Solution Products - Pachira information technology (Beijing) Co., Ltd.

Smart Risk Control

Perform intelligent quality inspection on incoming/outgoing calls of voice agents, and provide risk business models to reduce potential risks for the enterprise.

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Industry Pain Points

行业痛点

Low quality inspection coverage

Quality inspection coverage is less than 30%, resulting in many hidden value or risk of the recording is ignored.

High labor cost

With the increase of business volume, it is necessary to invest a lot of manpower and material resources to meet the quality inspection requirements in order to meet the quality inspection proportion, and the cost is not sustainable.

Inconsistent standards

Manual sampling is limited by cognitive level, judgment, subjective consciousness, resulting in difficult to achieve fair and just quality inspection standards, quality inspectors' skills difference degree is obvious.

High risk "after the fact" remedial

Traditional quality inspection is 'post-facto' quality inspection, unable to find problems in the first time and provide timely solutions, unable to achieve 'in-process' management and strong supervision expectations.

Solution Products

行业痛点

Quality inspection analysis
Accurate complaint model
Complaint level management

Solution Description

Through the quality inspection analysis assistant, the full voice inspection can be realized, and the error judgment caused by human factors can be avoided. According to the matching model and indicators, the fault detection rate is improved, and the system supports automatic order dispatch, problem locating, system recording, and statistical output.

Application scenarios

Customer service center, risk warning, and quality inspection scenarios

Solution Description

Role entry can be realized through technology, and the model can be established according to roles. According to the complaint clearly mentioned by customers, the corresponding model can be established as the complaint call, so as to achieve rapid and accurate positioning of customer complaints in mass recording. According to the cooperation between the model and the system, all kinds of similar risk scenarios can be recognized and captured.

Application scenarios

Complaint scenario

Solution Description

The emotion and complaint recordings were captured by the model and classified and screened by the emotion level model. At the same time, it can realize the precise identification and capture of level scenes by cooperating with the system. Examples of output contents are as follows: Complaint early-warning_ minor class; Customer complaints _ general class; Customer dissatisfaction _ serious category; Emotional loss of control _ serious category.

Application scenarios

Customer hierarchical management, satisfaction management, and various customer service feedback scenarios.

Advantage

行业痛点