environments. Examples of AI customer types include customers who are uninterested in products, customers who do not trust explanations, customers comparing multiple products, and customers who keep asking expert-level questions. The training is structured around response methods for each scenario.
DeepBrain AI said the AI customer shows different responses depending on facial expressions, tone, personality, and interests. It also said the AI customer responds based on the flow of the conversation rather than by repeating fixed answers. Training participants practice conducting consultations while identifying the customer's attitude and situation.
The training supports customized education by reflecting each company's product and service information, major customer types, consultation guidelines, and best sales cases in the AI customer and evaluation items. In addition, each company can build the training process around situations that frequently occur in the field.
The service analyzes conversation speed, intonation, and facial expressions during consultations and provides feedback based on that analysis. After a consultation ends, it presents appropriate responses, areas for improvement, and expressions that could be refined to support repeated learning.
The company said the service can reduce the scheduling burden of conventional face-to-face role-play training and also narrow differences in evaluation standards for such training. It added that new employees can experience a variety of consultation scenarios before meeting customers, while experienced employees can focus on training for difficult customer types and high-difficulty situations.
DeepBrain AI plans to expand the scope of AI Role Play. The industries targeted for expansion are distribution, automobiles, and telecom, based on the characteristics of industries where customer service and sales capabilities are especially important.
Jang Sae-young, CEO of DeepBrain AI, said that in sales and financial consultations, the ability to understand customer reactions and communicate appropriately for each situation is just as important as product knowledge. He added that the company plans to support improved consultation capabilities by reflecting corporate sales know-how and training systems, and to help connect those improvements to better performance and higher revenue.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=406751
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Source: TECHWORLD
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